The role of the fashion buyer is undergoing a profound transformation. Once centred primarily on product selection and trend intuition, the position is now increasingly strategic, data-driven, and closely connected to digital commerce. At the same time, the job market for fashion buyers is evolving, with fewer traditional roles but growing demand for professionals who combine product expertise with analytical and digital skills.

This article explores how the fashion buyer role is changing, how the job market is evolving, and where professionals can find new career opportunities.

How the role of the fashion buyer is evolving

From intuition to data-driven decision making

Traditionally, fashion buyers relied heavily on personal taste, trend forecasting, and relationships with brands. Today, decisions are increasingly supported by data analytics, artificial intelligence, and performance metrics.

Buyers now work with tools that analyse:

• historical sales performance
• customer preferences
• price elasticity
• inventory turnover
• demand forecasting

The modern buyer is becoming a “data-informed curator”, combining creative sensitivity with analytical capabilities.

Integration with technology and AI tools

Digital transformation is reshaping the way buying decisions are made. AI-powered tools help predict demand, optimise assortments, and reduce overstock risk. Many retailers now use advanced planning systems that simulate product performance before committing to orders.

As a result, buyers increasingly collaborate with:

• data analysts
• merchandising teams
• eCommerce managers
• digital marketing specialists

The role is becoming more strategic and less operational.

From product selection to assortment strategy

Buying is no longer simply about selecting products. Today’s buyers must balance:

• profitability and margins
• brand positioning
• inventory risk
• customer experience
• pricing strategy

Buyers are increasingly responsible for building structured assortments that include:

• core products
• seasonal trends
• experimental items
• exclusive collaborations

In many organisations, buyers act as category managers responsible for the overall commercial performance of product lines.

Customer-centric and omnichannel approach

The growth of eCommerce has significantly influenced buying decisions. Buyers must understand how customers interact with brands across multiple channels:

• online store
• marketplaces
• physical retail
• mobile commerce
• social commerce

Consumer data plays an increasingly important role in determining product selection, quantities, and timing of product launches.

Buying decisions are now closely aligned with CRM strategies and customer lifetime value.

Increased collaboration across departments

The buyer role is no longer isolated within merchandising teams. Today’s buyers collaborate closely with:

• digital marketing teams
• eCommerce managers
• supply chain departments
• brand and creative teams

Product selection is increasingly influenced by storytelling, campaigns, and digital positioning.

Faster product cycles and agile buying models

Fashion companies are reducing time-to-market and introducing more frequent product drops. This requires buyers to react faster to market signals and adapt assortment strategies more dynamically.

Test-and-repeat models allow brands to launch smaller product quantities and scale successful items quickly.

Sustainability and responsible sourcing

Sustainability remains an important factor in buying decisions. Buyers are increasingly involved in selecting suppliers based on:

• ethical production practices
• material sourcing
• environmental impact
• transparency

Although cost pressures sometimes limit the speed of change, sustainability is expected to remain a long-term priority in buying strategies.

How the job market for fashion buyers is evolving

Fewer traditional roles, higher skill requirements

The number of traditional fashion buyer roles is gradually declining as retailers optimise organisational structures and adopt automation tools.

Companies are increasingly looking for professionals who combine:

• commercial awareness
• analytical skills
• digital understanding
• financial planning capabilities

The role is evolving into a hybrid position between buyer, merchandiser, and business analyst.

Growing demand for hybrid digital profiles

Fashion companies increasingly seek professionals with experience in:

• eCommerce merchandising
• data analysis
• assortment optimisation
• pricing strategy
• omnichannel retail
• demand forecasting tools

Professionals who understand both product and digital performance are particularly valued.

Polarisation between luxury and mid-market segments

Opportunities for buyers vary significantly depending on market segment.

Luxury and premium brands continue to invest in differentiated assortments and exclusive collaborations, maintaining demand for experienced buyers.

Mid-market retailers are more exposed to margin pressure and competition from online platforms, which has led to restructuring and more selective hiring.

Entry-level roles becoming more competitive

Junior roles such as assistant buyer positions still exist but often require:

• internships or practical experience
• strong Excel and analytical skills
• understanding of eCommerce metrics
• familiarity with digital tools

Graduates entering the profession are expected to have a more technical skill set than in the past.

New career paths related to buying

As the profession evolves, new roles are emerging that are closely related to buying:

• Merchandise planner
• Category manager
• eCommerce merchandiser
• Product data analyst
• Demand planner
• Marketplace manager

These roles often offer strong career opportunities for professionals with analytical and digital competencies.

Where to find fashion buyer job opportunities online

Specialist fashion job platforms

Some job boards focus specifically on fashion and luxury roles:

• FashionUnited
• BoF Careers
• Drapers Jobs
• Fashion Workie

These platforms often include positions in buying, merchandising, and product management across international markets.

General job platforms

Large job platforms provide a high volume of listings:

• LinkedIn Jobs
• Indeed
• Reed
• Totaljobs
• Glassdoor

These platforms allow users to set alerts and track market trends in hiring demand.

Recruitment agencies specialised in fashion and luxury

Recruitment agencies often manage mid-level and senior buyer searches:

• Zachary Daniels
• Luxury Recruit
• Four Seasons Recruitment
• Elite Associates

Working with specialised recruiters can increase access to confidential opportunities.

Key skills for the future fashion buyer

Professionals who want to succeed in the evolving job market should develop skills in:

• data interpretation
• Excel and analytics tools
• assortment planning
• pricing strategy
• digital merchandising
• omnichannel retail strategy
• supplier negotiation
• trend analysis

The combination of creative and analytical capabilities is becoming essential.

Conclusion

The role of the fashion buyer is becoming more strategic, analytical, and digitally integrated. While the number of traditional roles may decline, new opportunities are emerging for professionals who can combine product expertise with data-driven decision-making.

Understanding how digital commerce influences buying decisions is now a key success factor. As fashion companies continue to invest in omnichannel strategies, the buyer role will increasingly sit at the intersection of product, customer experience, and business performance.

For professionals working in fashion eCommerce and digital transformation, this evolution creates new career opportunities and highlights the growing importance of cross-functional skills.

Best websites for fashion buyer jobs

Specialist fashion job boards

These are often the most relevant because they focus on fashion, luxury and retail roles.

1. FashionUnited

• Strong European coverage
• Roles in buying, merchandising and product management
• Includes brands like NEXT, White Stuff, etc.
• ➜ Browse fashion buyer jobs

2. BoF Careers

• High-quality roles in luxury and premium brands
• Good for senior buyer positions
• Often includes international roles

3. Drapers Jobs

• Focus on UK fashion retail and brands
• Useful for buying and merchandising roles

4. Fashion Workie

• Good for internships and entry-level buyer roles
• Increasing number of digital commerce roles

General job platforms (large volume of roles)

5. LinkedIn

• Very strong for fashion buyer roles in UK and Europe
• Example: 190+ fashion buyer jobs listed in the UK
• Useful for networking with hiring managers

6. Indeed

• Large database of fashion buying roles
• Includes hybrid roles like buyer + eCommerce manager

7. Reed

• Around 100+ buyer-related openings depending on filters

8. Totaljobs

9. Glassdoor

Major UK job sites like Indeed, LinkedIn and Reed are considered among the most effective platforms due to their large number of listings and filtering tools

Recruitment agencies specialising in fashion & retail

Useful especially for mid-senior roles:

• Zachary Daniels
• Luxury Recruit
• Four Seasons Recruitment
• Elite Associates

Recruiters often manage confidential buyer searches.

Most requested skills for fashion buyer jobs

1. Analytical & data skills (increasingly critical)

Modern fashion buyers are expected to interpret performance data and make financially sound decisions.

Most requested capabilities include:

• sales analysis
• demand forecasting
• margin optimisation
• budgeting and cost control
• assortment performance analysis
• KPI monitoring

Analytical and numerical ability is consistently listed as a core competency because buyers must evaluate profitability and forecast demand trends.

Understanding ratios, pricing structures, and margins is essential for commercial decision-making.

2. Commercial & strategic thinking

Employers increasingly seek buyers who understand the broader business impact of product decisions.

Key strategic skills include:

• pricing strategy
• category management
• assortment planning
• product lifecycle management
• competitor benchmarking
• profit optimisation

Buyers are responsible for ensuring product ranges meet customer demand while achieving business goals.

Strong business acumen and decision-making skills are frequently highlighted in job descriptions.

3. Trend forecasting & product sensitivity

Creative judgment remains essential in fashion buying roles.

Frequently requested capabilities:

• trend forecasting
• product selection
• understanding consumer preferences
• competitor analysis
• brand positioning awareness

Buyers must interpret fashion trends and align product choices with target customer expectations.

Trend research remains a core responsibility across fashion buying careers.

4. Negotiation & supplier management

Relationship management skills remain highly valued.

Typical requirements:

• vendor negotiation
• supplier relationship management
• cost negotiation
• partnership development
• sourcing strategy

Vendor relations and negotiation skills are among the most frequently mentioned competencies in buyer resumes.

Strong interpersonal communication skills are necessary for collaboration with suppliers and internal stakeholders.

5. Digital & technical skills (fast-growing requirement)

The digitalisation of retail is changing skill requirements.

Increasingly requested technical skills include:

• Excel and data tools
• merchandising software
• ERP / PLM systems
• eCommerce analytics
• inventory management software
• omnichannel performance analysis

Proficiency with retail systems and inventory management tools is often required in job descriptions.

Overview of the fashion buyer career path

The career progression traditionally follows a structured hierarchy, starting with administrative support roles and moving toward strategic leadership positions.

However, today the path is becoming more flexible, with increasing crossover into merchandising, eCommerce, and data-driven roles.

What the typical career progression in fashion buying looks like

1. Entry level roles

Buying Assistant / Buying Admin Assistant

Typical experience: 0–2 years

Responsibilities:

• managing product data and samples
• preparing reports and sales analysis
• supporting supplier communication
• coordinating orders and deliveries
• updating assortment information in systems

Skills developed:

• Excel and reporting
• organisation and time management
• basic retail KPIs
• understanding product lifecycle

This role provides exposure to the operational side of buying.

Assistant Buyer

Typical experience: 1–3 years

Responsibilities:

• analysing product performance
• supporting assortment planning
• supplier coordination
• preparing buying meetings
• trend research

Skills developed:

• data interpretation
• trend analysis
• negotiation basics
• pricing structure understanding

Assistant buyers begin contributing to product selection decisions.

2. Mid-level roles

Buyer

Typical experience: 3–6 years

Responsibilities:

• selecting product ranges
• managing budgets and margins
• negotiating with suppliers
• analysing sales performance
• defining seasonal assortment strategy

Skills developed:

• commercial decision making
• forecasting
• supplier negotiation
• assortment optimisation
• category strategy

Buyers are responsible for the commercial success of product categories.

Senior Buyer

Typical experience: 5–8 years

Responsibilities:

• defining category strategy
• managing supplier relationships
• mentoring junior team members
• aligning buying with brand positioning
• improving margin performance

Skills developed:

• strategic thinking
• leadership skills
• advanced financial planning
• cross-functional collaboration

Senior buyers often manage complex or high-value product categories.

3. Leadership roles

Buying Manager / Head of Buying

Typical experience: 8–12 years

Responsibilities:

• leading buying teams
• defining company assortment strategy
• aligning product strategy with brand positioning
• managing budgets across categories
• collaborating with merchandising and marketing teams

Skills developed:

• leadership and team management
• business strategy
• financial planning
• cross-department coordination

Buying Director / Chief Merchandising Officer

Typical experience: 12+ years

Responsibilities:

• defining company-wide product strategy
• managing multiple categories
• aligning buying strategy with financial targets
• contributing to company growth strategy
• overseeing merchandising structure

These roles are highly strategic and closely connected to company leadership.

Sources

FashionUnited – retail insights and buying trends
McKinsey – The State of Fashion reports
Business of Fashion Careers – job market insights
Drapers – UK fashion retail employment trends
LinkedIn Jobs – fashion buyer job listings
Indeed – retail and fashion employment data
Luxe Talent – recruitment insights in fashion and luxury
U&I Search – hiring trends in fashion and retail

Interview with Giulio Salvucci Digital Fashion expert and founder of Search Bridge.

The interview features a discussion between Enrico Fantaguzzi and Giulio Salvucci, an e-commerce expert and founder of the startup Search Bridge. They discuss how Large Language Models (LLMs) like ChatGPT are fundamentally changing how consumers search for products and what fashion brands must do to adapt to this new landscape.

Key Topics

• The Shift from SEO to GEO (Generative Engine Optimization): While traditional SEO focuses on optimizing a single website for search algorithms, GEO requires building brand authority across the entire web. LLMs do not just look at a brand’s website; they synthesize answers by pulling “multi-signal” data from diverse touchpoints like journalistic articles, forums, communities, and review sites like Trustpilot.
• The Collapsing Marketing Funnel: The traditional user journey of researching and filtering products across multiple websites is condensing into a single step within AI chatbots. Users can now ask an LLM for specific items (e.g., “a spring sweater in my size and price range”), and the AI will filter catalogs and provide highly targeted recommendations directly in the chat, turning the brand’s website primarily into a final checkout destination.
• The Attribution Measurement Gap: Currently, traditional tracking systems rely on “last click” models, making it very difficult to measure how much traffic truly originates from AI searches. Traffic influenced by LLMs often shows up as “direct” or “organic” in analytics, creating a “black box” scenario where multiple customer interactions happen invisibly within the AI.
• The Social Media “Blind Spot”: Major social platforms like Meta (Instagram) and TikTok actively block LLMs from scraping their data to protect their own traffic. As a result, massive marketing budgets spent on these platforms do not contribute to a brand’s visibility or authority on generative AI engines.
• Content Optimization for Machines: To be cited by LLMs, brands need to adapt their copywriting. Content must be highly factual, clear, and simple—ideally matching the reading level of a 10-11 year old, which can be measured by metrics like the Flesch score. Formats like FAQs and comparative tables are highly favored by LLMs.

Key Takeaways for Brands

• Maintain Absolute Consistency: It is crucial that brand information (e.g., number of stores, technical details) is identical across every single online touchpoint; inconsistencies cause LLMs to view the information as unreliable.
• Prepare for Direct AI Feeds: In the near future, brands will be able to submit their product catalogs directly to LLMs (similar to Google Shopping feeds), bypassing the need for the AI to crawl their websites.
• Manage Online Reputation Proactively: Because LLMs read external sites to form answers, brands must actively engage in digital PR, moderate complaints on sites like Trustpilot, and participate in online community discussions.
• Do Not Discount Google: While OpenAI and ChatGPT are popular, Google remains incredibly powerful because it can combine its new AI models (Gemini) with its massive existing infrastructure, including Google Maps and Google Shopping.
• Invest in Continuous Learning: The AI landscape is evolving exponentially. Professionals must dedicate significant time to continuous education, as disruptive new technologies can emerge and change the rules in just a matter of months.

How can brands improve their authority to rank in GEO?

To improve authority and rank in Generative Engine Optimization (GEO), brands must shift their focus from purely optimizing their own websites to building a comprehensive, multi-channel digital presence. Large Language Models (LLMs) synthesize answers by drawing correlations from various sources across the web, meaning a brand’s authority is determined by its overall digital footprint rather than just its website.

Here are the key strategies brands should implement to improve their GEO authority:

• Generate “Multi-Signal” Traces Across the Web: Brands must establish semantic traces across diverse touchpoints, including journalistic articles, reference sites, forums, and online communities.
• Focus on Accessible Platforms: Because major social networks like Meta (Instagram/Facebook) and TikTok actively block LLMs from scraping their data, brands should invest in platforms that AI can actually read, with networks like LinkedIn and YouTube becoming increasingly important.
• Prioritize Content Clarity: Content must be highly factual, direct, and objective. To ensure LLMs can easily read and cite the information, texts should be written simply—ideally matching the reading level of a 10-11 year old, which can be evaluated using a Flesch score.
• Maintain Absolute Consistency: For LLMs to consider information reliable, it must be identical across every single touchpoint. For example, if a brand has 100 stores, that exact number must be reflected uniformly on its website, press releases, and external articles; any inconsistency will cause the AI to deprioritize the information.
• Adopt AI-Friendly Formats: LLMs strongly favor specific content structures. Brands should incorporate FAQs (Q&A mode) and comparative tables, as these formats are easily digested and perfectly read by generative systems.
• Proactively Manage Online Reputation: Because LLMs analyze external discussions to gauge sentiment, brands must actively participate in digital PR and online communities. Engaging with customers and resolving complaints on review platforms like Trustpilot significantly improves the brand’s sentiment perception and visibility to the AI.
• Prepare for Direct Catalog Feeds: Looking ahead, brands should prepare to submit their product catalogs directly to LLMs—similar to how Google Shopping feeds operate—allowing the AI to access product data locally without having to crawl the brand’s website

How does AI affect the traditional e-commerce marketing funnel?

The traditional e-commerce marketing funnel is essentially collapsing into a single step within AI search engines. Rather than following the conventional journey where a consumer visits multiple websites and manually uses search filters, the AI is now condensing the research and filtering processes into one concentrated channel.

Consumers can simply ask an AI chatbot for highly specific items—such as a spring shirt with a particular pattern, style, or weight. The AI then acts as the filter, navigating various catalogs to present a narrow, curated selection of products from different brands that perfectly match the request.

This transformation affects the funnel in a few key ways:

• Accelerated Journey to Checkout: Traditional funnel stages like product discovery, research, and side-by-side comparison are now handled entirely within the AI’s chat interface. This allows the user to get almost to the final checkout stage without ever leaving the AI platform.
• Loss of Visibility (The “Black Box”): Because all of this research and consideration happens internally within the Large Language Model (LLM), brands lose the ability to track the early stages of the customer journey. A customer might have several interactions with the AI to narrow down their choice, but the brand only sees the final result when the customer suddenly arrives on their website to make a purchase, turning the top and middle of the funnel into an invisible “black box”

What is a Flesch score and how is it calculated?

The Flesch score is a metric that evaluates the complexity and readability of a text, determining how easily it can be read by both humans and Large Language Models (LLMs). For content to be highly optimized for AI systems, it should achieve a score that reflects a very simple and direct writing style, ideally matching the reading comprehension level of a 10 to 11-year-old child.

The score is calculated by analyzing two main structural elements of the text:

• Word length: It measures the number of letters within each single word.
• Sentence and paragraph length: It counts the number of words used to form paragraphs.

By keeping words short and paragraphs concise, brands can improve their Flesch score and ensure their content is more easily processed and cited by generative AI engines

How can I learn more about AI in Fashion?

You can learn more about AI in fashion through the Digital Fashion Academy, which offers several live online courses and certifications tailored to different career levels, goals, and time commitments.

Here are the primary learning paths they offer:

1. AI for Fashion Executive Master This is a comprehensive, 14-week part-time online program requiring about 3.5 hours of study per week. It is designed for managers, marketing professionals, and consultants who want to master end-to-end AI applications across the fashion value chain.

• What you will learn: How to implement AI in design and trend forecasting, supply chain and operations, merchandising, ecommerce, marketing, and customer service.
• Format: It features hands-on labs, real-world case studies, digital portfolio building, and one-to-one mentoring.
• Outcome: Upon completion, you earn an internationally recognized AI for Fashion Professional Certificate. The course fee is €2,150.

2. AI for Fashion Executives If you are a senior leader, CXO, or entrepreneur looking for a fast-track option, this is a 6-hour intensive program delivered over two 3-hour live sessions.

• What you will learn: It focuses heavily on executive strategy, teaching you how to identify high-ROI use cases, define an AI roadmap, and secure quick wins across design, marketing, and operations.
• Format: Interactive live sessions focused on frameworks and actionable strategy. The program costs €350.

3. Short Courses for Specific Skills If you are looking for highly targeted, practical knowledge, there are shorter courses available for €75 each:

• Essential AI Training for Fashion Professionals: Teaches you the principles of EU Artificial Intelligence compliance, how to safely use tools like ChatGPT at work, and how to craft effective, reliable prompts specifically tailored for fashion workflows.
• Personal Branding in the Age of AI: Focuses on using AI tools to build content libraries and boost your personal brand with a tone of voice that sounds like you.

Across these programs, you will learn directly from senior industry experts and digital strategists who have worked at top global luxury brands, including Gucci, Valentino, LVMH, Dolce & Gabbana, and Burberry. Both the Master and the Executive programs emphasize moving beyond the hype of AI to focus on practical implementation and real business results

What challenges fashion brands need to face?

Here is an analysis of the challenges facing fashion companies, structured using the categories of a Fishbone (Ishikawa) diagram to identify the root causes of the core problem.

Core Problem (The “Head” of the Fish): Navigating AI Disruption and Digital Transformation The fashion industry is facing a massive paradigm shift in how consumers discover products, how operations are managed, and how brands must present themselves online due to the rapid integration of Artificial Intelligence.

1. Measurement & Technology Challenges

• Obsolete Attribution Models: Traditional analytics rely on “last-click” models, which are incapable of accurately tracking traffic and influence originating from Large Language Models (LLMs).
• The “Black Box” Customer Journey: The traditional e-commerce marketing funnel is collapsing into a single step within AI chatbots. Because users research, filter, and compare products entirely within the LLM, brands lose visibility into the customer journey, often only seeing the final interaction when the user arrives to purchase.
• Data Flow and Management: Companies struggle with turning raw data into competitive advantages, requiring new workflows for smart data collection, analytics, and business intelligence.

2. Marketing & Visibility Challenges

• The Shift from SEO to GEO: Traditional Search Engine Optimization (optimizing a single website) is no longer enough. Brands must now focus on Generative Engine Optimization (GEO), which requires building semantic traces and authority across multiple external touchpoints, such as journalistic articles, forums, and reference sites.
• The Social Media Blind Spot: Fashion companies heavily invest their marketing budgets in platforms like Meta (Instagram) and TikTok. However, these platforms actively block LLMs from scraping their data, meaning this massive investment does not contribute to a brand’s visibility on generative AI engines.
• Proactive Reputation Management: Because LLMs source answers from across the web, brands can no longer rely just on their owned channels. They must actively monitor and manage their reputation on third-party community sites and review platforms like Trustpilot.

3. Content & Process Challenges

• The Copywriting Conflict: There is a clash between the emotional, highly creative copywriting traditionally favored by luxury brands and the direct, simple, and highly factual writing style required by LLMs. To be effectively cited by AI, content needs to match the reading level of a 10-11 year old (measured by the Flesch score) and utilize structural formats like FAQs and comparative tables.
• Absolute Information Consistency: AI engines penalize inconsistencies. If a brand states it has 100 stores on a press release but 98 on its website, the LLM will view the data as unreliable. Ensuring exact consistency across every digital touchpoint is a major operational challenge.

4. Operations & Supply Chain Challenges

• Efficiency and Optimization: Brands are challenged to optimize their inventory management, demand forecasting, pricing, and returns management in an increasingly complex retail environment.
• Sustainability: Companies face increasing pressure to adopt ethical AI, reduce waste, improve supply chain transparency, and implement circular business models.

5. People & Strategy Challenges

• The Exponential Pace of Change: The technology landscape is evolving so fast that disruptive new tools emerge every few months. This creates a severe risk of falling behind, making continuous professional upskilling and training an absolute necessity for fashion professionals.
• Governance and Risk Management: Leaders must figure out how to navigate complex legal, ethical, and governance frameworks, including the EU AI Act, data privacy, IP protection, and mitigating AI biases and “hallucinations”.
• Moving Beyond the Hype: Executives face the challenge of distinguishing real ROI-generating AI opportunities from industry hype, requiring them to define clear roadmaps, select the right vendors, and secure quick wins across design, merchandising, and operations without disrupting existing workflows

Video interview with Giulio Salvucci

What are shopify metafields and why they are important for fashion?

Metafields in Shopify are Product Attributes, like color, material, size, target gender.

When you create or edit a product in the Shopify backoffice, Shopify AI suggests the metafields that Shopify thinks are relevant to your product. It does that also based on the picture, the title and the description you upload. In other words, when you start craeting a product, there might not be any suggested metafields, but after you have added some product information, Shopify will update its suggested Metafields.

The other important thing to know is that you can create your own metafields. Shopify also calls the metafields Definitions, therefore if you want to create a new metafields you need to click on create new Definition.

The other thing you’ll notice is, there are Product Metafields and Category Metafields, this is another confusing thing, what is means is that Category Metafileds apply to Categories of Products. While Products metafileds potentially appy to all products. In other word a Category Metafield may not be applicable to a product if it’s not in the right Category,

How to use metafields for filters

The other very important use of metafields in fashion ecommerce is the creation of personalised filters in the product listing pages. Using the App Search and Discover you can customise the filters on your product listing page.

Using the app Search and Discovery you can turn the metafields into filter options that will make the user experience more efficient.

15 Essential Shopify Metafields for Fashion eCommerce

1. Product Material / Fabric Composition

Example: 80% wool, 20% cashmere

Why it’s important:

• mandatory for many markets
• improves product transparency
• useful for filters and product comparison

Type: Multi-line text or list

2. Fit Type

Defines how the garment fits.

Examples:

• Slim fit
• Regular fit
• Relaxed fit
• Oversized

Type: Single line text or dropdown

3. Garment Length

Especially useful for dresses, coats, trousers.

Examples:

• Cropped
• Midi
• Maxi

Type: Single line text

4. Model Size Information

Used by many premium fashion stores.

Example:

Model is 178 cm tall and wears size S.

Improves conversion and reduces returns.

Type: Text

5. Care Instructions

Displayed on product pages.

Example:

• Hand wash
• Dry clean only
• Machine wash 30°

Type: Multi-line text

6. Country of Manufacture

Important for transparency and compliance.

Example:

• Made in Italy
• Made in Portugal

Type: Text

7. Sustainability Attributes

Growing in importance for fashion brands.

Examples:

• Organic cotton
• Recycled materials
• Low-impact dye

Type: List or boolean

8. Season

Useful for merchandising and filtering.

Examples:

• SS25
• FW25

Type: Text

9. Collection / Capsule

Helps create storytelling and merchandising.

Examples:

• Summer Capsule
• Atelier Collection

Type: Text or reference

10. Fabric Weight

Used for premium garments and technical clothing.

Examples:

• Lightweight
• Midweight
• Heavyweight

Type: Text or dropdown

Variant-Level Metafields (Very Important)

These apply to specific sizes or colours.

11. Size Conversion Table

Example:

• EU 40 = US 8 = UK 12

Helps international customers.

Type: Text

12. Variant-specific Fit Notes

Example:

This style runs large, choose one size down.

Type: Text

Merchandising & Storytelling Metafields

These help create premium product pages.

13. Product Highlights

Short bullet points used in product pages.

Examples:

• Italian fabric
• Handmade details
• Limited edition

Type: List

14. Styling Suggestions

Used for cross-selling.

Example:

Pair with the matching blazer and loafers.

Type: Text

15. Lookbook Reference

Links a product to editorial content or campaign.

Examples:

• Spring Campaign
• Resort Collection Lookbook

Often connected to metaobjects.

Type: Reference

Bonus: Metaobjects Fashion Brands Often Use

Many premium Shopify stores also create structured content with metaobjects such as:

• Fabric libraries
• Designers
• Sustainability certifications
• Campaigns
• Lookbooks

These allow rich storytelling and reusable content across products and collections.

💡 Best practice used by many high-end fashion Shopify stores:

Use metafields to create structured product data that supports:

• product filters
• SEO
• AI search
• merchandising
• storytelling

This is one reason Shopify stores today can match the capabilities of enterprise platforms.

What is Knowledge Management and why it’s relevant for the implementation of Artificial Intelligence projects in fashion companies?

Knowledge Management (KM) refers to a range of processes focused on organisational awareness, learning, collaboration, and innovation. It involves actively sharing and utilising an organisation’s knowledge to achieve strategic goals, such as enhanced performance, continuous improvement, and competitive advantage.

In practice, KM deals with managing two primary types of knowledge: tacit knowledge (the internalised know-how and expertise in employees’ heads) and explicit knowledge (data and information that can be consciously communicated, codified, and stored in databases).

Here is why Knowledge Management is highly relevant for the successful implementation of Artificial Intelligence (AI) projects in fashion companies:

• Ensuring Data Quality and Process Mapping: AI applications run on structured and unstructured data, meaning they are heavily bound by the rule of “garbage in, garbage out”. To produce high-quality AI outputs, a fashion company must have a solid KM foundation that ensures data is accurate, well-structured, and accessible. Furthermore, accurately mapping business processes is an essential component of any AI application.
• Preventing “Band-Aid” Technology Fixes: AI is not a simple “plug and play” solution. If a fashion company has obsolete or broken processes, simply adding an AI agent or chatbot on top of them will not yield meaningful results. KM helps an organisation deeply understand its own domain, identify its real pain points, and clarify what parts of the business actually need to be evolved or improved before AI is applied.
• Bridging the Gap Between Fashion and Tech: To unlock the true power of AI, an organisation must possess two types of knowledge: deep domain expertise (knowing the fashion business and customer expectations) and AI literacy/fluency (understanding the potential, limitations, and risks of AI). Effective KM helps bridge this gap, ensuring that the people who think of the ideas (like creative directors, merchandisers, and planners) can effectively work alongside or directly leverage the technology that develops those ideas.
• Empowering Agentic AI: The future of AI in e-commerce and marketing relies heavily on “agentic AI,” which operates dynamically over databases rather than relying on rigid, pre-programmed rules (like traditional Excel formulas). By effectively managing and structuring their explicit knowledge—such as product databases and content repositories—fashion companies can use AI agents to execute complex tasks on the fly. For example, a marketing manager can use natural language to ask an AI assistant to pull data from a product table and a content table to instantly build a personalized landing page.

Ultimately, the successful adoption of AI requires a fundamental shift in mindset and culture. Implementing strong Knowledge Management practices ensures that a fashion brand actually knows what it wants to achieve and measure, allowing AI to act as a powerful tool for quick evolution rather than a disruptive distraction.

What are policies, procedures and guidelines and why they are important for fashion companies?

Policies, guidelines, and procedures are conceptual management tools used to provide structure and guide the day-to-day work within an organization.

Here is how they are defined:

• Policies: These are rules or principles that guide decisions to ensure compliance and consistency, focusing on what a company does and why it does it. For example, a travel policy determines how much employees can spend on trips and what class of transport they can use. Other examples include an employee code of conduct, privacy policies, and return or refund policies.
• Guidelines: These act as recommended approaches or best practices that outline how a company prefers to approach a task. In a fashion company, this might include visual merchandising best practices for organizing store windows, the tone of voice used on social media, or design standards for email marketing.
• Procedures: These are step-by-step guides on how to perform specific tasks to ensure they are completed the exact same way every time. Examples include the exact steps required to upload a new product to an e-commerce platform, the specific workflow for picking and packing a customer’s order, or the onboarding steps for a new employee.

Why they are important for fashion companies:

• Efficiency and Consistency: Implementing these tools makes a company significantly more efficient and the management approach more consistent. Because the rules and steps are already laid out, managers and employees do not have to waste time making decisions on a case-by-case basis.
• Guiding Employee Behavior: They help govern daily life within the company, helping employees make independent decisions that automatically align with the company’s expectations and define what is considered correct versus incorrect behavior.
• Cost Control and Risk Mitigation: Internal policies help determine and control the company’s cost structures (such as travel budgets). Furthermore, setting strict policies—such as a “no smoking” policy in a manufacturing workshop—can act as a preventative measure to mitigate concrete business risks like fires.
• Improving Customer Relationships: Ultimately, applying consistent procedures and policies ensures a reliable brand experience, which helps to improve customer satisfaction and strengthen relationships with both internal employees and external consumers

How can policies and procedures help with the introduction of AI in fashion companies?

Policies and procedures are foundational for successfully integrating Artificial Intelligence (AI) into a fashion company. Because AI is not simply a “plug and play” solution, implementing it requires a solid organizational structure, clean data, and clear boundaries.

Here is how policies and procedures directly support the introduction of AI:

• Preventing “Band-Aid” Solutions on Broken Workflows: If a fashion company has obsolete or poorly functioning procedures, simply adding an AI agent or chatbot on top of them will not yield meaningful results. Instead, it just applies modern technology to a flawed system. Therefore, business process mapping—the practice of clearly defining what a business does, how steps are executed, and who is responsible—is an essential prerequisite for any AI application.
• Ensuring High-Quality Data Input: AI heavily depends on the “garbage in, garbage out” principle. Clear procedures dictate the exact, step-by-step actions employees must take to perform their tasks. By following strict procedures for data entry and management, companies ensure their databases are clean, structured, and consistent, which is required for AI to produce high-quality outputs.
• Identifying Opportunities for Automation: Because procedures provide detailed, step-by-step guides for daily activities (such as the specific steps to upload a product online or how to pack an order), they make it easy for managers to identify highly repetitive and time-consuming tasks. Once identified, these specific tasks—such as copying and pasting customer data between systems or sending automated customer service emails—can be easily handed over to AI or automated workflows.
• Clarifying Accountability and Roles (RACI): Integrating AI changes how work is executed, but it does not remove human responsibility. Using a framework like the RACI matrix, policies help establish the boundaries of AI integration. An AI agent can be “consulted” for market trends or be “responsible” for executing a task like drafting a product description or calculating optimized fabric usage. However, clear policies mandate that a human must always remain the accountable party to review the final quality, accept the outcome, and take ultimate responsibility.
• Mitigating Risks and Maintaining Brand Standards: Policies define the overarching rules, “what” a company does, and “why” it does it. They act as preventative measures to manage and mitigate business risks. By establishing strict policies (such as data privacy policies or brand voice guidelines), a company ensures that any AI tool it introduces operates strictly within legal compliances and consistently reflects the brand’s intended image and values

How can business process mapping help a fashion brand grow?

Business process mapping is the activity of clearly defining what a business does, who is responsible for each task, the standards to which processes should be completed, and how success is measured.

For a fashion brand looking to grow, process mapping serves as a powerful foundational tool in several key ways:

• Boosting Operational Efficiency: The primary purpose behind business process mapping is to assist an organization in becoming more effective. By mapping out exact steps—whether for supply chain, operations, or marketing—a fashion brand can analyze its workflows, ask why each step is taken, eliminate unnecessary work, and develop new, more efficient methods.
• Enabling Technological and AI Integration: Process mapping is an essential component for successfully implementing Artificial Intelligence or other digital transformations. If a fashion brand has obsolete or broken processes, simply adding an AI agent or a chatbot on top of them will not yield real growth; it merely applies modern technology to a flawed system. Mapping out processes forces a brand to deeply understand its own domain and identify true pain points before introducing technological solutions.
• Providing Organizational and Role Clarity: As a fashion brand scales, having a transparent and consistent organizational structure is critical. Process mapping supports role clarity (such as clearly defining the RACI matrix discussed earlier) and clarifies the exact workflows across different departments. This ensures that as new employees or external partners are brought on board, everyone understands exactly who is responsible for what.
• Aligning Daily Operations with Strategic Goals: Process mapping takes specific daily objectives and compares them alongside the entire organization’s overarching goals, ensuring that every operational process is strictly aligned with the company’s core values and capabilities.
• Supporting Training and Compliance: Having documented process maps supports the onboarding and training of new hires, while also assisting with internal audits and regulatory compliance.

In short, business process mapping allows a fashion brand to clearly see how its internal engine works, making it significantly easier to optimize performance, integrate new technologies, and scale the business sustainably.

How can process mapping improve decision making?

Process mapping improves decision making by providing a clear, detailed, and objective view of how a business operates, which empowers managers to make highly informed choices. Here is how it enhances the decision-making process:

• Clarifying Roles and Responsibilities: Process mapping explicitly defines what a business entity does and who is responsible for each action. By supporting role clarity frameworks, such as the RACI matrix, it ensures that there is no ambiguity regarding who is responsible for making a decision, who is accountable for the outcome, and who needs to be consulted.
• Aligning Operations with Strategic Goals: It allows decision-makers to take a specific objective and measure it against the entire organization’s broader objectives. This comparison ensures that any decisions regarding process changes are strictly aligned with the company’s overarching values and capabilities.
• Visualizing Decision Points and Inefficiencies: A detailed process map visually breaks down all inputs, activities, decision points, and outputs of a workflow. By breaking processes down vertically and horizontally, decision-makers can understand all the disparate parts of an operation. This makes it easier to systematically analyze and challenge each step (asking why, who, where, when, and how) to decide if they should eliminate unnecessary work, rearrange workflows, or install new methods.
• Reducing the Risk of Incorrect Decisions: When combined with activities like knowledge audits, mapping out how, when, why, and where knowledge is used in business processes helps an organization deeply understand its assets, which directly reduces the likelihood of management making incorrect or uninformed decisions.
• Evaluating External Improvements: Having a clear and detailed business process map allows outside firms or consultants to come in and objectively evaluate the workflow, helping management decide whether external improvements or new technologies can be successfully integrated

What are the similarities and differences in business decision making between humans and AI?

Similarities in Business Decision Making Between Humans and AI

• Ability to Execute and Advise (RACI Roles): Both humans and AI can fill the “Consulted” and “Responsible” roles in a business framework. For example, a manager might consult an AI agent to conduct a SWOT analysis, identify potential investors, or analyze international market trends. Similarly, AI can be “Responsible” for executing specific tasks, such as creating a product description, calculating fabric usage, or drafting a landing page.
• Dependence on High-Quality Data: Both humans and AI rely heavily on the quality of the information they receive. The “garbage in, garbage out” principle applies equally; without clean, structured data and clear processes, neither humans nor AI can produce high-quality outputs or make sound decisions.
• Mechanism of Creativity: When generating ideas, both humans and AI essentially recombine existing elements. While AI aggregates information from a vast database to present plausible options, human creativity is also fundamentally an evolution and recombination of existing knowledge rather than something created entirely out of a vacuum.

Differences in Business Decision Making Between Humans and AI

• Accountability: The most critical difference is that a human must always remain the ultimate “Accountable” party. While an AI can execute a task or recommend a decision, it cannot take the blame or praise for the final outcome. If an AI-generated collection fails or an AI-developed website goes over budget, the human manager or entrepreneur is the one who must answer to investors. The final decision to accept, reject, or modify an AI output is always human.
• Vision, Intent, and Context: Humans possess the overarching business vision and intent. AI lacks independent objectives and must be guided by humans who know exactly what they want to achieve, what problems need solving, and what metrics need to be measured. Without a human defining the strategic goals, AI cannot make meaningful business decisions.
• Scale of Knowledge and Speed: AI possesses a vastly larger explicit knowledge base than any single human and can process it almost instantly. For example, an AI can instantly analyze current fashion trends in both Brazil and Italy, processing in seconds what might take a human researcher weeks to compile.
• Divergent vs. Contextual Execution: AI is exceptionally good at divergent brainstorming—generating “out of the box” or slightly strange variations that can push creative boundaries. However, humans are still considered superior at understanding nuanced brand guidelines and executing creative tasks that strictly fit a brand’s specific context and aesthetic.
• Dynamic Processing vs. Rigid Rules: Unlike traditional human-programmed software (like Excel formulas) which relies on rigid, pre-set layers of rules, modern “agentic AI” makes dynamic decisions. It can operate over unstructured and structured databases, understanding a human’s natural language request to fetch and combine the exact data needed without requiring complex, step-by-step programming

How can AI help fashion companies with task automation?

AI can significantly help fashion companies automate repetitive and time-consuming tasks, improving efficiency across several areas of the business:

• Content Creation and Photography: For e-commerce, AI can generate multiple detailed product photos, 360-degree views, and videos from just one single photograph, which saves companies from paying expensive photography costs for each individual item. AI can also be used to write product descriptions and even help create product designs.
• Customer Service and Marketing: Companies can automate email communications, such as sending welcome messages with discount codes to new newsletter subscribers or sending reminder emails to customers who abandoned products in their shopping carts.
• E-commerce Merchandising: AI and automation workflows can manage visual merchandising on websites, automatically pushing products with the highest available stock to the top of the page to maximize sales.
• Data Entry: Repetitive administrative tasks, such as copying and pasting customer data from an order system into an invoicing system or a marketing CRM, can be fully automated.
• Production and Material Optimization: AI tools like ChatGPT can assist artisans on the workshop floor by doing the complex math required to optimize fabric cutting and material usage. AI can also be used to perform automated quality control on the final output.
• Market Research and Strategy: AI can act as a virtual assistant to instantly analyze international market trends, conduct SWOT (Strengths, Weaknesses, Opportunities, Threats) and competitor analyses, and identify the most profitable communication channels or potential investors.

While AI is a powerful tool for executing these tasks, the sources note that humans must always remain the ultimately accountable party to evaluate the final quality and accept the results

Visual merchandising is a crucial discipline that plays a key role in shaping business and brand image. By focusing on visual merchandising, companies can enhance the consumer experience at one of the main points of contact: the physical store.

Monica Minervini

Author: Monica Minervini
Visual Merchandising Consultant and Trainer
Digital Fashion Academy

Exploring Visual Merchandising for Fashion: Career Opportunities and Training

Visual merchandising is a dynamic and creative field that plays a crucial role in the fashion industry. It is an exciting career path for those with a passion for fashion, design, and retail. If you are considering a career in visual merchandising or looking to enhance your skills, this comprehensive guide will provide you with valuable insights and information about visual merchandising courses, training, and career opportunities.

What is Visual Merchandising for Fashion?

Visual merchandising for fashion involves creating visually appealing displays in retail stores to attract customers and enhance their shopping experience.

It combines art and science to present products in a way that maximizes sales and reflects the brand’s identity.

Visual merchandisers use their creativity to arrange clothing, accessories, and other fashion items in a manner that tells a story and entices shoppers.

Pitti – Florence showroom

Example: use of space

Example: dresses with bright colors

Handbags display

What Does a Visual Merchandiser Do?

A visual merchandiser’s role is multifaceted and involves various responsibilities, including:

• Designing Store Layouts: Creating floor plans and layouts that optimize space and guide customers through the store.
• Creating Window Displays: Designing eye-catching window displays that draw customers into the store.
• Arranging Merchandise: Strategic positioning of products on the wall and on the floor area, positioning of mannequins, creation of a center area and focal point in order to highlight key items and trends. Strategically placing products on shelves, racks, and mannequins to highlight key items and trends.
• Maintaining Store Aesthetics: Ensuring the store’s visual appeal is consistent with the brand’s image.
• Collaborating with Teams: Working closely with store managers, buyers, and marketing teams to implement merchandising strategies.
• Analyzing Sales Data: Using sales reports to understand customer preferences and adjust displays accordingly.

Why Choose a Career in Visual Merchandising?

Visual Merchandising Course

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A career in visual merchandising offers numerous benefits and opportunities:

1. Creativity: Visual merchandising allows you to express your creativity within a structured framework provided by the brands guidelines and focusing on specific business goals.
2. Dynamic Environment: The fashion industry is fast-paced and constantly evolving, providing a stimulating work environment.
3. Impact on Sales: Effective visual merchandising can significantly boost sales and improve the overall customer experience.
4. Career Growth: With the right training and experience, there are ample opportunities for career advancement in this field.

Why Is Training in Visual Merchandising—Not Just Creativity—Essential? (And How an Online Course Can Help)

While a natural flair for design and an eye for detail are essential, professional training in visual merchandising provides several advantages:

• Structured Knowledge: Training programs offer a structured curriculum that covers essential concepts and techniques.
• Industry Insights: Courses often include insights from industry experts, providing a deeper understanding of market trends and consumer behavior.
• Practical Skills: Hands-on training and real-world examples help you develop practical skills that can be directly applied in your job.
• Certifications: A visual merchandising certificate can enhance your resume and help you to develop your career.

What Tools Do Visual Merchandisers Use? Learn to Master Them with an Online Course

Visual merchandisers use a variety of tools to create stunning displays:

• Design Software: Programs like Adobe Illustrator and SketchUp help in creating detailed floor plans and mock-ups.
• Mannequins and Props: Essential to highlight clothing and accessories to increase desirability.
• Signage and Graphics: Used to communicate promotions, brand messages, and product information.
• Sensory branding: music, scents, lights and materials help every professional to recreate the best atmosphere in the store to guarantee the customer a memorable shopping experience and strengthen the brand identity.

What are the KPIs of Visual Merchandising? Learn How to Measure Success with an Online Course

Key Performance Indicators (KPIs) are metrics used to evaluate the effectiveness of visual merchandising efforts:

• Sales Performance: Tracking sales data to assess the impact of visual merchandising activities on revenue.
• Store Traffic: Measuring store footfall following store layout and window changes.
• Inventory Turnover: Analyzing how quickly products are sold and replenished.
• Conversion Rate (CR) of promotional activities: evaluation of the customer response to promotional activities activated in the store.
• Yield per square meter: the ability to generate revenue of each area of ​​the store adequately and strategically set up.

Master the Techniques and Logic of In-Store Visual Merchandising with an Online Course

Effective visual merchandising involves several techniques and principles:

• The Rule of Three: Grouping items in sets of three for a balanced and visually appealing display.
• Color Theory: Using color schemes to create mood and attract attention.
• Themed Displays: Creating cohesive themes that tell a story and resonate with customers.
• Zoning: Dividing the store into different sections to guide customer flow and highlight key areas.

Use of colors and symmetry

Use of symmetry in merchandising

Products display techniques in visual merchandising

Symmetry on walls

Is There a Connection to Digital? Discover How an Online Visual Merchandising Course Bridges the Gap

Yes, visual merchandising extends beyond physical stores to the digital realm:

• E-commerce: apply the principles of visual merchandising to online product lists and virtual shop windows.
• Multimedia catalogs: present to the customer in the store even what is not physically displayed due to a question of space or availability in the warehouse.
• QR codes: convey information about the products displayed in the store.
• Augmented Reality (AR): create interactive and engaging shopping experiences, e.g. magic mirror.
• Instagrammable areas: engage the customer and increase the visibility of the store through sharing on social media.
• Social: spread captivating content that directs traffic to physical and online stores.

Are you looking for a Online Visual Merchandising Course?

Digital Fashion Academy is thrilled to announce the launch of an exciting new partnership with Monica Minervini, a renowned expert boasting over 20 years of experience in visual merchandising for top fashion brands and various other companies.

Monica Minervini’s visual merchandising course, offered in both English and Italian, is designed to cater to a global audience. This comprehensive, on-demand course is available immediately upon purchase, allowing you to start your learning journey at your own pace and convenience. 

In this visual merchandising course you’ll benefit from more than 20 years of experience in visual merchandising for fashion brands and other companies. The visual merchandising classes by Monica Minervini are available on Digital Fashion Academy platform.

Why you may find our Online Visual Merchandising Course interesting

This course stands out for several reasons:

• Experience-Based Learning: The course is designed based on years of industry experience and continuous personal study.
• Comprehensive Content: It includes a blend of theory and practical examples, techniques, original photos, diagrams, and multimedia content.
• Trade Secrets: The course reveals trade secrets and insights that are not commonly shared.
• Passion and Detail: Our passion for visual merchandising and obsession with detail ensure you receive high-quality training.

Overview of Our Visual Merchandising Course

Our video course offers a thorough exploration of visual merchandising, covering topics such as:

• Store Layout Design: Learn how to create effective floor plans and optimize store space.
• Window Display Techniques: Discover the art of designing captivating window displays.
• Product Placement Strategies: Master the techniques of arranging merchandise to maximize sales.
• Brand Consistency: Understand how to maintain a cohesive brand image through visual merchandising.
• Sales Analysis: Gain skills in analyzing sales data to inform your merchandising decisions.

Master the Magic Ingredients of Visual Merchandising—Overview, Obsession for Detail, and Passion—Through an Online Course

Our approach to visual merchandising training is driven by three key elements:

1. Overview: We provide a comprehensive overview of the field, covering all essential aspects and latest trends.
2. Obsession for Detail: Attention to detail is crucial in visual merchandising, and our course emphasizes the importance of precision and thoroughness.
3. Passion: Our passion for visual merchandising is evident in every lesson, inspiring you to pursue your career with enthusiasm and dedication.

Learn Visual Merchandising Through Practical Examples and Multimedia Content in Our Online Course

In our visual merchandising classes you’ll find many of practical examples and multimedia content, including:

• Hundreds of Original Photos: Visual aids to illustrate concepts and techniques.
• Diagrams: Detailed diagrams to explain store layouts and display arrangements.
• Videos: Engaging video content that brings the lessons to life.
• Case Studies: Real-world case studies to provide context and practical application.

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VISUAL MERCHANDISING ONLINE COURSE

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What Will You Learn in Our Visual Merchandising Course?

By enrolling in our visual merchandising course, you will:

• Develop a Strong Foundation: Gain a solid understanding of the principles and techniques of visual merchandising.
• Enhance Your Skills: Improve your design and presentation skills through practical exercises and real-world examples.
• Boost Your Career: Obtain a visual merchandising certificate that will enhance your resume and open up career opportunities.
• Stay Ahead of Trends: Learn about the latest trends and innovations in the fashion industry.

Who Should Enroll in Our Visual Merchandising Course?

Our course is ideal for:

• Junior Professionals: Those starting their career in the fashion retail industry and looking to fast-track their growth.
• Retail Managers: Managers seeking to improve the performance of their stores and enhance their visual merchandising skills.
• Fashion Stores Owners and SME Entrepreneurs: this course will provide you with essential skills and methods to manage your store.
• Fashion Enthusiasts: Individuals with a passion for fashion and design who want to turn their interest into a career.

How to Enroll in Our Visual Merchandising Course

Enrol now on our online course

Enrolling on this course is easy. Click on the Enrol & Start course or Discover the course programme to read the curriculum of the course. The course is available online and you can start learning immediately. You can pay by credit card or PayPal and select installments if you prefer to split the payment.

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Present and future of visual merchandising

In an increasingly competitive world, where purchasing opportunities have multiplied on digital channels, the challenge of retail is to offer the consumer the best engaging, differentiating shop experience in line with the brand’s identity and values.

Visual merchandising has the task of improving the in-store experience by using space design, product layout, product presentation and the creation of an atmosphere that attracts and involves the customer by acting on the emotional sphere.

If you want to improve the performance of your store, you need to have a recognizable and captivating image, learn the psychological and visual processes related to sales and learn how to apply visual merchandising techniques.

Marketing strategies and communication can change, but the basics of visual merchandising are timeless. The fortune of working with clients belonging to different product sectors, from furniture to pharmacy, from design to beauty and obviously clothing, has allowed me to acquire a truly profound ability to adapt and experience.

I’ve included over 500 photos to show you how to put into practice everything you learn. So, whether you are looking for a new career opportunity, want to learn more because you already work in retail, or want to specialize further, even if you already work in the role, this course is the definitive answer to all your doubts. It is the most effective tool to understand exclusively what is really needed to correctly apply the logic of visual merchandising. I hope I have addressed any doubts you may have. See you soon!

About the teacher: Monica Minervini

I am Monica Minervini and I have been involved in visual merchandising, for almost 20 years now.

I worked as an employee for ten years for fashion companies, such as Dolce & Gabbana, Moschino, and Costume Nazionale, managing the image of stores at 360° in the most diverse countries of the world, from Russia to the Middle East, from Northen Europe to Italy.

After that I decided to go freelance. So in the last ten years I have dedicated my time to consulting in the field of visual merchandising, specifically I deal with the design of design solutions but also with shop windows for sales points, shooting of advertising campaigns or even social media and creation of collection visual books, as well as clearly shop fittings.

The remaining of my time is dedicated to training. Whether it is classroom training, asynchronous lessons, webinars or one-to-one, my passion for sharing my knowledge and experiences is an essential part of my profession. I can only make you one promise. In my course you will find only key concepts, solutions and hundreds of examples.

I look forward to seeing you in my classroom!

Watch a interview with Monica Minervini and co-founders of Digital Fashion Academy.

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Interview with Andrea Pertici, CIO at Global Fashion & Luxury Brands

How is AI transforming strategic processes in fashion and luxury?

AI is transforming strategic processes in the fashion and luxury sectors by necessitating a shift from purely technological implementation to a holistic focus on organizational culture, risk management, and data governance. According to industry experts, the integration of AI requires the same level of strategic and organizational vision previously applied to innovations like Blockchain or ERP systems, as technology alone cannot solve business problems and may even create new ones without a clear strategy.

The transformation of strategic processes is evident in the following key areas:

• Risk Assessment and Governance: With the introduction of regulations such as the European AI Act, companies must now evaluate all AI investments and implementations based on the level of risk they introduce to the organisation. Strategies must account for four levels of risk, ranging from “unacceptable” (which must be avoided) to “minimal” risk. Furthermore, leadership must manage “Shadow AI”—the phenomenon where generative AI interfaces allow any employee to introduce digital tools independently, bypassing standard vetting processes and creating potential security risks.
• Economic and Financial Planning: AI implementation is fundamentally altering cost structures; it is typically an operating cost (OpEx) that directly impacts a company’s profit margins. Unlike previous IT evolutions, the introduction of AI does not necessarily reduce traditional IT costs, and recovering these expenses through efficiency gains, sales increases, or personnel reduction is currently difficult in the fashion sector. Consequently, rigorous business plans are essential, as current data suggests the success rate for AI applied to the value chain is only around 5%,.
• Data Consolidation as a Foundation: A successful AI strategy relies heavily on an organisation’s capacity to consolidate and valorise its own data. The foundation of any AI initiative must be integrated processes and data; without this, companies risk “vendor lock-in,” where they lose control over data and competencies to external services, retaining control only over payment processing.
• Process Optimisation vs. Sub-optimisation: Strategic planning must ensure that applying AI to specific use cases, such as value chain transformation, does not sub-optimise other areas,. Decision-makers must evaluate whether to develop, assemble, or buy services while ensuring that optimising one process does not simply shift costs to another part of the organisation.

Ultimately, the successful transformation of strategic processes depends less on the technology itself and more on the culture and identity of the company, ensuring that AI adoption is driven by a clear understanding of business needs rather than spontaneous adoption.

What are the primary risks of adopting AI in organisations?

The primary risks of adopting AI in organisations can be categorised into regulatory, security, financial, and strategic challenges:

Regulatory and Compliance Risks With the introduction of the AI Act in Europe, companies face strict compliance obligations based on four levels of risk, ranging from “minimal” to “unacceptable”. Organisations must carefully evaluate investments to ensure they avoid “unacceptable” risks, such as unauthorised facial recognition or social engineering, which are prohibited.

Security and Governance Risks (“Shadow AI”) A significant risk is the emergence of “Shadow AI”, a phenomenon where the ease of access to generative AI (conversational interfaces) allows any employee to introduce digital tools independently. This bypasses standard vetting processes, meaning individuals can subscribe to and use instruments that may introduce security vulnerabilities or data leaks without the organisation’s oversight.

Financial and Economic Risks The financial implications of AI adoption pose serious risks to profitability:

• Impact on Margins: AI is typically an operating cost (OpEx), which directly affects profit margins.

• Additive Costs: Unlike previous technological shifts, AI does not necessarily reduce traditional IT costs; instead, it tends to be an additive expense. While revenues for AI vendors are projected to grow significantly, this implies increased costs for client companies.

• Low Success Rates: Returns on investment are not guaranteed. When applied to complex processes like the value chain (rather than simple personal productivity), the success rate is estimated to be as low as 5%,.

• Difficulty in Cost Recovery: Recovering these costs through personnel reduction, efficiency gains, or sales increases is currently difficult within the fashion and luxury sectors.

Strategic and Operational Risks

• Vendor Lock-in: There is a major risk of entering a state of “lock-in”, where an organisation relies so heavily on external services that it loses control over its own data and internal competencies. In this scenario, the company effectively retains control only over paying the invoices, while the core intelligence resides externally.

• Process Sub-optimisation: Without a holistic view, there is a risk of optimizing one specific process while inadvertently sub-optimising others, simply shifting costs or inefficiencies to a different part of the organisation rather than eliminating them.

• Lack of Strategic Vision: Adopting AI spontaneously without a clear organisational and cultural strategy can create more problems than it solves in the short term

Why is the success rate for business AI implementation currently low?

he success rate for AI implementation in business processes—specifically regarding the transformation of the value chain—is estimated to be as low as 5%. This low success rate is attributed to several structural, financial, and organisational factors:

• Complexity of Value Chain Integration: While “embedded” AI tools for personal productivity (e.g., in browsers or office suites) are easily adopted, applying AI to complex corporate processes and the value chain is far more difficult. This type of implementation requires deep integration rather than simple adoption.

• Additive Costs and ROI Challenges: Unlike previous technological shifts, introducing AI does not necessarily reduce traditional IT costs; instead, it often acts as an additive Operating Cost (OpEx) that directly impacts profit margins. Recovering these costs—whether through personnel reduction, efficiency gains, or increased sales—is currently proving difficult in the fashion and luxury sectors.

• Data and Process Maturity: Success depends heavily on an organisation’s existing culture and its ability to consolidate and valorise its own data. Without a solid foundation of integrated data and processes, companies cannot effectively deploy AI and risk “vendor lock-in,” where they rely entirely on external services and lose control over their internal competencies and assets.

• Risk of Sub-optimisation: There is a strategic risk that optimising one specific process via AI may inadvertently sub-optimise other areas, simply shifting costs or inefficiencies to different parts of the organisation rather than eliminating them.

• Hidden Implementation Costs: The cost of AI is never limited to the service fee alone; it involves a significant learning curve, as well as costs related to training, infrastructure, and networking

What does ‘Shadow AI’ mean for fashion industry security?

“Shadow AI” in the context of the fashion industry refers to the phenomenon where employees independently subscribe to and introduce AI tools into the company without official oversight or IT vetting.

According to Andrea Pertici, a CIO for global fashion brands, this presents specific security implications:

• Bypassing Safety Governance: The primary risk is that these tools bypass the rigorous risk assessments now required by regulations like the European AI Act. Companies are legally obliged to evaluate AI implementations against four levels of risk (from “minimal” to “unacceptable,” such as unauthorised facial recognition or social engineering), but Shadow AI prevents this evaluation from happening.

• Zero-Barrier Access: Unlike previous complex technologies, the “conversational interface” of generative AI has removed all technical barriers. Any employee who can type or speak can now introduce digital instruments that may contain security vulnerabilities, effectively creating a hidden layer of technology that the organisation cannot control or secure.

• Evolution of Shadow IT: It is described as the modern evolution of “Shadow IT,” where the ease of access to powerful tools increases the likelihood of data leaks or compliance violations because the central organisation is unaware the technology is even being used

How can brands avoid ‘vendor lock-in’ while using AI?

To avoid “vendor lock-in,” brands must ensure they do not reach a state where data, services, and competencies reside entirely externally, leaving the company with control over nothing but the payment of invoices.

According to the sources, the primary strategy to prevent this involves establishing a strong internal foundation rather than simply purchasing solutions. This includes:

• Consolidating and Valorising Internal Data: The crucial starting point is the organisation’s capacity to consolidate its own data. A company must have integrated processes and data as a “foundation”. Without this internal backbone, the company becomes overly reliant on the vendor’s infrastructure to manage its core assets.

• Strategic Sourcing Decisions: Once that data foundation is established, the company is better positioned to make informed strategic decisions about whether to “develop, assemble, or buy” specific services on a case-by-case basis,. This allows the brand to integrate external AI where efficient without handing over total control of the value chain.

• Retaining Internal Competencies: The risk of lock-in is explicitly linked to the externalisation of competencies. Therefore, brands must ensure that while they may use external tools, the strategic understanding and management of these processes remain within the company to avoid dependency.

How can fashion brands prevent employees from using Shadow AI?

Preventing “Shadow AI” is not presented as a simple technical block, but rather as a challenge requiring a shift in organisational strategy, culture, and governance.

Fashion brands can address and mitigate the use of Shadow AI through the following strategic measures:

• Implementing Formal Risk Assessment (AI Act): Companies must replace spontaneous adoption with a formal evaluation process. Under regulations like the AI Act, organisations are obligated to evaluate all AI implementations based on four levels of risk, ranging from “minimal” to “unacceptable” (such as unauthorised facial recognition or social engineering). By enforcing this vetting process, brands ensure that no digital tool enters the company ecosystem without passing through this governance filter.

• Shifting from Spontaneous to Strategic Adoption: The primary driver of Shadow AI is “spontaneous adoption” by employees. To prevent this, leadership must impose a “strategic, organisational, and cultural vision” similar to past implementations of PLM or ERP systems. The organisation must actively define how AI solves business problems so that employees do not feel the need to independently seek outside tools.

• Centralising Data and Competencies: A key preventive measure is ensuring the organisation creates a strong internal foundation. By focusing on the “culture and capacity… to consolidate and valorise its own data”, the company provides a legitimate, integrated infrastructure. If the company provides integrated processes and data, it reduces the incentive for employees to use external “Shadow” tools that might lead to “vendor lock-in” or data loss.

Why prevention is difficult: The sources note that preventing Shadow AI is particularly challenging because Generative AI (specifically the conversational interface) has “completely broken down any barrier to usage”. Unlike complex legacy systems, anyone who can type or speak can now independently subscribe to and introduce these tools, bypassing traditional IT hurdles. Therefore, the solution is less about technical barriers and more about corporate culture and adherence to the new regulatory frameworks

The definitive regulatory guide for fashion, luxury, retail and eCommerce professionals

Which European regulations are the most relevant in the fashion sector?

he EU fashion sector is highly regulated. The most relevant regulations include:

1. REACH Regulation – governs chemicals and materials used in textiles, leather, footwear and accessories. Brands are responsible for compliance even if production happens outside the EU.
2. Textile Labelling Regulation (EU 1007/2011) – defines mandatory fibre composition rules, applicable both offline and online.
3. General Product Safety Regulation (EU 2023/988) – strengthens product safety requirements, recalls and risk assessments.
4. Ecodesign & ESPR – introduces sustainability-by-design principles and the Digital Product Passport.
5. Green Claims Directive (upcoming) – restricts vague or misleading sustainability claims.
6. Supply Chain Due Diligence (CSDDD) – extends environmental and social responsibility across the supply chain.
7. GDPR – regulates personal data, CRM, marketing and eCommerce activities.
8. VAT & cross-border eCommerce rules – essential for selling across the EU.

The key areas for fashion today are materials, transparency, sustainability, product safety, supply-chain responsibility and data protection.

Why EU regulations are reshaping the fashion industry

Over the last decade, the European Union has progressively transformed fashion regulation from a fragmented compliance framework into a systemic governance model. Today, sustainability, transparency, digital responsibility, consumer protection and social accountability are legally enforced pillars of how fashion businesses must operate.

EU regulation no longer impacts only legal departments. It directly affects:

• product design and material choices
• sourcing and supplier selection
• sustainability strategy and ESG reporting
• marketing, communication and pricing
• digital platforms, data, AI and automation
• organisational processes and governance

For fashion brands and retailers, understanding this regulatory ecosystem is now a competitive advantage. This article is designed as a pillar content: a comprehensive, structured reference for professionals who need to navigate EU regulation with clarity and strategic awareness.

1. REACH Regulation – Chemicals, materials and product safety

REACH (EC No. 1907/2006) is the cornerstone of chemical regulation in the EU and one of the most critical frameworks for the fashion industry.

Scope and relevance for fashion

REACH applies to:

• textiles and yarns
• leather and tanning processes
• dyes, pigments and finishing treatments
• accessories, footwear and components

It restricts or bans the use of hazardous substances such as:

• azo dyes
• formaldehyde
• heavy metals
• PFAS and other persistent chemicals

Strategic implications

• Brands must ensure full chemical compliance across the supply chain
• Traceability and documentation are essential
• Compliance responsibility lies with the company placing the product on the EU market, regardless of production location

REACH directly connects product development, sourcing and sustainability credibility.

2. Textile Labelling Regulation – Transparency at product level

Regulation (EU) 1007/2011 governs textile fibre labelling and composition disclosure.

Key obligations

• Use of official EU fibre denominations only
• Accurate fibre composition percentages
• Mandatory information in the language of the country of sale

Digital impact

This regulation applies not only to physical labels but also to:

• product pages on eCommerce websites
• marketplaces
• digital catalogues

Incorrect or misleading fibre information is considered a consumer law violation, not a minor technical error.

3. General Product Safety Regulation (GPSR)

The General Product Safety Regulation (EU) 2023/988, fully applicable from 2024, strengthens horizontal product safety rules across all consumer goods.

What changes for fashion companies

• Mandatory risk assessments
• Clear procedures for recalls and corrective actions
• Enhanced traceability obligations
• Stronger enforcement and penalties

This regulation is particularly relevant for:

• childrenswear
• jewellery and accessories
• footwear
• products with mechanical or chemical risks

Product safety is now closely linked to brand liability and reputation.

4. Ecodesign & ESPR – Sustainability embedded in product design

The Ecodesign for Sustainable Products Regulation (ESPR) represents a paradigm shift: sustainability becomes a design requirement, not a marketing claim.

Core principles

• durability and longevity
• repairability
• recyclability
• reduced environmental impact

Digital Product Passport (DPP)

One of the most disruptive elements of ESPR is the Digital Product Passport, which will contain structured, machine-readable product data, including:

• material composition
• origin and supply chain information
• environmental performance indicators
• instructions for repair, reuse and recycling

Fashion impact

ESPR affects:

• product development and sourcing
• IT architecture (PIM, ERP, PLM)
• eCommerce content
• sustainability communication

This regulation connects physical products with digital infrastructure.

5. Green Claims Directive – Regulating sustainability communication

The upcoming Green Claims Directive directly targets misleading environmental communication.

What will be prohibited

• vague or generic claims such as “eco-friendly”, “green” or “sustainable”
• claims not supported by scientific evidence
• self-created sustainability labels without certification
• selective or partial environmental messaging

Environmental claims will require:

• robust data
• recognised methodologies
• third-party verification

For fashion brands, this fundamentally changes how sustainability storytelling is built.

6. Omnibus Directive – Fair marketing and pricing practices

The so-called Omnibus Directive strengthens EU consumer protection by updating the Unfair Commercial Practices Directive and the Consumer Rights Directive.

What does the Omnibus Directive say about price transparency.

The Omnibus framework is package of EU amendments strengthening consumer protection rules. In fashion, it is especially relevant for:

• Discounts and pricing: reference prices must be the lowest price applied in the previous 30 days.
• Greenwashing: sustainability claims must be accurate, verifiable and not misleading.

The Omnibus rules strongly impact marketing, promotions, eCommerce UX and pricing strategies, and are closely linked to the upcoming Green Claims Directive.

Sustainability and greenwashing

Environmental and ethical claims must be:

• accurate
• verifiable
• presented without misleading emphasis

Pricing and discounts

Fashion retailers must:

• use the lowest price applied in the previous 30 days as reference for discounts
• avoid fake or permanent promotions

This regulation has a direct operational impact on:

• promotions
• seasonal sales
• Black Friday strategies
• outlet and flash-sale models

7. CSRD – Sustainability reporting becomes mandatory

The Corporate Sustainability Reporting Directive (CSRD) introduces mandatory ESG reporting based on European Sustainability Reporting Standards (ESRS).

Key elements

• environmental, social and governance disclosures
• double materiality analysis
• audited sustainability data

Cascading effect

Even companies not directly subject to CSRD are impacted through:

• supplier questionnaires
• data requests
• contractual sustainability clauses

CSRD transforms sustainability into a structured management discipline.

8. CSDDD – Due diligence across the supply chain

The Corporate Sustainability Due Diligence Directive (CSDDD) extends corporate responsibility to the entire value chain.

Obligations include

• identifying environmental and human-rights risks
• preventing and mitigating adverse impacts
• monitoring effectiveness
• documenting due diligence processes

For fashion brands, this includes labour conditions, environmental impacts and sourcing transparency.

9. Waste regulation, EPR and circular economy

EU waste legislation increasingly applies Extended Producer Responsibility (EPR) principles.

What it means for fashion

• brands are responsible for the end-of-life of products and packaging
• textile-specific EPR schemes are being introduced
• increased operational costs and reporting requirements

Circularity is evolving from voluntary initiatives to regulated obligations.

10. GDPR & Cookie Law – Data governance in fashion

For fashion eCommerce, cookie compliance is critical because it affects tracking, advertising, CRM, retargeting and marketing automation. Dark patterns or forced consent may also violate consumer protection rules reinforced by the Omnibus Directive.

Fashion is a data-driven industry. Key regulations include:

• GDPR for personal data protection
• ePrivacy Directive / Cookie Law for tracking and consent

Key compliance challenges

• consent management
• profiling and personalisation
• CRM and marketing automation
• advertising and analytics

Non-compliance affects both legal exposure and marketing effectiveness.

11. EU AI Act – Governing artificial intelligence

The EU AI Act introduces a risk-based regulatory framework for artificial intelligence. Most fashion use cases fall under limited-risk systems, including chatbots, recommendation engines, AI-generated content and dynamic pricing.

Key obligations include transparency, human oversight and bias prevention. The AI Act intersects with GDPR and consumer protection law, making governance essential for fashion brands using AI in marketing, CRM and eCommerce.

Fashion-relevant use cases

• chatbots and virtual assistants
• recommendation engines
• AI-generated content and imagery
• dynamic pricing systems

Core principles

• transparency when interacting with AI
• human oversight
• bias and discrimination prevention

AI adoption must be governed, documented and explainable.

12. Pay Transparency Directive – The future of recruitment

This refers to the EU Pay Transparency Directive (EU 2023/970). Member States must transpose it by June 2026.

It requires candidates to receive information about salary or salary ranges before interviews and prohibits employers from asking about salary history. Whether salaries must appear directly in job ads depends on national implementation.

Key provisions

• candidates must be informed of salary or salary range before interviews
• employers cannot ask for salary history
• reporting obligations on gender pay gaps

Member States must transpose the directive by June 2026.

And in terms of sustainability, what does European regulation provide for?

EU sustainability regulation is built around the European Green Deal and includes:

• CSRD for ESG reporting
• CSDDD for supply-chain due diligence
• ESPR and Digital Product Passport
• Green Claims Directive
• REACH and chemical safety
• EPR and waste regulation

Sustainability is now regulated, measurable and enforceable, affecting design, IT systems, marketing and supply chains.

Final takeaway: regulation as a strategic capability

EU regulation defines the operating system of the modern fashion industry.

To remain competitive, fashion companies must:

• integrate compliance into design and sourcing
• align sustainability with data and governance
• redesign marketing and pricing strategies
• adapt digital platforms and IT architecture

In the European fashion ecosystem, regulation is no longer a constraint — it is a strategic capability.

📘 Core Legal & Legislative Resources

• EUR-Lex – official database of EU law (regulations, directives, consolidated texts)
  👉 https://eur-lex.europa.eu/
• EUR-Lex Directory of EU legislation (browse by subject)
  👉 https://eur-lex.europa.eu/browse/directories/legislation.html
• Official Journal of the European Union (where binding acts are published)
  👉 https://eur-lex.europa.eu/oj/direct-access.html

📜 Specific Regulations & Policy Pages

• REACH Regulation (Reg. EC No. 1907/2006) – official text on EUR-Lex
  👉 https://eur-lex.europa.eu/eli/reg/2006/1907/oj/eng
• EU Textile Labelling Regulation (Reg. EU 1007/2011) – European Commission page
  👉 https://single-market-economy.ec.europa.eu/sectors/textiles-ecosystem/regulation-eu-10072011_en
• Ecodesign for Sustainable Products Regulation (ESPR) – European Commission overview
  👉 https://commission.europa.eu/energy-climate-change-environment/standards-tools-and-labels/products-labelling-rules-and-requirements/ecodesign-sustainable-products-regulation_en

📊 Sustainability & Corporate Responsibility

• Corporate Sustainability Reporting Directive (CSRD) – European Commission info page
  👉 https://finance.ec.europa.eu/capital-markets-union-and-financial-markets/company-reporting-and-auditing/company-reporting/corporate-sustainability-reporting_en
• EU corporate sustainability & due diligence policies (overview)
  👉 https://www.consilium.europa.eu/en/policies/corporate-sustainability/

📍 Useful Institutional Portals

• Europa – the official portal of the European Union (general EU info & links)
  👉 https://europa.eu/

🧠 How to find any specific regulation text

For any specific directive or regulation by name or number (e.g., GDPR, AI Act, Omnibus-related acts), use:

👉 EUR-Lex Advanced Search — https://eur-lex.europa.eu/advanced-search-form.html

This lets you look up the consolidated text, amendments, and official languages of the legal act you need.

Digital Fashion Academy supports fashion professionals and companies in navigating digital transformation, eCommerce, sustainability and regulatory change.

Enrico Roselli – Co-founder Digital Fashion Academy. Former CEO of La Martina

Gianluigi Zarantonello – Former Innovation Manager at Valentino

Enrico Fantaguzzi – Co-founder Digital Fashion Academy. Former Manager at Gucci, Tod’s, Yoox

How is AI changing fashion retail?

To create a seamless shopping experience, AI must facilitate a frictionless journey where the customer can move between e-commerce, physical stores, and mobile platforms without being conscious of the channel they are using.

The goal is to make the technology “invisible,” operating in the background to enable users to do whatever comes to mind without technical barriers,.

How can AI help to create a seamless customer experience in Retail

Unified Customer Identity and Recognition

A major hurdle to seamless shopping is the disconnection between online and offline Customer Identities. A customer might be recognised in their local shop but treated as a complete stranger online, or vice versa. AI can bridge this gap by analysing cross-channel data. For instance, AI can leverage a customer’s online browsing history, where they may spend time without buying, to enhance their experience and opportunities when they eventually enter a physical retail store,. This requires building technical capabilities to recognise the customer at various touchpoints, creating a holistic view of their journey.

Hyper-Personalisation via Generative AI

AI is moving personalisation beyond traditional customer segmentation. Previously, retailers might identify a segment but still show the same content to everyone within it due to production limitations. Through generative AI, retailers can now unlock data to produce unique content tailored to specific individuals based on their interactions and intent. This allows for a highly personalised experience that still adheres to the brand’s overall creative vision,.

Frictionless Payments and Loyalty

AI enhances the final stage of shopping, the transaction, by integrating advanced payment systems. Machine learning algorithms contribute to a seamless experience by:

• Scoring transaction reliability to instantly approve valid purchases, thereby improving e-commerce conversion rates.
• Utilising tokenisation and blockchain to create safe connections that integrate directly with loyalty programmes, managing client information securely to further customise the experience.

Agentic AI for Natural Interaction

The emergence of “Agentic AI” changes how users interact with complex software. Rather than forcing customers or employees to navigate rigid interfaces and rules, Agentic AI allows them to use natural language to ask for exactly what they need,. This shifts the paradigm from the user adapting to the software to the software adapting to the user, making the interaction intuitive and removing the complexity of the underlying technology,.

Empowering Physical Retail

Since a significant majority of transactions (around 80%) still occur in brick-and-mortar stores, AI is crucial for enhancing the physical environment. This includes using data to improve store efficiency and potentially integrating robotics for deeper interactions, ensuring the physical space is as responsive and data-informed as the digital one.

How can generative AI produce unique content without losing brand vision?

Generative AI allows companies to produce unique content at scale by unlocking data and production capabilities that were previously limited. Historically, even when retailers identified specific customer segments or “personas,” they were forced to show the same content to everyone within that group due to the difficulty of producing numerous variations. Generative AI solves this by using customer data to create individualised content dynamically.

To ensure this unique content does not compromise the brand vision, the process relies on the following principles:

• Adherence to Core Creativity: The brand vision remains firmly in the hands of the creative director and the company. The content produced by AI serves as variants of this central vision rather than independent creations, ensuring that the foundational aesthetic and message provided to the customer remain consistent.
• Strict Guidelines: Businesses can “teach” the AI to provide outputs that adhere strictly to the exact guidelines of the brand, ensuring that automated content stays within the established identity.
• Human-Centric Finalisation: While AI is excellent for brainstorming and providing “divergent,” out-of-the-box ideas to spark inspiration, human creatives are still considered “much better than AI” at creating the final, polished output. The AI acts as a tool to expand possibilities, not a replacement for the creative mind that defines the brand.

This approach allows brands to move beyond generic segmentation to true personalisation without the fear that the technology will distort the brand image.

How can AI identify customers across online and physical stores?

AI identifies customers across online and physical stores by integrating specific “technicalities” into the customer journey that link data points, rather than relying on “magic” or passive observation.

According to the sources, AI achieves this cross-channel identification through the following methods:

Payment and Loyalty Integration
One of the most effective ways to identify customers is through advanced payment solutions. By applying AI to payments, retailers can use tokenisation and blockchain to create safe, secure connections that link transactions directly to loyalty programmes. This allows the system to instantly recognise the client via their payment method, unlocking their history and preferences to customise the experience without requiring complex manual logins.

Leveraging Digital Intent in Physical Spaces
AI bridges the gap between the two worlds by analysing a customer’s online browsing history to enhance their in-store experience. For example, in the luxury sector, e-commerce conversion rates can be as low as 1%, meaning 99% of visitors are merely browsing. AI can capture this “intent to buy” or interest shown online and make it accessible to store staff when the customer eventually visits a physical location, transforming a “stranger” into a known prospect with specific preferences.

Designing Identification Touchpoints
The sources emphasise that technology alone cannot identify people without a strategy. Retailers must engineer specific “moments in the journey” where the customer is prompted to reveal their identity. Whether through a mobile app interaction, a loyalty scan, or a tokenised payment, these intentional touchpoints provide the data AI needs to connect the online user with the physical shopper.

What are the hidden costs of implementing AI in fashion?

While the surface narrative of AI often suggests a “plug and play” solution, there are several hidden costs and challenges associated with its implementation in the fashion industry.

Unpredictable Financial Costs A significant hidden cost lies in the pricing models of corporate AI tools. While individuals may be accustomed to free versions of tools like ChatGPT, corporate environments face costs based on consumption. This variable pricing makes financial planning highly volatile; while CFOs and boards may request three-year forecasts, it can be difficult for technical leaders to predict consumption costs even one week ahead. Without proper knowledge and management, companies risk wasting money rather than investing it effectively.

Organizational and Cultural Reinvention Implementing AI is not merely a technical update but requires a complete “reinvention of the organization”. The costs involve:

• Cultural Shift: There is a need for a deep change in mindset and culture to adopt these new instruments, as they cannot simply be used from scratch without preparation.
• Education and Literacy: Companies must invest in educating their workforce. There is a risk that without “literacy” (understanding) and “fluency” (ability to use), employees will struggle to adopt the technology.
• Underutilization: A historical hidden cost of technology is that companies often pay for tools with huge potential but only utilize 20% to 25% of their capabilities because they are too complex for staff to use effectively.

Data and Process Preparation Before AI can be effective, significant resources must be spent on the “boring” background work.

• Data Quality: AI operates on the rule of “garbage in, garbage out.” High-quality output requires high-quality structured and unstructured data, necessitating substantial work to clean and organize existing databases.
• Process Mapping: Companies must invest time in mapping their actual processes to understand what they want to achieve, rather than applying AI to obsolete workflows which would result in little more than a faster version of a broken process.

What strategies help manage the consumption-based costs of corporate AI?

To manage the unpredictable consumption-based costs of corporate AI, businesses must shift from a fixed-budget mindset to a value-driven strategy rooted in education and process efficiency. Unlike consumer tools like the free version of ChatGPT, corporate AI vendors typically charge based on consumption, making financial forecasting difficult for CFOs and boards.

Based on the sources, the following strategies help manage these costs:

Invest in “Literacy” and Preparation
The most critical cost-management strategy is education. Leaders must possess “literacy” (understanding) and “fluency” (ability to use) regarding AI technologies. Without deep knowledge, it is impossible to determine whether the organisation is “wasting money or investing money”. Thorough preparation allows companies to unlock actual value, whereas jumping in unprepared leads to financial loss and reduced competitiveness.

Optimise Processes Before Automation
Implementing AI requires a “reinvention of the organization” rather than a simple software installation. A major hidden cost arises from applying AI to obsolete processes; this merely results in a faster version of a broken workflow without generating real value. To control costs, companies must perform rigorous process mapping to ensure the AI is solving a valid problem efficiently.

Focus on Efficiency and Sustainability
Strategies should aim for maximum efficiency across the value chain, from sourcing to logistics and marketing. This approach aligns cost management with sustainability: by using technology to identify and eliminate waste (whether materials or energy), companies can simultaneously reduce costs and meet environmental goals.

Avoid “FOMO” Driven Adoption
Entrepreneurs are advised to be “bold but not a fool.” Rushing to adopt AI due to the “fear of missing out” (FOMO) often leads to wasteful spending on tools that are not fully understood or utilized. Taking the time to understand the specific value proposition for the business ensures that the consumption costs incurred actually drive return on investment.

How can AI identify waste and improve sustainability in fashion?

Based on the sources, AI identifies waste and improves sustainability in the fashion industry by reframing the concept of sustainability from a regulatory “burden” to an exercise in maximum efficiency.

Here is how AI achieves this across the value chain:

Redefining Waste as Inefficiency
AI helps retailers understand that waste—whether it is energy, materials, or products—is simply something that has not been utilised effectively. Instead of viewing sustainability solely as compliance with regulations, AI allows companies to view it as the elimination of inefficiency. If a resource is “put apart because it’s not useful to anyone else,” it represents a financial loss as well as an environmental one.

Granular Visibility and Root Cause Analysis
To improve sustainability, AI acts as a diagnostic tool that illuminates the “road ahead”. It provides access to data across the entire value chain—from sourcing and logistics to sales and distribution. By analysing this data, AI can:

• Pinpoint Origins: Identify exactly where waste is coming from in the production or supply process.
• Analyse Consumption: Monitor and reduce the usage of materials and energy.
• Forecast Accuracy: Help forecast the future to prevent overproduction, ensuring that what is produced is actually needed.

Maximizing Asset Utility
Once waste or potential waste is identified, AI helps determine how to maximise the value of every item produced. If a product fails in its primary channel, AI can calculate the best alternative path, such as:

• Selling the item in a different market.
• Repurposing it for a different use.
• putting it back into circulation rather than discarding it.

Aligning Profit with Planet
The sources highlight that cost reduction and sustainability are now intrinsically linked. With the costs of doing business in fashion (sourcing, advertising, logistics) skyrocketing, AI drives the efficiency needed to lower expenses. This creates a scenario where the “perfect company in terms of efficiency” is also a sustainable one, fulfilling both business objectives and legal requirements (such as those in the European Union) simultaneously.

Key takeaways from NRF 2026

Based on the discussion regarding the NRF (National Retail Federation) and the state of digital transformation leading up to 2026, the key takeaways focus on moving beyond the “hype” of AI to practical, structural, and “invisible” implementations. The sources suggest that by 2026, the industry focus will shift from simply adopting new tools to a fundamental reinvention of the organisation and the customer journey.

Here are the central themes discussed in the context of NRF 2026 and Fashion AI:

1. From Omnichannel to “Seamless” and “Invisible” Experiences The speakers argue that the industry is moving past the concept of “omnichannel,” which can feel disjointed, toward “seamless” experiences. In this model, the customer moves between e-commerce, physical stores, and mobile apps without consciously thinking about the channel.

• Invisible Technology: A major takeaway is that technology should be “invisible,” operating in the background to enable the user’s desires rather than being the focus itself.
• Unified Identity: A critical component of this seamlessness is using AI to bridge the online-offline gap. For instance, using payment tokenisation and blockchain to recognise a customer in a physical store and instantly access their online browsing history and preferences.

2. The Rise of Agentic AI “Agentic AI” is identified as a dominant trend at NRF, though the sources caution that much of it is currently marketing noise.

• Paradigm Shift: True Agentic AI shifts the paradigm from users adapting to software rules to software adapting to users. Instead of navigating complex interfaces, users (both employees and customers) can use natural language to command the software to perform complex tasks, such as creating a landing page by fetching data from disparate databases.
• Current State: While promising, the sources note that the industry is still “far away from actually adopting the real Agentic AI potential,” as it requires robust data structures that many companies currently lack.

3. The End of “Plug and Play” A recurring theme is the demystification of AI as a simple add-on. The sources emphasise that AI is “not plug and play”.

• Organisational Reinvention: Successful implementation requires a complete reinvention of the organisation, including culture shifts and extensive employee education.
• AI Literacy vs. Fluency: There is a distinction made between “literacy” (understanding the concepts) and “fluency” (the ability to use the tools). Leaders must possess both to avoid wasting money on technologies they do not understand.
• Process Mapping: Before applying AI, companies must map and optimise their processes. Applying AI to an obsolete process merely results in a faster version of a broken workflow.

4. Hyper-Personalisation via Generative AI The sources highlight that Generative AI is finally unlocking the true potential of personalisation, which was previously limited by production capacity.

• Scaling Content: Retailers can now use GenAI to produce unique content variants for specific individuals based on their data, solving the problem of having customer segments but only one piece of content to show them.
• Brand Integrity: This can be achieved without compromising the brand vision. The creative director sets the core vision, and AI generates variants that strictly adhere to these guidelines, ensuring consistency while increasing relevance.

5. Sustainability as Efficiency In the context of 2026, sustainability is reframed not as a regulatory burden but as an exercise in maximum efficiency.

• Waste Reduction: AI provides visibility across the value chain (sourcing, logistics, sales), allowing companies to identify “waste” as simply “inefficiency”—resources that are not being used effectively.
• Profit Alignment: By using AI to forecast accurately and maximise asset utility, companies can simultaneously reduce costs and meet environmental standards, such as those in the European Union.

6. The Financial Reality of AI Finally, a practical takeaway for the roadmap to 2026 is the shift in cost structures. Unlike consumer tools, corporate AI often operates on consumption-based pricing.

• Budget Volatility: This makes financial forecasting difficult for CFOs, as costs fluctuate with usage. The sources warn that without proper knowledge (“literacy”), companies risk “wasting money” rather than investing it, making education essential for financial control.

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• Customer journey and conversion optimization
• Analytics, dashboards and KPIs

Course highlights

• Approx. 58 hours of content
• Industry certification
• Practical projects and quizzes
• One-to-one mentoring sessions

View Course Details

Ecommerce & Digital Marketing: A to Z training on Digital Business

€ 2’150

2. Fashion Ecommerce Management

Develop the skills required to manage and scale a fashion ecommerce business end-to-end.

You will learn

• Ecommerce business models and value chain
• Merchandising, pricing and promotions
• Logistics, payments and operations
• Ecommerce KPIs and performance management

Course highlights

• Flexible self-paced learning
• Industry certification
• Strong focus on strategy and management

View Course Details

Fashion eCommerce Course & Certification

€ 1’750

Learn how to manage a successful fashion e-commerce business with a focus on sustainable growth. Develop hands-on experience with essential tools, workflows, and KPIs trusted by leading professionals and luxury brands. This comprehensive course covers the e-commerce value chain from strategic planning to day-to-day store operations, with clear learning goals, practical tools, case studies, exercises, quizzes, and workshops to apply what you learn. Update your skills, accelerate your career, and learn flexibly online while earning a globally recognised certification.

3. Ecommerce Merchandising for Fashion

Master online merchandising techniques to increase conversion, sell-through and profitability.

You will learn

• Digital merchandising strategies
• Category structure and product hierarchy
• Pricing, promotions and markdowns
• Data-driven merchandising decisions

View Course Details

eCommerce Merchandising

€ 75

Learn the principles, tools, and strategies of luxury eCommerce merchandising.
On-demand: start immediately
Class 1.5 hours
Teacher: Matteo Trombetta, Head of E-Merchandising at Loewe

4. Ecommerce Fashion Photography

Learn how to create high-performing product images that improve conversion and brand perception.

You will learn

• Ecommerce photography standards for fashion
• Styling for product and editorial shoots
• Image optimization for ecommerce platforms
• Workflow between creative and ecommerce teams

View Course Details

Ecommerce Fashion Photography

€ 75

Learn how to create high-impact ecommerce photography that elevates your fashion brand and drives conversions. Discover the best practices of leading fashion and luxury brands for ecommerce photography: photo studio set-up, talent management, types of shots, styling and workflow optimisation. Boost your online sales or accelerate your career with this ecommerce fashion photography course.

5. Fashion Buying for Ecommerce

Understand how buying strategies change in an ecommerce-driven fashion business.

You will learn

• Ecommerce buying strategies
• Budget planning and assortment building
• Demand forecasting and stock optimization
• Collaboration between buying and merchandising

View Course Details

Ecommerce Buying

€ 75

Learn the fundamentals of fashion buying for e-commerce. Gain an overview of tools and metrics used by Ecommerce buyers. Learn buying techniques, best practices and essential skills in range planning, and sales analysis. Designed by fashion professionals.

6. UX Design for Fashion Ecommerce

Design user experiences that convert and support the fashion customer journey.

You will learn

• UX principles for fashion ecommerce
• Navigation, filters and product pages
• Conversion-driven UX design
• Usability testing and optimization

View Course Details

UX design for Fashion Ecommerce

€ 75

Learn how to design high-performing fashion eCommerce experiences that convert. Discover best practices, tools and KPIs used by professionals to create luxury-inspired shopping journeys that build trust and drive sales.

7. Fashion Ecommerce Finance

Understand the financial drivers behind profitable ecommerce growth.

You will learn

• Ecommerce P&L for fashion brands
• Cost structure and margin management
• CAC, LTV and profitability metrics
• Financial planning for ecommerce expansion

View Course Details

Fashion eCommerce Finance: From P&L to Profitability

€ 450

Learn how to manage e-commerce financial performance and drive profitability in the online fashion industry. Master the fundamentals of P&L management, budgeting, forecasting, cost control, and financial reporting using best practices adopted by global fashion brands. This comprehensive course equips you with the tools to strengthen your financial decision-making, optimise margins, and support sustainable e-commerce growth. Update your skills, accelerate your career, and learn flexibly online while earning a globally recognised certification.

Shopify free training at Shopify Academy

For a basic introduction to ecommerce I recommend the free training available at Shopify Academy online. There is a good free introductory course to ecommerce that cover the essentials of

• User Experience Design,
• Wireframing,
• Copywriting
• Product Photography
• Pricing
• Search Engine Optimisation
• Email Marketing
• and how to set up a Shopify Ecommerce Website.

The course is called First Day to First Sale and it’s available for free after registering.

What Our Students Say

“The most practical fashion ecommerce courses I’ve attended — everything is applicable immediately.”

“Clear structure, real fashion case studies and expert instructors.”

1. AI Literacy and Tech Fluency Understanding AI tools for design (e.g., generative AI for concepts), trend forecasting, customer service, content creation, and supply chain optimization is the top opportunity cited by executives. Brands are scaling AI deeply, requiring professionals who can adapt workflows without losing creative essence.
2. Digital Marketing and E-commerce Expertise Proficiency in platforms like Shopify, Google Analytics, Meta Ads, CRM systems (e.g., Salesforce, Klaviyo), and social media strategies remains critical as brands operate as digital-first entities. Omnichannel thinking, blending online and offline experiences, is essential.
3. Sustainability Knowledge Skills in ethical sourcing, circular economy practices, eco-friendly materials, supply chain transparency, and regulatory compliance (e.g., upcoming laws on unsold stock) are increasingly mandatory, driven by consumer demand and legislation.
4. Data Analysis and Analytics Advanced use of Excel, data tools for merchandising, inventory planning, consumer insights, and performance metrics. Quantitative skills help in trend forecasting and personalized marketing.
5. 3D Design and Digital Tools Mastery of software like CLO 3D, Browzwear, Adobe Suite, or PLM systems for virtual prototyping, reducing waste and accelerating production.
6. Soft Skills: Adaptability, Communication, and Teamwork Critical thinking, curiosity, cross-cultural collaboration, and agility in volatile environments (e.g., tariffs, economic shifts) are valued over purely technical proficiencies.
7. Customer Understanding and Experience Design Insights into consumer behavior, personalization, and omnichannel retail to drive engagement amid value-conscious spending.

To stand out in 2026, focus on building a portfolio showcasing these hybrid skills, e.g., projects using AI for design or data for merchandising. Upskilling via online courses (e.g., in AI tools or sustainability certifications) and a strong LinkedIn presence will be key in a competitive market.

The industry rewards multi-skilled, adaptable professionals who connect creativity with efficiency and ethics

Discover our new Executive Master in AI for Fashion

Sources and further readings

Article written with the help of grok.com

• Fashion industry challenges in 2026: How brands can overcome sustainability, supply chain, and innovation hurdles – Heuritech
• The State of Fashion 2026: When the rules change

In fashion and luxury companies, the role of the merchandiser is often misunderstood or confused with creative direction. Fashion merchandising sits at the very heart of a brand’s commercial success, focusing on the commercial and business potential of the collection. The fashion merchandiser acts as the bridge between creativity, market demand, and financial performance.

To better understand what fashion merchandising really means today, we spoke with Mirko Buccianti, an experienced fashion merchandiser, about responsibilities, KPIs, tools, common mistakes, and advice for the next generation of fashion professionals.

Mirko Buccianti is an experienced Merchandising Manager and Consultant, he worked for global luxury brands such as Gucci, Brunello Cucinelli, Thom Browne and Furla.

Working at the intersection of creativity, data and strategy to shape strong, relevant and commercially successful collections.

“I translate brand vision, market insights and performance data into clear product strategies, effective range plans and coherent assortments.”

“My work bridges creative and commercial teams, helping brands turn intuition into structure and product decisions into long-term value”.

What is Fashion Merchandising?

Fashion merchandising is the function that manages the entire lifecycle of a fashion product, from the initial idea to the end of its commercial life, including markdowns. It is both a role and a team within a fashion company, responsible for turning creative concepts into profitable products.

A fashion merchandiser works at the intersection of multiple departments. They collaborate closely with design and style teams during product development, with marketing and commercial teams to promote and sell the right products, with eCommerce to ensure correct product presentation, and with finance to guarantee the required margins.

At its core, fashion merchandising is about making the right decisions every day: defining the right price, managing costs, building a balanced collection, and ensuring that each product meets both customer needs and business objectives. One of its key responsibilities is finding the right balance between opportunity and efficiency, avoiding collections that are too small to compete or too large to sustain.

In essence, fashion merchandising ensures that a brand offers the right product, at the right price, in the right quantity, while keeping the company focused, profitable, and aligned with the market.

What Does a Fashion Merchandiser Do?

“A merchandiser is a person – or a team – that manages the entire lifecycle of a product.”

This definition captures the essence of the role. Fashion Merchandising does not start when the product is ready to be sold, and it certainly does not end at launch. Instead, it spans from the initial product idea all the way to markdowns and end-of-life decisions.

Along the way, the merchandiser collaborates with many different teams:

• Style and design, to shape products that align with brand identity and market demand
• Marketing, to push the right products at the right time
• Commercial and eCommerce teams, to ensure correct product assortment, imagery, and positioning
• Finance, to guarantee sustainable margins and profitability

In short, the merchandiser ensures that creativity meets business reality.

The Key Goals and KPIs of a Merchandiser

At the end of the year, how is a merchandiser evaluated? According to Buccianti, there are a few critical KPIs that define success.

1. Collection Marginality & Profitability

One of the primary responsibilities of the fashion merchandisers is protecting and optimizing margins. This means managing costs, defining the right retail price, and positioning products correctly in the market, while respecting financial targets set by the company.

2. Collection Size and Structure

Another crucial KPI is the size of the collection. A collection that is too small may miss market opportunities, but an oversized one creates inefficiencies across the supply chain, burns cash, and disperses focus.

Fashion Merchandisers must constantly balance opportunity and discipline, understanding that every product decision has a direct impact on the company’s P&L.

What are the Tools of Modern Fashion Merchandising?

Despite digital transformation, many fashion companies are still heavily Excel-based when it comes to merchandising. Spreadsheets remain a core tool for managing data, budgets, and product performance.

That said, more advanced organizations support fashion merchandisers with:

• Business Intelligence tools, providing daily insights and performance tracking
• Benchmarking and trend analysis platforms
• Fashion trend websites and runway analysis
• Trade fairs and industry events, which remain essential for market understanding

The goal of these tools is always the same: helping merchandisers make faster, smarter, and more informed decisions.

What are the Most Common Mistakes Fashion Brands Make in terms of Merchandising?

One of the biggest mistakes companies make is trying to do more than what the market actually needs.

Often driven by competitive pressure (“others are doing this, so we should too”), collections become overly complex and disconnected from real customer demand. The result is wasted energy, overstretched teams, and diluted performance.

For this reason, the fashion merchandiser plays a critical strategic role: helping the company stay focused on what truly matters, cutting what is unnecessary, and prioritizing what creates value for the customer and the business.

What you your Advice for Aspiring Fashion Merchandisers?

For young professionals who want to pursue a career in fashion merchandising, Buccianti’s advice is clear: stay curious!

The fashion market is constantly evolving:

• Products change
• Materials evolve
• Technologies advance
• Customers shift, with Millennials and Gen Z redefining expectations

Doing “the same thing every day” is no longer an option. Successful merchandisers must remain alert, adaptable, and open to continuous learning.

As Buccianti puts it:

“You need to be very alive and change every day.”

Why Merchandising Is More Strategic Than Ever

Today, merchandising is no longer just about numbers or assortment planning. It is a strategic role that sits at the intersection of creativity, data, customer insight, and financial sustainability.

For fashion companies navigating increasingly complex markets and omnichannel environments, strong merchandising capabilities are not optional — they are essential.

At Digital Fashion Academy, we believe that understanding merchandising is a fundamental skill for anyone working in the fashion industry, wheter you are in eCommerce, Retail or Sales. This is why we continue to invest in high-level education led by experienced industry professionals.

Do you want to learn Fashion Merchandising?

Enrol now on the Fashion Merchandising Online Course

Learn Fashion Merchandising from collection briefing to the product in store. With instructor Mirko Buccianti – Collection merchandising manager with experience in Gucci, Brunello Cucinelli, Furla, Bally, Thom Browne.

• Detailed course programme
• Learning outcomes
• Who is this masterclass for
• Certificate of attendance
• Tools, Template and KPIs
• FAQ

Discover the Course

Fashion Merchandising course topics

Based on the course materials, the masterclass covers the full product lifecycle of fashion merchandising, divided into five main modules and a bonus section:

• Module 1: The Basics: Core definitions, the merchandiser’s role within the company, and the strategic collection calendar.

• Module 2: Collection Brief & Development: Creating the strategic brief, analyzing competitors, building the range plan, and managing the development process up to the sample set.

• Module 3: The Sales Campaign: Setting up the showroom (physical and virtual), defining the selling offer, and presenting the collection to stakeholders.

• Module 4: The Product in Store: Monitoring production, setting up retail/e-commerce, and analyzing sell-out performance.

• Module 5: End of Lifecycle: Managing markdowns, stock transfers, and exit strategies (outlets/stockists).

• Bonus: AI for Merchandising: Practical tips on using AI for data analysis, efficiency, and market intelligence.

The course also includes three practical exercises: Range Planning, Competitor Benchmarking, and In-Season Decision Making

Launching an eCommerce website for an affordable jewellery brand is an exciting step, but it’s also one that requires a business plan, a vision and expertise. Too often, brands think of eCommerce as simply “building a website”. In reality, a successful online store is the result of a well-defined process that combines strategy, content, user experience, technology and marketing.

At Digital Fashion Academy, we help brands and retailers design and launch Shopify eCommerce stores that are not only visually appealing, but also ready to sell, scale and compete in a crowded market.

In this article, we’ll walk you through the complete process of setting up a Shopify eCommerce website for an affordable jewellery brand, and explain how our consultancy and implementation service supports you at every step.

Why Shopify Is the Ideal Platform for Affordable Luxury Brands

Shopify is one of the most powerful and flexible eCommerce platforms available today, particularly for fashion and luxury brands. It allows you to:

• Launch quickly without complex technical development
• Manage products, prices and collections easily
• Offer a seamless mobile shopping experience
• Integrate payments, shipping and taxes in a scalable way
• Connect marketing channels such as Google, Instagram and Facebook

For affordable luxury brands, where high volume, mobile traffic and efficient operations are key — Shopify provides the ideal balance between simplicity and performance.

Step 1: Strategy & eCommerce Foundations

Before building anything, we start with strategy, to ensure that the Shopify store is aligned with your brand positioning and commercial goals.

Key activities include:

• Defining the target customer and their buying behaviour
• Clarifying price positioning and value proposition
• Analysing competitors and reference brands
• Identifying key collections and hero products
• Defining the markets as country-language combinations and rules to serve them
• Defining success metrics (conversion rate, average order value, traffic sources)

For affordable luxury brands, strategic clarity is essential to avoid competing only on price and instead build perceived value and trust.

Step 2: Product Content Creation – The Heart of Your Store

Product content is the most critical element of any affordable luxury eCommerce website. No theme or advertising campaign can compensate for weak product presentation.

We support brands in structuring and creating:

• High-quality product photography (studio and/or lifestyle)
• Clear and consistent product naming
• Detailed product descriptions including:
  • Materials and finishes
  • Sizes and dimensions
  • Usage and styling suggestions
  • Care instructions
  • Tags and attributes
• Variants such as colours, sizes or sets

Strong product content increases conversion rates, reduces returns and improves SEO performance.

Step 3: Shopify Store Setup & Visual Experience

Once the foundations are defined, we move into the Shopify setup phase.

This includes:

• Theme selection and customization
• Homepage structure focused on best sellers, collections and trust elements
• Product page layouts optimized for conversion
• Mobile-first design (essential for fashion, jewellery, beauty shopping)
• Consistent branding across all pages

The goal is to create a clean, elegant and trustworthy experience that reflects the brand while remaining fast and easy to navigate.

Step 4: Collections, Navigation & Filters

As your catalogue grows, structure becomes essential for usability and conversion.

We teach you how to configure, and support you in the configuration of:

• Smart collections (by product type, price range, material, style or occasion)
• Clear navigation menus
• Advanced filters to help customers find products quickly
• Internal linking for better SEO and discoverability

For affordable luxury brands, good navigation helps customers browse more products, increasing both time on site and average order value.

Step 5: Legal Compliance & Trust Elements

Trust is fundamental in online luxury sales, especially for new or emerging brands.

We configure all essential legal and trust components, including:

• Privacy Policy
• Terms & Conditions
• Returns and Refund Policy
• Cookie consent and GDPR compliance
• Payment icons, guarantees and customer reassurance elements

This step protects your business and reassures customers at the moment of purchase.

Step 6: Payments, Shipping & Tax Configuration

A smooth checkout experience directly impacts conversion rates.

We set up:

• Payment gateways (Shopify Payments, PayPal, Klarna and others)
• Shipping methods and pricing rules
• Tax configuration based on your markets
• Automated order and customer notifications

Everything is tested to ensure reliability before launch.

Step 7: Marketing & External Integrations

A Shopify store should be built with growth in mind from day one.

We connect and configure:

• Google Analytics and GA4
• Google Ads
• Google Merchant Center for Shopping Ads
• Google My Business
• Meta (Instagram and Facebook)
• Social commerce integrations

This ensures accurate data tracking and allows you to activate digital marketing campaigns immediately after launch.

Step 8: Testing, Launch & Team Training

Before going live, we conduct a full quality check:

• Checkout and payment testing
• Mobile and desktop usability tests
• SEO and performance checks

We provide training and coaching so your team can confidently:

• Manage products and collections
• Process orders
• Handle basic marketing and content updates

How Digital Fashion Academy Supports Your Shopify Project

At Digital Fashion Academy, we don’t just “build websites”. We guide fashion and jewellery brands through the entire eCommerce setup process, combining:

• Fashion & Luxury eCommerce expertise
• Shopify technical implementation
• UX and conversion optimization
• Digital marketing readiness

Our approach is ideal for affordable luxury brands that want a professional Shopify store that is ready to sell, compliant, scalable and aligned with long-term growth.

Ready to Launch or Improve Your Jewellery eCommerce?

If you are planning to launch a Shopify store for your jewellery brand — or want to improve an existing one — our team can support you from strategy to launch and beyond.

Contact us to discuss your Shopify eCommerce project and discover how we can help you build a store that truly performs.

👉 Explore our CPD-accredited courses and take the next step in your fashion career with training that truly makes a difference.

At Digital Fashion Academy, we are committed to providing training that is relevant, valuable, and recognised by the fashion industry. Our courses are taught by experienced professionals currently working with leading fashion and luxury brands, bringing real-world expertise and proven success stories into the classroom.

Enrico Fantaguzzi – Co-founder Digital Fashion Academy

What Is CPD Standards Accreditation and Why It Matters for Your Career

Competition in the fashion and luxury industry is higher than ever. Competition for market share, for attention and for positions in fashion companies. Fashion companies need qualified professionals with proven skills to tackle digital channels and digital fashion professionals are expected to keep learning and adapting.

When fashion professionals take a course at Digital Fashion Academy, they choose courses not only to gain skills but also to earn a certification that strengthens their career profile. But in a crowded training market, not all certificates carry the same weight. The difference often lies in whether a course is accredited by an independent body.

Digital Fashion Academy an accredited provider and here you can find our accredited training programs.

What Is CPD?

CPD stands for Continuing Professional Development. It refers to the ongoing process by which professionals maintain, improve, and broaden their skills throughout their careers. In many industries — from law to healthcare — CPD is mandatory. But even in fast-evolving fields like digital marketing and e-commerce, CPD is increasingly becoming a standard employers look for.

What Is CPD Standards Accreditation?

The CPD Standards Office is an independent body that evaluates training providers, courses, and events. Accreditation means that a program has been reviewed and approved against professional benchmarks for quality, structure, learning outcomes, and relevance.

When a course is accredited, learners can be confident that it is well-designed, up to date, and provides measurable outcomes. For employers, CPD accreditation offers assurance that staff training is credible and effective.

How Does the Accreditation Process Work?

Becoming CPD-accredited is a structured process:

1. Assessment – Course materials, teaching methods, and learning outcomes are reviewed.
2. Approval – If the course meets the required standards, it is formally accredited.
3. Certification – Students who complete the course receive a certificate with CPD credits or hours.
4. Renewal – Courses are periodically reassessed to ensure they remain current and relevant.

At Digital Fashion Academy, this means our courses will not only help you develop skills but also provide you with independently validated evidence of your professional growth.

Why Should You Choose a CPD-Accredited Course?

For learners, the benefits are clear:

• Credibility: Your certificate carries more weight with employers because it’s backed by an independent body.
• Career Advancement: CPD certificates are recognised across industries and can support promotions, job applications, or consultancy opportunities.
• Quality Assurance: Accredited courses guarantee a structured, outcome-focused learning experience.
• Transferable Recognition: CPD is accepted in many sectors, so your certification remains valuable if you move between industries.
• Commitment to Growth: Demonstrates to employers and clients that you are serious about keeping your skills up to date.

For providers like us, CPD accreditation ensures our courses meet the highest standards, giving our students even greater confidence in the value of their training.

Is CPD Standards internationally recognised?

Yes — the CPD Standards Office has considerable international recognition. Here’s what we know from their “CPD Across the Globe” summary:

• The CPD Standards Office supports CPD schemes globally, with an increasing international reputation as a trusted mark of excellence in professional development. The CPD Standards Office
• They have accredited training providers in over 70 countries across multiple continents. The certificates issued by CPD Standards are accepted in many countries and across a variety of professional sectors. The CPD Standards Office
• In regions like Australia & New Zealand, Europe, Middle East, Africa, and the USA, CPD is valued, and there are providers registered with CPD Standards who deliver training locally or internationally. The CPD Standards Office
• For many regulated professions, international bodies, and multinational employers, a CPD accreditation shows that a course meets globally-understood standards of quality, relevance, and structure. While different countries or sectors may use slightly different terminology (e.g., Continuing Education, Continuing Medical Education, etc.), a CPD Standards-accredited certificate often translates well across borders. The CPD Standards Office

So, if you are studying with Digital Fashion Academy and the course becomes CPD Standards-accredited, your certificate is not just locally meaningful, it has credibility in many other parts of the world.

Which courses are accredited?

Fashion eCommerce Management Course & Certification

Course and certification in e-commerce strategies, tools, KPIs, and best practices to optimize online sales and customer experience. An industry facing course designed by leading fashion professionals to provide you with in-demand skills for your job.
Discover the course programme >>

Fashion Digital Marketing Course & Certification

Designed for fashion and luxury professionals, this comprehensive program delves into digital marketing strategies, tools, and key performance indicators (KPIs) essential for success in the industry. Gain hands-on experience in crafting effective campaigns, optimizing SEO, and leveraging social media to drive e-commerce growth.
Discover the Digital Marketing Course programme >>

Professional Certification in Ecommerce & Digital Marketing for Fashion

Advance your digital fashion career with our expert-led E-commerce & Digital Marketing Course. Gain in-depth skills in e-commerce, digital marketing, SEO, and online store management. Learn flexibly online with top industry mentors and earn a globally recognized certification.
Discover the E-commerce & Digital Marketing programme >>

Visual Merchandising Course for Fashion Retail

Learn visual merchandising best practices and earn a visual merchandising certificate. This course equips fashion professionals with tools, strategies and proved techniques to create engaging displays, optimize customer experience, and boost in-store conversions.
Discover the Visual Merchandising course programme >>

Fashion eCommerce Finance: From P&L to Profitability

Enhance your e-commerce profitability with our Fashion Finance course. Learn financial best practices adopted by global brands, including budgeting, forecasting, cost control, and reporting. This comprehensive program equips you with the tools to master e-commerce P&L management and drive success in the online fashion industry.
Discover the E-commerce Finance Course programme >>

Common Questions

Is CPD the same as a university qualification?
No. CPD accreditation validates the quality of professional training, but it is not the same as a degree or government-regulated qualification.

Will a CPD certificate guarantee me a job?
Not directly, but it significantly strengthens your profile, showing employers you are proactive and committed to learning.

How are CPD hours measured?
Typically, one hour of structured learning equals one CPD point or credit. Accredited courses specify the exact CPD value.

What This Means for Digital Fashion Academy Students

By undergoing CPD Standards accreditation, we are ensuring that your training with us not only gives you the skills you need to succeed in digital fashion but also provides an internationally recognised credential.

This is a key step in our mission: to prepare professionals in fashion e-commerce and digital marketing with both the knowledge and the credibility to stand out in today’s competitive market.

Final Thoughts

In modern disciplines where change is constant, ongoing professional development is not optional, it’s essential. Choosing a CPD-accredited course means choosing a path that is structured, credible, and career-enhancing.

At Digital Fashion Academy, we are proud to be an accredited provider. We look forward to offering our students not just skills, but skills with recognised value that will support your professional growth for years to come.

Scaling a business from a solo operation to an efficient organization requires more than hard work—it calls for structure, clarity, and consistent practice. These are not abstract theories but practical tools to help you save time, delegate effectively, and grow sustainably.

Below are the foundational principles and tools that every growing SME should put in place to align teams, improve processes, and reach your goals.

1. Strategic Foundation

Mission & Vision

• Mission defines what you do and why. It should guide daily behaviour and decision-making.
• Vision describes where you want the company to go long term. It should orient strategy.
• Make sure they’re distinct but aligned. For example:
  • Mission: Deliver contemporary smart casual wear at accessible prices.
  • Vision: Become the go-to brand for young professionals in metropolitan areas.

Annual (or Quarterly) Company Goals

• Limit to 3–5 clear, measurable goals per year that cover the most important growth levers (revenue, product, satisfaction, reach).
• Cascade these goals so every team and individual has aligned objectives.

2. Structuring Your Team & Roles

Job Titles & Descriptions

• Define roles clearly: responsibilities, deliverables, authorities, and limits.
• Use a logical hierarchy (Intern → Specialist → Coordinator → Manager → Director) so people understand career progression.

Onboarding & Induction

• Use shadowing to let new employees observe experienced colleagues.
• Provide structured induction covering: company history, values, product knowledge, systems and tools (ERP, CRM, eCommerce platforms), and procedures.
• Include check-ins during the first weeks (after 1 week, 1 month, 3 months) to ensure new hires feel supported and clear on expectations.

3. Performance & Accountability

Goal-Setting & Metrics

• Each individual should have 2–4 KPIs tied directly to company goals.
• Use SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound).

Regular Appraisals & Feedback

• Hold regular check-ins (monthly or quarterly) and formal annual reviews.
• Use these sessions to celebrate success, identify improvement areas, and set development plans.

Delegation

• Clearly define tasks, expected outcomes, and deadlines.
• Empower employees to act but maintain accountability. Avoid micromanagement—trust but verify.

4. Operational Tools & Prioritization

Prioritization Frameworks

• Eisenhower Matrix: Distinguish between urgent and important tasks to decide what to do now, later, or delegate.
• Pareto Principle (80/20 Rule): Identify which 20% of activities generate 80% of results.
• Daily “Top 3”: Focus on the three most important tasks each day.

Policies, Guidelines & Procedures

• Policies: High-level rules (e.g. leave, expenses).
• Guidelines: Best practices for recurring tasks.
• Procedures: Step-by-step instructions for frequent or complex workflows (e.g. product launch, order fulfilment, customer returns).

Examples of Policies, Guidelines, and Procedures

Content:

Policies

• Employee Code of Conduct
• Data Protection & Privacy Policy
• Return & Refund Policy

Guidelines

• Visual Merchandising Best Practices
• Social Media Tone of Voice
• Email Marketing Design Standards

Procedures

• Product Upload Process on eCommerce Platform
• Customer Order Fulfilment Workflow
• New Employee Onboarding Steps

Communication & Meetings

• Define communication types: horizontal, vertical, formal, informal.
• Structure meetings efficiently:
  • Daily Stand-ups (5–15 mins): status updates, blockers.
  • Weekly Team Meetings: progress tracking and alignment.
  • One-on-One Meetings: feedback and coaching.
  • Project Kick-Offs: clarify objectives, roles, and timelines.
  • Decision Meetings: focus on deciding, not debating.
  • Quarterly / Annual Reviews: big-picture alignment and strategy.
• After each meeting, record decisions, next steps, and responsibilities.

5. Technology & Efficiency Tools

• Document & Knowledge Management: Use shared cloud storage (Google Drive, OneDrive, Dropbox) with version control to avoid silos.
• Project Management Tools: Trello, Asana, Monday.com, or Notion for task tracking and collaboration.
• Shared Calendars: Coordinate schedules and improve visibility across teams.
• Automation & AI Tools: Automate repetitive tasks (emails, reports) and use AI for insights—always with human oversight.

6. Leadership, Culture & Continuous Improvement

• Lead by Example: Your behaviour sets the tone—integrity, quality, work ethic, collaboration.
• Culture of Accountability: Everyone owns outcomes. Mistakes become learning opportunities.
• Continuous Learning & Innovation: Encourage upskilling, mentoring, and experimentation.
• Employee Well-Being & Inclusion: People perform best when supported—flexible work, balanced workloads, respect, and inclusion matter.

7. Planning for Risk, Finance & Adaptability

• Budgeting & Financial Planning: Maintain control of cash flow, forecasting, and reserves for unexpected costs.
• Risk Management: Identify key risks (market shifts, supply chain, staffing) and plan mitigations.
• Feedback Loops & Adaptation: Gather feedback from customers and employees, monitor metrics, and pivot when needed.

Conclusion

Growing beyond a solo operation means building more than just a product—it means building structure, systems, people, and culture. If you invest in clear goals, well-defined roles, strong communication, efficient tools, and caring leadership, your SME can scale efficiently, sustainably, and resiliently.

By Aisha Khalid

Aisha K. is Global Vice President of Digital at Ulla Johnson, where she leads global digital strategy and eCommerce growth. With extensive experience in digital transformation, performance marketing, and omni-channel expansion, she specializes in building scalable strategies that enhance customer experience and drive measurable results.
Passionate about blending storytelling with data-driven insights, Aisha has a proven track record of optimizing online platforms, streamlining digital operations, and delivering innovative solutions for the fashion industry.

Working with fashion brands of all sizes, I often see small and emerging labels struggling with similar issues. Running a fashion business today isn’t just about having a great product, it’s about building the right foundations to grow and compete in a very crowded market. Here are some of the most common challenges I see:

1. Lack of Strategic Foundations
Many small brands operate in a reactive way, chasing trends or short-term wins, rather than following a clear strategy. It’s easy to get caught up in daily survival mode, but without a long-term vision and scalable processes, growth becomes very hard.

2. Overdependence on Quick Conversions
The pressure to make sales today often overshadows the need to invest in brand-building and customer loyalty. This “short-term only” mindset can prevent the innovation and risk-taking needed for sustainable growth.

3. Knowledge Gaps
Unlike big players, small brands don’t always have access to market data, best practices, or years of experience to guide them. Founders wear multiple hats, which leaves little time for in-depth analysis or strategy building.

4. Talent & Team Building
“You’re only as good as your team” is especially true in fashion. But for small brands, attracting and retaining skilled talent can be tough. Budget constraints often lead to reliance on freelancers, which makes building a consistent culture or long-term structure harder.

5. Scaling & Operational Complexity
Growing from a founder-led business to an efficient organization requires expertise in areas like logistics, growth marketing, and margin optimization, not just creativity. Many brands spend too much time on aesthetics and not enough on the systems that actually fuel growth.

6. Brand Visibility in a Saturated Market
Standing out is harder than ever. Many young brands lean too heavily (or not enough) on Instagram and TikTok. Without a clear identity, it’s easy to get lost in the noise.

What Should Fashion Start-ups Prioritize?

If you’re building a fashion brand today, where should your focus be? A few key priorities stand out:

• Define a Clear Objective
  Set a concrete, measurable goal (e.g. “Grow to $3M revenue in 5 years”). This becomes your north star for every decision.
  
• Build Strategic Pillars
  Decide on 3 – 5 growth drivers that will get you there: brand positioning, product-market fit, customer acquisition, operations, and customer retention are usually the essentials.
  
• Find and Own Your Niche
  Don’t try to appeal to everyone. Focus on a cultural whitespace, unique aesthetic, or unmet need , and build a loyal community around it.
  
• Strengthen Your Brand Identity
  Trends can be copied, but your brand DNA can’t. Everything from pricing to photography to customer service should reflect your positioning.
  
• Set Up an Efficient Structure
  Invest in the right systems from the start, tech platforms that save time, processes that scale, and documentation that avoids dependency on individuals.
  
• Stay Curious & Connected
  Talk to other founders, go to trade shows, find mentors. Continuous learning and networking are underrated but extremely powerful growth tools.
  

The Must-Have Tools for Small to Medium Fashion Brands

In today’s market, small brands don’t need hundreds of tools , they need the right ones. The secret is simplicity, clarity, and execution. Pick tools that align with your goals, then make sure you’re using them to their full potential.

Here are my essentials:

• E-commerce Platform → Shopify (easy to scale, great UX, app-rich ecosystem).
  
• Analytics & Customer Journey → Google Analytics 4 + Hotjar for heatmaps and session recordings.
  
• Marketing & Retention → Klaviyo for email/SMS automation, segmentation, and predictive insights (CLV, churn, next purchase).
  
• CRM & Customer Data → Shopify + Klaviyo already cover a lot.
  
• Returns & Operations → Loop Returns for a seamless, revenue-retaining return process.
  
• Customer Support → Gorgias, built for e-commerce, integrates with Shopify and social platforms.
  
• Content & Social → Dash Hudson for social scheduling and performance tracking.
  
• Advertising → Meta, Google, and TikTok Ads Manager are more than enough , if managed by skilled marketers or the right agency.
  

At the end of the day, small and medium fashion brands succeed not by having everything, but by being clear about what matters most, staying focused, and building smart, flexible systems that support growth.

Deep dive: the full interview questions

Enrico Fantaguzzi: As someone who works closely with fashion brands of all sizes, what do you think are the biggest challenges facing small fashion businesses today?

Aisha Khalid: One of the biggest issues I see is that many small brands operate in a reactive way. They tend to make decisions based on taste or trends, rather than following a clear, strategic plan. It’s hard to stay focused on long-term goals when you’re constantly in survival mode.

Small brands often operate in a reactive way (problem > solution) instead of focusing on their medium and long term goals.

A lot of founders also don’t have the experience or resources to build scalable business models. They often overlook the importance of systems, processes, and platforms that could really help them grow efficiently.

Another major challenge is the pressure to generate quick sales. That pressure can make it difficult to invest in brand-building or long-term growth strategies. And let’s be honest, fear of failure can sometimes stop founders from taking the kind of risks that lead to real innovation.

There are also big knowledge gaps. Unlike established brands, smaller companies don’t always have access to insights, benchmarks, or best practices. Founders are juggling so many roles that there’s often little time left for deep market research or performance analytics.

Enrico: So it’s not just about making the product and selling it?

Aisha: Exactly. Many small brands underinvest in understanding customer lifetime value, retention strategies, or how to create an effective omnichannel experience. And let’s not forget the talent issue. Building a strong team is tough when you can’t offer big salaries or long-term career paths. You often end up working with creatives or freelancers who value freedom – which is great – but it can make it harder to build a stable company culture or leadership structure.

Enrico: And once they do start to grow, I imagine things get even more complex?

Aisha: Totally. Scaling a brand requires a different skillset. Suddenly you’re dealing with localization, personalization, marketing efficiency, margin optimization… all while trying to maintain your creative identity. Many founders spend too much time on things that look good but don’t actually move the business forward.

And of course, visibility is a massive challenge. The market is saturated, and it’s tough to stand out, especially without a big ad budget or in-house performance marketing expertise. Some brands rely too heavily on platforms like Instagram or TikTok without a strong brand foundation, and that can backfire.

Enrico: Given all these challenges, what do you think should be the top priorities for fashion start-ups? Should they focus on building a strong image, finding a niche, or creating an efficient structure?

Aisha: All of the above, but in the right order and with a clear goal in mind. First, define a non-negotiable objective. Something like, “We want to grow to $3 million in annual revenue within five years.” That goal becomes your north star. Every decision, whether it’s about product, marketing, hiring, or partnerships, should ladder up to it.

Then you build a focused roadmap with quarterly and annual milestones. From there, identify 3 – 5 key pillars that will drive your growth. For example:

• Brand Positioning & Identity: Know exactly who you are and why you exist.
  
• Product-Market Fit: Solve a real need for a specific audience—consistently.
  
• Customer Acquisition: Choose one or two channels and get really good at them before expanding.
  
• Operational Excellence: Build smart systems for inventory and fulfillment early on.
  
• Retention & Community: Use storytelling, CRM, and great customer experience to keep people coming back.

Enrico: And in terms of market positioning?

Aisha: Find and own your global niche. Don’t try to please everyone. Look for a cultural whitespace or a unique aesthetic or functional need that’s underserved—and build a community around it. Niche doesn’t mean small, it means focused and defensible.

You also need to create and maintain a strong brand identity. Product trends can be copied, but your brand DNA can’t. Your brand isn’t just your logo or tone of voice—it’s how you price, how you ship, how you photograph your items, how you hire… all of it.

And finally, set up an efficient, flexible structure. Use tech tools that scale with you, document processes early, and don’t rely too much on any one person.

Enrico: Great advice. One last question. You’ve worked in eCommerce for some of the biggest names in fashion and luxury. What software solutions do you think small and medium brands absolutely need to be competitive?

Aisha: Keep it simple. I always say—clarity of objective and strong execution beat fancy tech stacks. Too many tools can lead to confusion, fragmentation, and wasted budget. Choose tools based on your actual business goals, not what’s trendy.

Here’s what I’d recommend:

• E-commerce Platform: Shopify. It’s the best for fashion—scalable, app-rich, easy to use, and mobile-friendly.
  
• Analytics & Customer Insights: Google Analytics 4 for macro insights, and Hotjar for user behavior (heatmaps, session recordings).
  
• Email & SMS Marketing: Klaviyo is fantastic—deep segmentation, automation, and predictive analytics for churn and CLV.
  
• CRM: Honestly, Shopify + Klaviyo already gives you a solid customer data setup.
  
• Returns Management: Loop Returns works well with Shopify and helps retain revenue.
  
• Customer Support: Gorgias is purpose-built for eCommerce and integrates with all key channels—Shopify, Instagram, Facebook, email, and SMS.
  
• Content & Social: Dash Hudson is great for planning and tracking social content.
  
• Advertising: Stick with platform-native tools—Meta, Google, TikTok Ads Manager. Just make sure you’re working with an agency that understands fashion eCommerce and can deliver strong ROAS without blowing up your CAC.

Date: 22 September 2025

Digital Fashion Academy is proud to announce a new strategic partnership with the African Fashion Futures Incubator (AFFI), a visionary platform committed to building resilient creative enterprises across the continent. Together, the organizations aim to empower the next generation of African fashion leaders by providing the tools, knowledge, and networks needed to transform creativity into global influence and impact.

This partnership goes beyond fashion design: it is about fostering innovation, entrepreneurship, and long-term economic value for Africa’s creative industries also thanks to the engagement of a top-level digital academy whose efforts are addressed to leverage on advanced skills both in the fashion and the digital fields.

As a leading online platform for digital fashion education, the Digital Fashion Academy brings cutting-edge training in areas such as fashion tech, e-commerce, digital marketing and AI, that are critical for success on international markets. This partnership marks a shared commitment to democratizing access to industry knowledge and ensuring that African designers are heard on the world stage.

Quotes

“We believe in the transformative power of education and digital innovation.” said Enrico Fantaguzzi, Founder of the Digital Fashion Academy. “Our partnership with AFFI goes beyond fashion, it’s about empowering young entrepreneurs to shape the future of Africa’s fashion industry and connecting them with best practices from leading managers at global brands.”

“Through our collaboration, the AFFI-II’25 is shaping resilient enterprises that can drive long-term value for Africa’s creative economy,” said Roberta Annan, Founder of African Fashion Foundation. “At the African Fashion Foundation, we act as a convener of ecosystem players for those in our network. We promote collaboration amongst African and non-African creative stakeholders. Through AFFI-II’25, we are strengthening pathways for African creatives to thrive, while empowering local communities and inspiring diversity in the global creative economy.”

AFFI-II’25 represents the next chapter in a bold initiative to nurture the talents and visions of Africa’s emerging fashion entrepreneurs, positioning them to lead, inspire, and create value at both local and global levels.

For further information, please contact:
info@digitalfashionacademy.com

About Digital Fashion Academy

Digital Fashion Academy is a global online school dedicated to Fashion and Luxury professionals who want to enhance their digital expertise. The flexible training programs in digital fashion and e-commerce management cover key areas such as e-commerce, digital marketing, customer relationship management (CRM), business intelligence and web analytics, fashion technology, and marketplaces with a focus on the latest trends and best practice in these fields.

Designed with industry needs in mind, the courses provide the practical skills and knowledge required to succeed in today’s digital fashion landscape. The aim of the Academy is to equip the professionals with the tools to advance their career and thrive in a fast-changing industry.

Find out more: www.digitalfashionacademy.com

Follow the DFA on LinkedIn and Instagram

About the African Fashion Foundation

The African Fashion Foundation (AFF) is a non-profit organization committed to supporting Africa’s creative industries. Through capacity-building programmes, international partnerships, and access to global platforms, AFF empowers designers, entrepreneurs, and communities to thrive in the creative economy.

AFF uses its programmes and facilities to empower local African communities and entrepreneurs, working at the intersection of culture, creativity, and commerce. With AFFI-II’25, the Foundation continues to scale its impact by promoting innovation, investment, and long-term industry growth for African designers.

AFFI-II’25 builds on the success of the inaugural incubator, which supported a dynamic cohort of designers who have since expanded their brands internationally. This next phase will deepen collaboration, foster cross-border partnerships, and position African fashion more prominently in the global economy.

Find out more: https://africanfashionfoundation.org/

For more information, please contact:

African Fashion Foundation
Joel-Karl Keku
joel-karl@africanfashionfoundation.org

Anna-Stephanié Ayemene
anna.ayemene@africanfashionfoundation.org

Measuring success goes far beyond financial metrics: while topline growth, cost efficiency, and ROI remain central, true value also lies in strategic and intangible benefits, customer experience, organisational agility, and long-term competitiveness. In short, omnichannel is both a growth engine and a cultural shift, enabling brands not just to survive but to lead.

Gilles has spent the past 16 years working around the world (US, Asia and Europe) for Fashion companies such as Philipp Plein and Michael Kors in different roles around Finance & Operations.

He is currently MD of SpectR Consulting, working on consulting projects covering topics around Strategy, Finance and Operations

Omnichannel retailing is not a luxury but a requirement for competitiveness. It delivers both financial returns and intangible benefits, such as enhanced customer experience and loyalty, creating long-term value.

What are the main strategic and operational benefits of omnichannel for modern companies?

Omnichannel retailing offers a range of crucial strategic and operational advantages for modern businesses, turning it from an option into a competitive necessity.

Strategic Advantages

• Improved Customer Engagement and Loyalty: Companies with an omnichannel strategy report a retention rate of 89% compared to 33% for those relying on a single channel. This is a key indicator of the impact omnichannel strategies have on enhancing customer experience.
• Revenue Growth:
  • Companies that implement omnichannel strategies see topline growth of 9.5% per year, versus 3.4% for others.
  • More opportunities for cross-selling and up-selling increase the value associated with each customer.
  • Omnichannel customers, while only representing 7% of the total, generate 27% of overall sales.
  • Expanding the scope of business across multiple sales channels (such as Buy Online, Pick-up In Store – BOPIS, or mobile ordering) helps drive conversion rates. During the pandemic (2019–2021), the conversion rate for BOPIS rose from 2.3% to 3.3%.
  • Brands using three or more channels report a 494% increase in order rates and a 250% increase in engagement compared to single-channel players.
• Meeting Consumer Expectations: Consumers already live in an omnichannel world, and businesses must keep up to avoid falling behind. 60% of shoppers expect to use services like BOPIS, whose sales have grown by 208%.
• Organizational Agility and Cultural Transformation: Omnichannel is a catalyst for cultural change, requiring marketing, IT, and operations to work together and share objectives. This creates intangible but essential benefits, such as improved organizational agility.

Operational Advantages

• Cost Efficiency:
  • Omnichannel integration reduces stockouts, optimizes the supply chain, and lowers customer acquisition costs, as each interaction becomes more effective.
  • Better inventory management is critical; the most profitable brands have superior stock control. Brands with an EBITDA margin above 40% typically maintain lower inventory levels.
  • 27% of online customers would leave a site if a product was out of stock, moving to a competitor. Stock management is therefore a key priority.
• Operational Efficiency:
  • Streamlined processes and faster customer service.
  • Integration of online and offline channels eliminates duplication and waste.
  • Brands gain the opportunity to rethink processes and internal organization to reduce redundancies and improve workflows.
• Better Product Availability Management: This includes inventory optimization and the ability to offer personalized services to each customer.
• Change Management and Incentives: For a successful omnichannel strategy, managing organizational change is crucial, as is defining a new sales incentive plan—an often-overlooked factor.

How does omnichannel transform internal and customer relationships?

Omnichannel retailing introduces profound transformations both in internal company relations and in the way a business interacts with its customers.

Transformation of Internal Relations

Omnichannel acts as a catalyst for cultural change within the organization. It requires unprecedented integration and collaboration across departments:

• Cross-Functional Collaboration: It forces marketing, IT, and operations to work together and share common goals. Operating in silos is no longer sufficient.
• Review of Organizational Processes: Each brand has the opportunity to reassess its processes and internal organization to reduce redundancies and improve workflows. This leads to greater organizational agility.
• Change Management: Implementing an effective omnichannel strategy requires strong change management involving all departments. This aspect is often underestimated.
• New Incentive Systems: Defining a new sales incentive plan is crucial. It is an essential component of a properly functioning omnichannel strategy, yet often overlooked.
• Sharing of Insights: Departments must share their knowledge about customer behavior and preferences (customer insights and trends). Merchandising should also be involved, as this information can influence collection development and pricing decisions.
• Strategic Alignment: The goal is to align marketing strategies across all channels and markets to maximize customer engagement and campaign effectiveness.

These internal benefits, such as organizational agility, are considered intangible advantages which, while difficult to measure, make the difference between a company that merely exists in the market and one that leads it.

Transformation of Customer Relations

Omnichannel is essential to meeting consumer expectations, as customers already “live in an omnichannel world.” The transformation of customer relations is expressed through:

• Improved Engagement and Retention: Companies with an omnichannel strategy report a retention rate of 89% compared to 33% for those relying on a single channel. Brands using three or more channels see a 250% increase in engagement.
• Enhanced Customer Experience: Omnichannel is not just about multiplying touchpoints but about ensuring continuity and consistency in the customer journey. This includes seamless integration, better product availability management (through inventory control), and the ability to deliver personalized services throughout the customer’s relationship with the brand.
• Increased Customer Value: With stronger retention and more cross-selling and up-selling opportunities, the value of each customer grows. Leveraging cross-selling and up-selling also enhances engagement, enabling the development and promotion of additional initiatives.
• Adaptation to New Shopping Modes: Consumers expect to use options such as Buy Online, Pick-up In Store (BOPIS), whose sales have grown by 208%. In fact, 60% of shoppers expect this option to be available. Mobile e-commerce is also expanding rapidly, reflecting customer expectations of flexible shopping experiences.
• Higher Conversion Rates: Expanding across multiple channels drives higher conversion rates. For example, the conversion rate for BOPIS increased from 2.3% to 3.3% during the pandemic.
• Importance of Stock Management: Product availability is critical, as 27% of online customers would abandon a site and switch to another if an item were out of stock. Effective inventory management and better product allocation contribute to a positive customer experience.

How can you effectively measure the return on investment of an omnichannel strategy?

Measuring the return on investment (ROI) of an omnichannel strategy effectively goes beyond simple financial analysis. It must include strategic and operational metrics, while also recognizing the importance of intangible benefits.

Here is how the ROI of an omnichannel strategy can be measured, based on key points:

1. Direct Financial Metrics

These are fundamental and often the CFO’s main focus:

• Revenue Growth:
  • Topline Growth: Companies with an omnichannel strategy record annual topline growth of 9.5%, compared to 3.4% for others.
  • Omnichannel Sales: Measure the percentage of sales generated through omnichannel activities (e.g., 13% of physical sales and 20% of online sales, according to Mins).
  • Contribution of Omnichannel Customers: Omnichannel customers, while only 7% of the total, generate 27% of overall sales.
  • Conversion Rate: Expanding business scope across multiple channels (such as Buy Online Pick-up In Store – BOPIS – or mobile ordering) is aimed at improving conversion rates. For example, during the pandemic the BOPIS conversion rate rose from 2.3% to 3.3%.
  • Cross-Selling and Up-Selling: Quantify the increase in cross-selling and up-selling opportunities that boost customer lifetime value.
  • Order Rate Growth: Brands using three or more channels record a +494% increase in order rates.
• Cost Efficiency:
  • Reduction of Stockouts and Supply Chain Optimization: Measure the impact of reducing lost sales due to stockouts and improving supply chain efficiency. Better inventory management is correlated with higher profitability (brands with EBITDA margins above 40% typically have lower inventory levels). Since 27% of online shoppers abandon a site when an item is out of stock, inventory management is critical.
  • Lower Customer Acquisition Costs (CAC): More effective interactions enabled by omnichannel strategies can reduce the cost of acquiring new customers.
• Net Profit Margins: A fundamental metric for CFOs, who focus not only on topline growth but also on gross margin to identify potential issues (e.g., excessive discounting that erodes profitability).
• Return on Investment (ROI): Ensure that the benefits outweigh the investments made.

2. Strategic and Operational Metrics

These focus on the impact on customers and organizational performance:

• Customer Retention: Companies with an omnichannel strategy achieve an 89% retention rate compared to 33% for single-channel businesses. Measuring this rate is a key indicator.
• Customer Engagement: Brands using three or more channels see a 250% increase in engagement compared to single-channel players. Cross-selling and up-selling opportunities also strengthen engagement.
• Adoption of New Shopping Methods: Track the use of services such as BOPIS, whose sales grew 208%, with 60% of shoppers expecting to use it. Growth in mobile e-commerce (from 4.4% to a projected 10.4% of total sales) is another key indicator.
• Operational Efficiency: Assess process streamlining, faster customer service, and the elimination of duplication and waste thanks to online/offline integration. This may include warehouse optimization and better product allocation.
• Customer Experience Quality: While difficult to measure directly, improvements are reflected in consistent integration, better product availability management, and the ability to deliver personalized services throughout the customer journey.

3. Intangible and Organizational Benefits

ROI is not just about numbers—intangible benefits are crucial:

• Customer Loyalty and Experience: Hard to quantify, but they make the difference between a company that is present in the market and one that leads it. They contribute to long-term value creation.
• Organizational Agility: Omnichannel acts as a catalyst for cultural change, pushing marketing, IT, and operations to collaborate and share goals. This creates greater agility—an essential intangible benefit.
• Reduced Redundancies and Improved Workflows: Each brand has the opportunity to review processes and internal organization to enhance efficiency.

Key Considerations for Measurement

• Change Management: Often underestimated, but fundamental to the success of any omnichannel project, requiring the involvement of all departments.
• New Sales Incentive Plans: Defining an adequate incentive scheme is essential to an effective omnichannel strategy, though often neglected.
• Sharing of Insights: Departments must share customer behavior and preference insights (consumer insights and trends), with merchandising also involved in decisions around collections and pricing.
• Tailored Adaptation: There is no universal “magic recipe.” Each omnichannel project is unique and depends on the company’s strategy, history, and level of technological and organizational maturity.

Conclusion

Omnichannel retailing is not a luxury but a requirement for competitiveness. It delivers both financial returns and intangible benefits, such as enhanced customer experience and loyalty, creating long-term value.

Ultimately, omnichannel retailing enables businesses to build stronger, longer-lasting relationships with customers, ensuring greater satisfaction and loyalty. At the same time, it streamlines internal dynamics, transforming the company into a more agile and cohesive organization.

Measuring the ROI of an omnichannel strategy requires a holistic approach that combines concrete financial metrics with analysis of strategic, operational, and intangible indicators. It must be recognized as a transformational journey that generates long-term value.

How AI is Helping Fashion Merchandisers Make Smarter, Faster Decisions

By Benito Zaccone, CEO & Co-founder of Intuendi

In fashion, delivering the right product at the right moment is everything, but also, it’s never been harder to get right. 

I’ve spent the last several years working closely with fashion companies across Europe and the US, and what I’ve consistently heard from buyers and merchandisers is that the job has never been more complex. 

Demand is more unpredictable, customer tastes are more volatile, and there is relentless pressure to launch new products, fast and frequently.

At Intuendi, our mission is to empower fast-growing companies, including those in the fashion industry, to meet these challenges head-on, using a combination of AI and human insight to support better decision-making across the buying and distribution lifecycle.

Let’s walk through what that looks like in practice.

The Buying Phase: Making the best bet a year in advance

One of the most challenging aspects of fashion is that you need to plan, purchase and stock your product line almost a year ahead.  

In fashion, forecasting starts long before buyers place their orders. Merchandisers begin building forecasts during the collection development phase, when products exist only as prototypes, and have no sales history. Once the collection is presented in sample form, the sales campaign and buying begins. 

How can a fashion company forecast the sales of a new product? 

I’ve personally been in meetings with seasoned planners at luxury fashion houses where forecasts for the same product differed drastically from one person to another. It wasn’t that anyone was necessarily wrong, some predictions simply turned out to be more accurate than others. The reality is, forecasting demand for a new product remains one of the most complex challenges in the fashion industry. With no historical data to rely on, you’re essentially making an educated guess about what consumers will want a year from now, while trends, preferences, and market conditions can shift in entirely unpredictable ways.

Ok, so which data and metrics do fashion buyers use to forecast sales of products with no history of sales? 

Unlike other industries, fashion companies can’t survive on heritage products alone. Newness drives relevancy. 

While many companies rely heavily on carryover products, especially when certain styles become iconic or consistent bestsellers, no brand can opt out of the high-stakes game of launching new models in the hope they’ll become the next season’s standout. Trends evolve, and brands aim not only to follow them, but to anticipate or even influence them. This dynamic applies across all market segments and customer personas. And a significant portion of the budget, time, resources, investment, and marketing is poured into navigating this inherent uncertainty.

The complexity arises when you realize analyzing and forecasting the demand for a product is not just a matter of style. Guessing wrong when it comes to sizing, assortment, or quantity can mean missed targets, excess stock or lost sales.

This is exactly where smart tools like Intuendi come in. 

Our strategy is simple: learn from the past, but through a qualitative lens. Thanks to the capabilities of AI, we can now analyze the historical performance of products with similar attributes, such as style, fabric, function, color, size, and more. Additionally, we can use that data to forecast the potential success of new items. This approach combines the power of AI-driven modeling with human expertise to deliver more accurate, nuanced forecasts. And it becomes even more sophisticated when we incorporate external factors that influence demand, such as pricing strategies and marketing investments.

How does AI forecasting work?

Let’s move to the practical side: our Product Comparison tool leverages our Intuendi AI to compare new items with similar products that already have a history of sales and sales data to analyse and feed to the algorithm. 

We analyze product attributes like category, material, color, seasonality, and price to detect similarities to new products and then can forecast demand for the new product based on that similar product’s historical demand data and future trends. 

Why is this so valuable? Over the years, we’ve collaborated with numerous fashion companies and observed firsthand just how large and complex their product catalogs can be, often encompassing tens of thousands of items, not including size and color variants. Even when merchandising teams focus only on top-level categories, analyzing historical sales data to generate meaningful insights for future planning remains a time-consuming and resource-heavy task. When done manually or in spreadsheets (which often crash under the weight of this volume), the process can take weeks. With Intuendi’s AI-powered platform, it now takes just minutes to deliver faster, more accurate forecasts at scale.

To give you an idea, a leading Italian fashion brand used our AI to compare around 300 new styles with similar products from previous seasons. When compared with the manual analysis performed by their visual merchandising team, our AI models reached an 82% overlap in similar item detection. That’s not just a technical success, it’s a massive time-saver and a strong foundation for smarter buying.

What are the benefits for fashion brands and retailers?

Long story short, the use of AI in forecasting brings significant benefits across the entire product lifecycle. 

Before buying, AI can help product teams shape new collections and styles by assessing their commercial potential before they even hit the market. 

During buying, it supports buyers in making data-driven decisions on the right quantities to purchase by size, color, and fabric, reducing the risk of over- or under-stocking. 

And during the sales period, AI optimizes merchandise allocation across channels and markets, ensuring that each product reaches the right customers at the right time, maximizing sell-through and profitability.

The Distribution Phase: Inventory that works smarter

Once a season begins, the focus shifts. Now it’s about keeping inventory as healthy and agile as possible. You need to continuously monitor store and warehouse performances, as well as shift stock between locations. This can be a weekly or even daily task as it’s often based on real-time data.

This is where metrics like sales velocity become critical. We help Intuendi clients monitor their sales velocity by easily calculating, for example, the ratio of units sold in the last 15 days versus the last 30 days. With that input, our AI Assistant, Symphonie, recommends how to reallocate stock across your supply chain, from central warehouses to individual stores.

Our optimization tools don’t just suggest what to move, they tell you why, and they let you tweak the logic. That’s part of our philosophy at Intuendi: our AI will assist you, but you stay in full control of your forecast, plan and orders. We give you the visibility and information you need to make smarter, more confident decisions.

Will AI replace specialised fashion professionals?

No, AI won’t replace you, the human in this role. Our goal at Intuendi isn’t to replace human intuition, but instead to strengthen it, to give you the data you need to back up your gut-instincts and your decisions. Fashion is a human-driven industry, shaped by the creativity, intuition, and decisions of designers, manufacturers, distributors, retailers, and customers. When it comes to trends, taste, and creative direction, human sensibility remains central. But it doesn’t have to work alone. Now, the human touch can work brilliantly alongside the insights provided by a platform like Intuendi, creating a powerful collaboration between instinct and intelligence.

Better forecasts, better margins, more sustainable operations

Whether you’re launching a new line, or fine-tuning store allocations, Intuendi gives fashion planners and merchandisers like you more confidence in every decision. Instead of relying on gut instincts, our clients are able to test scenarios, compare options and forecast with clarity and confidence.

Fashion will always have an element of unpredictability. That’s part of what makes it exciting. At Intuendi, we believe our AI-powered technology can make that unpredictability manageable, and yes, even profitable. What we offer is more than just automation. It’s a new rhythm for fashion businesses, one where planning is proactive, not reactive.

If you’re ready to bring more intelligence to your merchandising and buying strategies, we’re here to help. Together, we can make merchandising, procurement and forecasting feel as intuitive as your best instincts, but enriched by AI. We’re here to support you in making smarter, more confident decisions.

Do you have any questions?

Contact us or reach out to Benito and Intuendi team

Fashion buying and merchandising lie at the heart of what we wear, what we see in stores, and how trends become part of our everyday lives. To explore this critical area of the fashion industry, we sat down with Sabrina Compagno, a seasoned fashion buyer and merchandising consultant with over 15 years of experience. Sabrina also teaches aspiring professionals, sharing her insights through lectures and workshops. In this interview, she offers invaluable advice for anyone looking to enter or grow in this dynamic field.

Interview by Anamaria Tushishvili

Sabrina Compagno

is a Fashion Buying & Merchandising Consultant with over 20 years of experience in the luxury and contemporary fashion industry.

She works with both brands and retailers, helping them define product strategy, optimise assortments, and align creativity with commercial goals. Passionate about education, she teaches post-diploma courses and workshops, guiding students to develop both analytical and creative skills to thrive in today’s fast-changing fashion landscape.

Anamaria Tushishvili

Global Headhunter | Executive Search | Recruiting Team Lead for MENA @ BYYD | Founder of TalentVibe

TalentVibe is a leading recruitment agency specialising in beauty, fashion & advertising industries — connecting visionary companies with top talent and helping job seekers land standout roles across MENA & Europe.

Teaching Fashion Buying: Bridging Theory and Practice

Sabrina’s teaching approach blends foundational knowledge with practical application. “In my classes, I teach the basics of fashion buying and merchandising: how to plan collections, understand trends, manage budgets, and analyze sales data,” she explains. Students participate in real-life case studies, simulations, and product assortment exercises. The goal? To equip future buyers with decision-making skills that mirror industry reality.

Key Skills for Today’s Merchandisers

When asked about the most important hard and soft skills for beginners, Sabrina emphasizes data literacy and flexibility. “This job is all about numbers,” she says. “Understanding sales data, managing stock, and being able to act quickly are all critical.” On the soft skills side, teamwork, communication, and adaptability are essential. She encourages students to master tools like Excel, PLM systems, Power BI, and Tableau, which are widely used across fashion companies today.

This job is all about numbers. Understanding sales data, managing stock, and being able to act quickly are all critical

Building a Network: Online and Offline

Networking, Sabrina notes, is easier than ever thanks to digital platforms. “LinkedIn is your best friend,” she says, recommending students create a professional profile and actively participate in webinars and fashion communities. Offline, attending trade shows, showroom visits, and volunteering at events can open doors. “Fashion is all about people and connections.”

Balancing Creativity and Analysis

Is fashion buying more creative or analytical? “It’s 50/50,” Sabrina says. “You can learn numbers, but creativity is harder to teach.” In her classes, she encourages students to build collections based on trend research and sales data, helping them merge instinct with logic. “Understanding both sides is essential to succeed in buying.”

A Day in the Life of a Fashion Buyer

No two days are alike in Sabrina’s role. “Every morning starts with reviewing sales and stock,” she shares. “Then it’s meetings with suppliers, reviewing trends, and aligning with marketing and planning teams.” The work is a mix of analytics, creativity, and cross-functional collaboration, keeping the job dynamic and engaging.

The fashion buyer work is a mix of analytics, creativity, and cross-functional collaboration

How the Industry Has Changed

Reflecting on her 15-year career, Sabrina notes that the industry has evolved significantly. “There used to be more time for personal judgment and relationships. Now everything moves faster, and decisions are more data-driven.” She sees both positives and negatives in this shift, citing improvements in sustainability and efficiency through technology—but also a move away from quality and individuality.

In today’s fashion buying work everything moves faster, and decisions are more data-driven than taste-based.

Starting Out in Fashion Buying

For newcomers, Sabrina suggests a mix of education and hands-on experience. “I started as an assistant designer, then took a buying course at Istituto Marangoni, which led to my first role at YOOX.” She also sees value in retail experience:

“Many buyers start as store assistants. Being on the shop floor teaches you what sells and why.”

Online vs Offline: Different Worlds

Today, Sabrina works in an omnichannel environment. “Offline retail is more about people, emotions, and high operational costs,” she explains. “Online is data-driven, scalable, and sometimes more efficient. The balance between both worlds is where the future lies.”

The Role of AI in Fashion Buying

Artificial intelligence is beginning to influence the role of buyers, Sabrina acknowledges. From demand forecasting to user experience, AI offers new tools, but she cautions against seeing it as a replacement. “It should empower professionals, not replace them. Human intuition and creativity are still irreplaceable.”

AI should empower fashion buying professionals, not replace them

Final Advice for Aspiring Buyers

Sabrina’s advice to her younger self, and to students, is simple yet powerful: “Be curious, ask questions, and don’t rush. Build real relationships and don’t fear the numbers, they’ll make your creative ideas stronger.”

Join Our Upcoming Fashion Buying Masterclass

Inspired by Sabrina’s insights? Later this year, Digital Fashion Academy will host an exclusive Fashion Buying Masterclass, where Sabrina will lead a practical and immersive session on collection planning, data analysis, and trend forecasting.

Stay tuned for dates and registration details, subscribe to our newsletter and follow us on LinkedIn to be the first to know.

Full Interview

What are three hard and soft skills that are necessary to learn and have as a beginner merchandising beginner in the industry? And what digital tools should the students learn nowadays? What is the newest one and important?

That’s a tough question. But you know, usually people think you need to know all the brands and be very focused on that — like who the creative director is, and so on. Of course, that’s important, but in reality, this job is all about numbers.

I would say the key hard skills are understanding data and knowing how collections work. Brands come and go, but numbers stay — they really tell the story and guide best practices. Also, managing stock is crucial. You need to be quick in responding to out-of-stocks and fast in making decisions, because right now, it’s all about inventory and maintaining a balanced stock.

As for soft skills — teamwork is really important. Some merchandisers may work more independently, but in reality, it’s about networking and collaboration. Communication is key — you need to be able to speak to all departments clearly and effectively. And flexibility is essential, because everything is constantly changing. You have to stay adaptable and ready to shift directions when needed.

And you know, I always suggest that they learn Excel — especially at an advanced level. It’s important to be comfortable with PLM systems and other software used to manage collections, as well as data tools like Power BI or Tableau. These tools are widely used in many companies today.

What advice would you give students on how to build strong networking connections, both online and offline? Are there any specific websites or platforms they can explore to connect with professionals from different areas within the fashion industry? How should they approach this? If you could share your suggestions, that would be really helpful.

Today, it’s definitely easier than in the past to make connections — networking has become much more accessible. Right now, the main platform for professional networking is LinkedIn. It’s a social network for careers, and it really works.

Online, I always recommend students to open a strong LinkedIn profile, join fashion webinars, and become part of industry communities. Great platforms include WGSN, Business of Fashion, and others that help you stay constantly updated — because today, every piece of information counts.

Offline, it’s really important to attend trade shows. Wherever you are, try to find relevant events — especially in countries like Italy, the UK, or France, which are central to the European fashion scene. Of course, there are great shows in the US as well. Even helping out at events or attending showroom visits can lead to real opportunities. That’s why I always say fashion is all about good people and strong connections.

Fashion buying seems to include both analytical and creative sides. Which one is more important for building a career in fashion merchandising? And how do you help students develop both skill sets?

That’s also a tough question. Ideally, it would be a 50/50 balance. But I believe that creativity is something you’re born with, while numbers — although difficult for some — can be learned. So, if we had to assign weight, I’d give a slight edge to creativity.

That said, I always help students bridge numbers and creativity. We do exercises where they analyze sales data and then create a visual assortment based on current trends. They take images from the internet to build a sample collection, and then I ask them to explain their choices: Why that style? Why that price? This helps them develop both taste and business sense, which are essential for buying roles.

Could you share what a typical working day looks like for you as a fashion buyer or merchandiser?

Every day is a bit different, but one consistent task is checking sales and stock first thing in the morning. Even if the numbers don’t shift drastically daily, it’s important to track trends — especially toward the end of the week or month when key changes happen.

Then comes communication with suppliers, reviewing trends, preparing and analyzing orders. You also work closely with teams like marketing and planning to ensure the product aligns with the brand and season. So, it’s a constant process of coordination. Overall, it’s a mix of numbers, creativity, and teamwork — and every day brings something new.

With your 15 years of experience in fashion, what major changes have you seen? How did things look in the beginning, and what’s different today? Are there aspects you miss from the past or things you appreciate more now?

Fashion has changed a lot — both in good and not-so-good ways. In the past, there was more time for personal relationships and using individual judgment. Today, things move much faster, and data plays a much bigger role in every decision.

That said, I do appreciate how technology has improved efficiency and made certain processes more sustainable and cost-effective. For example, processes that used to require a lot of financial resources can now be done more quickly and affordably.

However, I feel that we’ve moved away from the human side of the business. Previously, the personality of the designer or the identity of the brand played a much bigger role. Now, trends dominate, and unfortunately, this has led to overproduction and mass consumption.

About 20 years ago, it was more about quality and craftsmanship — especially with “Made in Italy” being a symbol of excellence. Today, many consumers have lost faith in brands, and I think the future will shift toward individuality and personal style rather than mass trends.

So, we’re really looking at three phases: the past, the present, and what’s coming next. And I believe we’re ready for the future.

What advice would you give your younger self? It’s my favorite question for experienced professionals. What would you have done differently, or what would you worry less about?

That’s a lovely question. I would tell my younger self not to stress too much. Things take time, and experience truly shapes your perspective. I’d remind myself to trust the process, stay curious, and be open to change. It’s important to stay grounded, but also to take risks when the opportunity feels right.

And most importantly — always be kind to yourself while learning.

Yeah, so I would tell myself to take time to learn and to ask questions. Always be very curious — and if you don’t know something, don’t be ashamed to ask. You’re young, and your job is to learn. I believe curiosity is truly what drives a career forward.

Fashion often feels very fast-paced, but the best careers grow step by step. Don’t rush just to “be there” quickly, because along the way, major changes often happen unexpectedly.Another piece of advice I’d give is: don’t be afraid of numbers. They actually help you make better creative decisions. And always focus on building real relationships, because often the people you meet along the way become your biggest opportunities.

Want to attend a Fashion Buying online masterclass?

Pre-register now to for the online course that will be held on October 23rd, with Sabrina Compagno.

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Evelina Kaganovitch

Fashion Marketer, Creative Strategist, and Copywriter | Founder of Evelina Kreative
Melbourne, Australia

Evelina helps fashion entrepreneurs craft messaging strategies that convert into high-performing copy for websites, sales pages, ads, emails, and other marketing assets.

But that’s changing. More fashion marketers, creatives, and consultants are beginning to see the importance of creating a polished LinkedIn presence. Even if you’re working in-house for a big fashion brand. And the best part? You don’t need a huge following or endless hours to make it work. You just need a smart, strategic profile that communicates your value.

LinkedIn ranks as a top platform for building authority and generating leads, over and over. And its professional focus and high-ticket audience are unmatched.

Since I updated my own LinkedIn profile last year, I’ve landed 15+ podcast features, dream clients, and built a flourishing network of other fashion professionals – all with under 2,000 followers and less than 1 hour of content creation and engagement per week. 

I’m sharing the exact framework I use to create my fashion LinkedIn profile that turns views into opportunities.

1. Understand Why LinkedIn is Different for Fashion Marketing

Instagram and TikTok may dominate fashion content with ‘normal’ consumers. But LinkedIn is where fashion decision-makers and fashion industry leaders are actively looking for talent, collaborators, and fresh creative voices.

A well structured LinkedIn profile: 

1. Tells other fashion professionals not just what you do, but why they should trust you to do it. 
2. Highlights your creative and professional edge and rewards consistent, clear, and authentic content
3. Positions you as a thought leader in the fashion industry

In fashion marketing, where aesthetics and strategy intersect, your LinkedIn profile can increase your visibility by X21 times and generate X36 more messages.

2. Start With a Clear and Specific Headline

Forget “Marketing Manager” or “Freelance Copywriter.” That’s too generic and broad. Your headline is like a front row ticket to the Celine show. Prime real estate. It appears everywhere (in search, on every comment, and in every conversation) and sets the tone for your profile.

To get this right, try this formula:

[Who you help] + [How you help them] + [Why it matters]

Example: Helping Fashion Course Creators Sell Out Their Launches with Strategic Email Copy + Storytelling

A Hubspot study agrees that profiles with clear, benefit-driven headlines are more likely to attract views. Keep in mind that the headline is what will come straight after your name and what other users will notice when seeing your comments on other posts in their inbox, as well as what pops up first when searching for you.

Your goal is to attract the right kind of attention, using fashion industry language that your dream client or employer instantly relates to.

AI prompt to help you write your LinkedIn headline: 

I am building a LinkedIn profile headline designed to attract [specific audience] interested in [specific outcome or benefit]. My goal is to clearly and effectively showcase my unique value proposition while driving engagement and increasing profile clicks. Create a list of potential LinkedIn headlines that are benefit-driven, concise, and action-oriented. Each headline should highlight one or more of these elements—my expertise/role, the specific audience I help, the value I provide, or the problem I solve. Use engaging language that resonates with [audience’s pain points/desires].

3. Use the About Section to Tell a (Strategic) Story

Think of your About section as your digital runway. Less corporate CV and more engaging storytelling. It’s your chance to connect on an emotional level with your reader while showing you understand your audience’s pain points and ambitions. This is where you get to say, “This is who I am, and this is why I care.”

If you’re stuck, start with a hook, something bold, relatable, or story-driven as your opening sentence.

Then clearly state:

• What you do
• What you do
• Who you help
• What makes you different
• The kind of opportunities you’re open to
• Finish with a clear call to action (CTA) on how someone can get in touch or work with you
  

AI prompt to help you write your LinkedIn About Section:

I am crafting a LinkedIn About section that resonates deeply with [target audience], showcases my unique value proposition, and compels readers to take action. The About section should tell a professional yet engaging story, highlight my core expertise, and demonstrate how I help my audience achieve [specific outcomes]. Ensure the tone is approachable and credible, with a clear focus on benefits while building trust. Start with an engaging anecdote, bold statement, or question that captures the reader’s attention. Include a touch of personality to stand out without sounding overly formal or generic. Make sure the About section follows all LinkedIn best practices, including length and structure, and touches on relevant industry keywords.

4. Your Experience Section Should Reflect Your Specific Fashion Values

For your LinkedIn experience section, even if your background includes roles outside of fashion, tailor each entry to highlight transferable skills that matter in this industry. Campaign strategy, consumer psychology, branding, and digital storytelling – they are all relevant to the fashion industry.💡 Tip: Use bullet points to show results, especially metrics tied to engagement, sales, visibility, or growth (they’re easier to read).

5. Add a Portfolio (Even a Small One) to Your LinkedIn Featured Section

So many fashion recruiters request a portfolio during the job seeking process. Make it easier for them and attach yours directly to your LinkedIn profile. You can upload media to your Featured section.

You can upload things like:

• Campaigns you wrote or styled
• Press coverage you got for your clients
• Strategy decks you created
• Moodboards, lookbooks, or branding guides you made
• Resources, events you’re hosting, or links to work with you

6. Update Your Skills + Get Endorsed By Past Bosses and Clients

The best and fastest way to build trust and authority is to ask your previous employers and clients to write you a testimonial. LinkedIn makes this extremely easy – you can send a request directly to the person to fill out on your behalf. Aim to get at least 3 quality testimonials that confirm your skills (and you can repay the favour by leaving a kind (and honest) review for the other person.  

The skills section is a great mini SEO tool. You can select from a range of skills to display on your profile, which makes it easier for other fashion professionals to discover your profile when searching for someone with your skillset. Include phrases people might search for when hiring or collaborating, like:

• Fashion marketing
• Brand storytelling
• Creative direction
• E-commerce Email copywriting
• Digital fashion strategy

7. Choose a Professional But Warm LinkedIn Profile Photo

How weird is it when you find a faceless profile stalking your profile? Don’t be ‘that’ person. LinkedIn’s 2025 insights show that profiles with human-centered, high-quality pictures receive 21% more profile visits (Linkability, 2025). 

People connect with people. So, show your face to break through any potential resistance that fashion industry professionals feel by not seeing who you are. A professional photo with a friendly smile can do wonders in building trust with a potential student interested in your course. And since you’re in the fashion industry, don’t be afraid to show off your creative personality in the photo.

AI advice to help you: 

If you don’t have a recent headshot, AI tools like Supawork.ai can generate a clean, polished photo from a selfie. 

Aim for:

• A professional but approachable headshot
• Clean background
• Natural lighting
• Styling that reflects your niche (fashion matters here!)

8. Stay True To Your Personal Brand

The best LinkedIn profiles feel cohesive. They have the same tone, same values, same vibe across every section. The look and feel of your profile should match how you show up in real life. So, if someone goes from looking at your profile to meeting you in person, they feel that they’re speaking with the same person.

• Use your brand colours or fonts in visuals
• Keep your messaging aligned with your website or portfolio
• Speak in a tone that matches how you show up in real life

If you’re bold and witty working in a fashion marketing role, let that show in your profile. If you’re thoughtful and analytical and working as a fashion trend forecaster, lead with insight. Consistency builds credibility.

9. LinkedIn Posting Tips For Professionals In Fashion

You don’t need to become a *LinkedIn Creator* or post every day. That’s exhausting. And you are too busy for that. Start with 2-3 posts per week:

• One value post (e.g., industry insight, tip, or strategy)
• One personal story or lesson from your fashion career
• One community-focused or promotional post (e.g., asking for input, sharing a win, announcing your availability)

This balance builds thought leadership, personality, and visibility without burning you out.

This is an educational post to build authority with my audience of fashion business owners on a topic I know is interesting to them.

This is a personal post to build trust with my audience of fashion business owners, with a personal photo from a visit to a gallery

I use monthly content “sprints” to batch these posts in just 2-3 hours. Then I schedule them and let them auto-post while I’m chasing my daughter around the park. That’s how I’ve been able to keep consistent for over a year with posting on my LinkedIn Profile.

10. Messaging That Feels Human Without Giving You The Ick

When someone engages with your content, checks out your profile, or sends you a connection request, that’s a perfect chance to send a thoughtful message that opens a door to connect. Think of messaging as a connection tool, not a cold pitch.

You could say something like this: 

“Hey [Name], loved your comment on my recent post about brand storytelling. Curious to know how you’re approaching this in your current work?”

This opens the door for connection, conversation, and yes, collaboration or hiring (without sounding sleazy).

What Changed After I Updated My Profile

Before LinkedIn, I was posting sporadically on Instagram, hoping the right client would magically appear. When I took the time to build my personal brand and position myself as a key player in the fashion marketing space, the opportunities started coming in, and I was being taken seriously by other fashion professionals. 

I grew my audience from zero to nearly 2,000 fashion professionals in less than a year. For me, it’s not about ‘going viral’, it’s about building slowly and with the right audience of fashion industry professionals. Since investing in my LinkedIn, I have booked 15+ podcast interviews, countless strategy sessions, and collected a full spreadsheet of client leads. And my favourite part has been building a community of like minded fashion entrepreneurs who are also creating exciting projects and businesses all around the world (just like Digital Fashion Academy).

I started hearing:

• “I love how you explain things so clearly.”
• “Your post came at the exact right time.”
• “Are you available for a project?”

I finally feel seen in a way that aligns with the work I love to do.

With just 2–4 hours a month, my network grew from 0 to over 1,900 engaged followers in under a year.

If you want to stand out in fashion marketing, LinkedIn isn’t optional anymore.