Buying and Merchandising online course

Introducing Buying and Merchandising in Fashion

Understanding the role of buying and merchandising — and why it matters now

• Overview of the fashion industry: business models, value chain and digital transformation
• Why buying and merchandising matter in fashion today: megatrends, competitive pressure and expectations
• What are buying and merchandising? Core concepts, processes and real-world fashion examples
• Buying, merchandising, planning and trading – simplified, non-technical frameworks
• Core concepts: assortment planning, product mix, stock flow and sales performance
• The role of data: structured vs unstructured data and fashion-specific datasets
• Case studies: how luxury, fast fashion and sportswear brands are managing buying and merchandising

Governance, Ethics & Risk

• Planning and decision-making fundamentals
• Governance, commercial and ethical frameworks
• Opportunities and risks: markdowns, stock imbalance, sustainability and brand protection
• Case study: buying and merchandising implementation approach in a leading luxury group

Practice Lab: Creating a buying and merchandising job description for a fashion business

Buying and Merchandising in Product Planning from Trend Forecasting to Range Building

Commercial creativity supported by data

• Trend forecasting: data sources, signals and commercial interpretation
• Product planning and range building: assortment strategy, hierarchy and depth
• The future of creative direction: fashion shows, campaigns and consumer expectations
• Virtual product development, digital twins and product lifecycle management

Tools & Practice

• Tools for trend analysis and range planning
• Practice lab: creating a commercial moodboard and assortment direction
• Practice lab: generating a product concept and peer discussion

Applications for Supply Chain optimisation from demand forecasting to stock management

Efficiency, resilience and sustainability powered by better planning

• Demand forecasting and inventory optimisation
• Digital content operations and product imagery management
• Sourcing and production: quality control and defect detection
• Logistics, distribution and returns management
• RFID and Internet of Things
• Smart logistics: automated warehouses, packing systems and delivery optimisation
• Sustainability: materials innovation, waste reduction and circular business models

Case Studies & Labs

• Reducing delivery times and logistics costs with predictive sales
• Textile recycling and ethical decision-making in fashion (debate)
• Practice lab: redesigning a logistics flow using automation and planning tools

The impacts of buying and merchandising across sales channels: Retail, Wholesale, E-commerce, Marketplaces

From products to personalised experiences

• Merchandising: assortment planning, smart pricing and competitive intelligence
• Retail innovation: demand prediction, price monitoring and store automation
• E-commerce personalisation: chatbots, recommendations, virtual try-on and dynamic pricing
• Conversational commerce and storytelling
• Visual search and product discovery
• Invisible technology: payments, fraud prevention and transaction security

Case Studies & Labs

• Deep dives: Zara, Gucci, Nike, SHEIN, Farfetch
• Practice lab: building a merchandising plan
• Practice lab: competitor monitoring with tools
• Practice lab: e-commerce automation workflows

How to manage data to enable better buying and merchandising decisions in fashion companies.

Turning data into competitive advantage

• The data lifecycle: from collection to insight and action
• Analytics & Business Intelligence: KPIs, dashboards and predictive intelligence
• Finance: budgeting, forecasting and financial analysis
• Human Resources: using data to improve people performance

Practice Lab: Designing the data flow for a key business process

How buying and merchandising support brand storytelling, marketing strategy, communication workflows, and customer experience

Marketing for algorithms — and for humans

• Marketing strategy and planning in the age of algorithms
• Marketing analytics and marketing mix modelling
• Customer experience, loyalty, clienteling and predictive CRM
• Content creation and virtual influencers

Tools, Workshops & Labs

• Prompt Engineering 101
• Tools for copywriting and product descriptions
• Workshop: optimising website content for search and chatbots
• Case study: personalised advertising campaigns
• Workshop: from moodboard to campaign
• Practice lab: creating a Google Ads campaign

How digital systems are designed, integrated, and deployed within fashion businesses.

Technical foundations, project management methodologies, vendor selection, and cybersecurity best practices, followed by hands-on implementation exercises.

• Systems explained: platforms, cloud, APIs and integrations
• Project management: Agile, MVPs and pilot projects
• Building the business case: ROI, KPIs and performance measurement
• Selecting and managing vendors
• Cybersecurity, governance and company culture

Workshop: Building an Opportunity Map for a fashion business

Hands-on Lab: Prototyping a use case with mentor feedback

How buying and merchandising will shape future roles, organisations, and strategies in the fashion industry

Participants explore Human+Digital collaboration, learn how to design an adoption roadmap, and work on a final project to apply all concepts learned throughout the program.

• Human + digital collaboration and future skills
• Designing an adoption roadmap
• Organisational change: roles, skills, governance and culture

Final Assignment – Buying and Merchandising Roadmap

• Company context and challenges
• 2–3 priority use cases
• Selected tools and technologies
• Implementation roadmap (short, medium and long term)
• Risks, governance framework and required skills