AI for Fashion Executive Master

This module introduces participants to the fundamentals of Artificial Intelligence within the context of the fashion industry. It covers core concepts, practical applications, governance frameworks, and real case studies to build a solid foundation for understanding how AI is transforming fashion business models and operations.

• Opening session: Why AI matters in fashion today (context, megatrends, expectations)
• What is AI? History, definitions, myths, real-world examples
• AI vs ML vs Generative AI vs Automation – simplified frameworks for non-technical users
• The role of data: structured vs unstructured, fashion-specific datasets
• Talking to AI: essential guide to prompts and Natural Language Processing
• Governance, legal, and ethical frameworks shaping AI in fashion (EU AI Act, IP, privacy)
• Opportunities and risks: ethics, bias, IP, and sustainability implications

Case Studies

• Essential features and implementation approach of AI in a leading luxury group
• How leading brands (luxury, fast fashion, sportswear) are experimenting with AI

This module explores how AI is reshaping creativity and product development in the fashion industry. Participants learn how generative tools support design workflows, trend forecasting, and virtual product creation, with practical labs to apply these technologies hands-on.

• Product design with AI tools (generative AI for sketches, moodboards, fabrics)
• Trend forecasting with AI: data sources and algorithms
• Generative AI and the future of creative direction (fashion shows, campaigns, metaverse)
• Virtual product development and digital twins
• Tools: AI for design moodboards (MidJourney, Stable Diffusion demos)
• Case study: TBD

Practice Labs

• Hands-on lab using a generative tool to create a moodboard | Discussion forum
• Hands-on lab using a generative tool to create a product

This module focuses on how AI enhances operational efficiency across the fashion supply chain. Participants explore applications in forecasting, production, logistics, sustainability, and circularity, supported by real-world case studies and practical analysis exercises.

• Supply chain optimization (demand forecasting, inventory optimisation, waste reduction, DPP compliance)
• Digital content factory with AI: photography, video, and image generation
• AI in sourcing and production: quality control, defect detection
• Logistics, distribution, and return management with AI
• AI for sustainability: materials innovation, waste reduction, recycling
• Circular business models enabled by AI
• AI in material innovation and sustainability (traceability, circularity, new fabrics)

Case Studies & Practice Labs

• Case study: How to improve delivery timeframes and reduce cost with predictive sales in ecommerce logistic warehouses
• Practice lab: Process analysis — optimisation of a logistic flow with automation and AI
• Case study: Textile recycling | Debate on ethical AI in fashion

This module examines how AI transforms merchandising, retail operations, and ecommerce. It covers intelligent pricing, demand prediction, personalization, conversational commerce, and behind-the-scenes AI systems that power modern retail.

• Merchandising: assortment planning, smart pricing, competitive intelligence
• Retail: demand prediction, price monitoring, retail automation
• E-commerce personalization (chatbots, recommendations, virtual try-on)
• From product to stories: the era of conversational commerce
• AI under the radar: payments, security, transaction processing
• Case study deep dives: Zara, Gucci, Nike, SHEIN, Farfetch

Practice Labs

• Creating a collection plan with AI
• Monitoring competitors with AI tools
• E-commerce automations practice

This module provides a clear overview of how data becomes a strategic asset in the fashion industry. Participants will explore the full data lifecycle, business intelligence, predictive analytics, and cross-department applications of AI, ending with a practical data-flow design exercise.

• The data lifecycle: from collection to data-driven decision making
• Analytics & Business Intelligence: metrics, KPIs, and predictive intelligence
• Finance: use of AI in financial analysis, budgeting, forecasting
• Human resources: AI and data to improve people performance

Practice Lab

• Design the data flow for one of your company’s key processes

This module explores how AI transforms brand storytelling, marketing strategy, communication workflows, and customer experience. Participants learn how to plan and optimise campaigns for algorithms, measure performance with advanced analytics, and apply AI tools across content creation and CRM.

• Marketing & communication: planning, producing, and optimising campaigns for algorithms
• Marketing analytics: measuring performance with marketing mix modelling and AI
• AI in customer experience: loyalty, clienteling, predictive CRM

Practice Labs & Tools

• Practice lab: Prompt engineering 101 (how to talk to AI tools effectively)
• Tools: AI for copywriting & product descriptions (ChatGPT, Jasper, Writesonic)
• Workshop: Optimising website content for LLMs and chatbots — product descriptions, collections, landing pages

Case Studies & Workshops

• Case study: AI-generated digital advertising campaigns
• Workshop: From moodboard to campaign — creating a cohesive creative concept with AI
• Practice lab: Creating an AI campaign in Google Ads

This module provides a practical understanding of how AI systems are designed, integrated, and deployed within fashion businesses. It covers technical foundations, project management methodologies, vendor selection, and cybersecurity best practices, followed by hands-on implementation exercises.

• Essential notions of AI systems: platforms, cloud, APIs, integration
• AI project management: Agile and prototyping approaches (MVPs, pilot projects)
• Selecting and managing AI solutions and vendors
• Company cyber security: tools, best practices, and culture

Workshops & Learning Activities

• Workshop: Group exercise building an “AI opportunity map” for a fashion business
• Learning activities: hands-on lab prototyping an AI use case | Mentor check-in

This module looks ahead at how AI will shape future roles, organisations, and strategies in the fashion industry. Participants explore Human+AI collaboration, learn how to design an AI roadmap, and work on a final project to apply all concepts learned throughout the program.

• Human + AI collaboration: future skills for managers and creatives
• Roadmap design: how to introduce AI step by step in a fashion business
• Final project workshop: designing an AI adoption roadmap (group/individual work)
• How organisations change with AI — a new organisation chart
• Presentations, wrap-up & certification