Personalisation
How does AI personalisation work in fashion e-commerce?
Recommendations, ranked listings, size advice and conversational assistants all rely on the same thing: clean customer and product data. A practical guide to what works, what it costs and where the limits are.
How Zalando uses AI: the assistant, personalisation and size advice
Zalando has put AI into search, discovery and fit. What it built, how the data and models fit together, which results it has published and what remains unproven.
How Nike uses AI: direct-to-consumer data and generative product creation
From demand sensing for its own channels to AI-generated footwear concepts and an AI shopping beta, what Nike has built, what it has disclosed and what changed under new leadership.
How Stitch Fix uses AI: algorithms plus human stylists
Stitch Fix pairs recommendation algorithms with about 1,700 part-time stylists, and has added generative AI tools such as Vision. How the hybrid model works and what the numbers show.
AI for fashion e-commerce managers: a practical guide
Where AI helps fashion e-commerce managers with search, personalisation, product content, size advice, service and merchandising, what data it needs, legal duties and a 30-day starting plan.
AI in sportswear: how it shapes performance product, community and demand
Sportswear brands combine technical product, athlete storytelling and huge launch volumes. AI helps in design, content and demand, but performance claims and athlete data raise the bar.