Merchandising
The planning and management of stock levels, allocation and pricing to maximise sales and margin. Glossary
AI in fashion merchandising: what it does, what it needs and where it fails
Machine learning now supports forecasting, assortment, pricing and planning decisions in fashion. This guide explains the use cases, the data they depend on and how merchants stay in control.
How can AI support range and line planning in fashion?
Range planning decides how many styles, at which prices and in what depth a collection should have. AI can forecast new items and test scenarios, but the creative and strategic call stays human.
How H&M uses AI: demand, allocation and digital twins
H&M has applied analytics and AI to buying quantities, store allocation and pricing since 2018, and to campaign imagery since 2025. What is documented, and what it has not disclosed.
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 merchandisers and planners: a practical guide
How AI supports merchandise financial planning, forecasting, allocation, replenishment and markdowns in fashion, what data it needs, what planners still decide and how to start.