Data
Data strategy for AI in fashion: what to fix first
Most fashion AI projects stall on data, not algorithms. Here is which data matters most, what to fix first and how to make product, inventory and sales data ready for AI.
What is demand sensing and how does it work in fashion?
Demand sensing updates short-term forecasts with the latest sales and external signals. In fashion it mainly improves in-season decisions: replenishment, transfers and markdowns.
Why is sell-out data essential for AI in fashion wholesale?
Brands that sell through retailers see what they ship, not what consumers buy. Sell-out data closes that gap, and without it most AI forecasting for wholesale works half blind.
What makes a wholesale business AI-ready?
AI readiness in fashion wholesale is less about algorithms than about structured product, order and partner data, clear ownership and processes that capture why buyers decide.
How does AI customer segmentation work for wholesale accounts?
Static A, B and C tiers miss how retail partners actually behave. AI segmentation groups accounts by buying patterns and potential, if the data and governance are right.
How Inditex uses AI and data: RFID and a demand-driven supply chain
Inditex's edge rests on item-level RFID data, integrated stock and production close to home. Where AI now enters, what results are public and what remains undisclosed.
How Levi Strauss & Co. uses AI: the data programme and its lessons
Levi Strauss & Co. trained its own staff in machine learning, stumbled with AI models in 2023 and is now rolling out agents for employees and shoppers. What the programme shows.
How Uniqlo and Fast Retailing use AI and data in the Ariake Project
Fast Retailing's Ariake Project aims to make and sell exactly what customers want, when they want it. How AI, shared data and automated warehouses fit in, and what the group has disclosed.
Sell-in vs sell-through: the two numbers every brand should watch
Sell-in tells a brand what retailers bought. Sell-through tells it what consumers actually took home. Reading the two together reveals the true health of a wholesale business.
The wholesale KPIs that actually matter
Wholesale teams can measure almost anything. The useful KPIs are the ones that explain revenue quality, account health and execution, and that lead to a decision.
Is your data ready for AI? A readiness check for fashion brands
Most AI projects in fashion stall on data, not algorithms. A practical readiness check across product, customer, order and stock data, with the fixes that matter most.
Retail metrics explained: sell-through, GMROI and weeks of cover
Three metrics answer most questions about how fashion stock is performing. How to calculate sell-through, GMROI and weeks of cover, and read them together.