What is retail analytics?

Retail analytics turns raw sales, inventory, customer, space, market data into decisions that lift revenue and margin. Typical use cases: demand forecasting, price/promo optimization, localization, and space productivity. In category, and space workflows, analytics surface decision trees, item affinities, and sales/GM per facing so teams can re-plan assortments, facings, and adjacencies with confidence. Tightly linking insights to planogram and floor-planning tools shortens the loop from see to do.