Retail AI Product Mix Optimization
AI analyzes shopper behavior, store performance, and channel data to optimize which products are offered, where, and at what depth of assortment across stores and ecommerce. It orchestrates recommendations, personalization, and retail media to present the right products to each customer while maximizing margin, basket size, and inventory turns. Retailers gain higher revenue and profitability with leaner assortments and more relevant shopping experiences across omnichannel touchpoints.
The Problem
“Optimize retail assortment and recommendations to grow margin and inventory turns”
Organizations face these key challenges:
Over-assortment drives inventory bloat, markdowns, and low turns
Under-assortment causes stockouts, lost baskets, and substitution to competitors
Store-level and channel-level decisions rely on spreadsheets and outdated planograms
Personalization and retail media spend are not aligned to margin, inventory, or availability