Assortment Planning & Optimization
From use case: Assortment Planning & Optimization
Leading retailers report significant operational and financial gains. A global optical retailer used AI to unify box and brand planning, streamlining processes, improving replenishment accuracy, and increasing top-line growth. A multinational apparel chain improved revenue and gross margin through localized assortment and size optimization, using AI to customize offerings by region and store type.
McKinsey says it worked with one online grocery retailer to reduce SKU count by 36%, lowering operational costs, while still boosting sales 1–2%. The right mix can increase sales by 2–5% and margins by 5–10%.
Fresh Market, a specialty grocery chain, applies AI with computer vision to analyze shopper behavior across 166 stores, improving availability by predicting out-of-stocks and optimizing supply chains in real time. Gartner project retailers adapting assortments to local events will see 20% higher conversion rates.