Case Study: Fortune 500 CPG Company boosts weekly sales 6% with Tredence product assortment optimization

Built Product Assortment Framework to Optimize Product Mix and Maximize Sales for a Fortune 500 CPG Company

Tredence worked with a Fortune 500 CPG Company that was experiencing steep sales declines and frequent out-of-stock situations due to the lack of an optimal product mix across stores. The customer needed an analytical assortment framework to determine the right products for each store, improve sales, and maximize profitability.

Tredence implemented a data-driven assortment optimization solution by consolidating data into a warehouse, preparing an analytical data layer, classifying stores by product potential, and applying regression and correlation models to guide assortment decisions. The solution helped identify product affinities and recommend the best store-level mix, resulting in a 6% increase in weekly sales at the SKU level.