Case Study: a leading supermarket chain achieves higher forecast accuracy and lower inventory with Verteego

Leading Supermarket Chain - Customer Case Study

A leading supermarket chain franchise business with over 1000 points of sale faced significant challenges with inventory management during its 300+ annual promotional campaigns. Their reliance on Excel led to low-accuracy forecasts, and generic recommendations from headquarters caused widespread overstocking issues across its network. To solve these storage problems and optimize its operations, the supermarket chain partnered with Verteego.

Verteego implemented its AI platform, which processed a four-year history of data including promotions, product details, and store characteristics to generate accurate forecasts. The Verteego solution accounted for key constraints, such as a high number of new products and difficult-to-predict buying behavior. This resulted in a 35-point increase in unit forecast accuracy and doubled the number of stores achieving a resale rate greater than 60%, substantially reducing overstock for the supermarket chain.