Case Study: a leading privately-held regional grocery retailer improves KVI pricing responsiveness with Datasembly

KVIs, Real-Time Competitive Data for the Win

The customer, a leading privately-held regional grocery retailer, struggled with slow and insufficient competitive pricing data. They were losing millions by keeping prices for key value items (KVIs) like milk and eggs too low for too long after competitor Walmart made adjustments. They turned to Datasembly to gain an advantage with more timely and granular market intelligence.

Datasembly provided its daily KVI data via an API export, enabling the grocer to rapidly track and react to Walmart’s pricing changes. This solution allowed for quicker price adjustments, activating their competitive strategy. The data revealed that small price changes of just 5-10 cents per carton at their most competitive locations translated to millions of dollars in annual revenue.