Case Study: a large c-store operator achieves 10X ROI and higher gross profit with ClearDemand Price Optimization

Large C-Store Operator Company - Customer Case Study

ClearDemand worked with a large c-store operator with 450 stores to address challenges in meeting profit goals, improving competitive positioning, and overcoming operational complexities with limited data analytics.

The solution from ClearDemand involved analyzing 109 million transactions to build a predictive consumer demand model and conducting a 12-week test rollout that adjusted prices on 171 SKUs. This resulted in a 10x return on investment, a $74,140 annual gross profit increase from the targeted categories, and a 1.9% average weekly revenue lift per store while maintaining unit sales.