A retailer with a vast network of stores was using a static, one-size-fits-all pricing strategy across all locations. This approach failed to account for significant local variations in competitor pricing, consumer demand, and socioeconomic factors. As a result, they were losing sales in highly competitive zones and leaving money on the table in less competitive, high-value markets.

We designed a sophisticated pricing framework that combined advanced econometrics and geospatial data science. Our methodology allowed the client to move beyond static pricing to a dynamic, location-specific strategy that responded intelligently to local market conditions.

We delivered a powerful dashboard that provided dynamic pricing recommendations tailored to each store's unique market conditions. The tool enabled the client's team to visualize local competitor activity on a map, simulate the impact of pricing changes, and confidently implement a data-driven pricing strategy that significantly boosted their profitability.

Our solution transformed the client's pricing strategy from reactive to strategic, unlocking a +10% increase in gross margin and providing a significant competitive advantage.