Case Study: DoorDash improves pricing accuracy and competitive intelligence with tgndata

DoorDash improves pricing accuracy by 35% with tgndata

DoorDash, a major on-demand delivery platform, faced the challenge of monitoring local pricing dynamics across countless product categories and ZIP codes. They needed to compete effectively with local retailers like Walmart and Target, balance customer affordability with profitability, and eliminate slow, manual competitor monitoring. To address these issues, they turned to tgndata for a pricing intelligence solution.

tgndata implemented a geo-location pricing intelligence platform that enabled DoorDash to automatically track over 26,000 SKUs across more than 84 ZIP codes in real time. This solution provided centralized pricing intelligence, leading to a 35% improvement in pricing accuracy and saving over 40 hours of manual work weekly. With tgndata, DoorDash achieved faster competitive reactions, enhanced geographic pricing precision, and stronger customer trust.

DoorDash