Case Study: National Supermarket Chain achieves $200M profit lift with SymphonyAI Retail AI

National supermarket chain drives $200M in profit with vertical AI for retail

National Supermarket Chain, one of North America’s largest grocery retailers, was struggling to turn massive amounts of customer and operational data into actionable merchandising decisions. Working with SymphonyAI, the company needed a better way to manage pricing, promotions, shelf planning, and assortment decisions across fragmented tools and time-consuming manual workflows.

SymphonyAI implemented its CINDE retail AI platform to embed retail-specific AI into the retailer’s merchandising processes, helping the team make faster, data-driven decisions and optimize promotions with greater precision. The results included a 3.5% increase in sales, an 11% improvement in on-shelf availability, 98% inventory accuracy, and $200 million in incremental profit.