Case Study: a large grocery retailer in the U.S. saves $4.67M in labor costs with Concurrency, Inc.'s AI demand planning solution

Large Grocery Retailer in the U.S. saves $4.67M in a year with Concurrency, Inc.

A large grocery retailer in the U.S. was struggling with excess labor costs due to a demand forecast that failed to account for weather patterns and other factors influencing customer shopping behavior. To address this challenge, they partnered with Concurrency, Inc. for an AI demand planning solution.

Concurrency, Inc. seamlessly integrated key weather patterns into the retailer's existing demand planning system, which then fed into their Kronos labor capacity planner. This fully automated solution was implemented in just four weeks and resulted in substantial savings of $4.67 million in the first year through reduced labor costs.