Case Study: a large grocery and supermarket improves labor efficiency and checkout throughput with Agilence

Boosting Grocery Productivity And Profits

Agilence worked with a large grocery and supermarket operator looking to improve labor efficiency, reduce operational costs, and prevent margin erosion across store operations. The customer needed a better way to identify where inefficiencies were occurring, from register staffing and department coverage to checkout issues that were slowing throughput and hurting the customer experience.

Using the Agilence data analytics platform, the grocer analyzed sales trends, POS errors, and manager override times to pinpoint labor bottlenecks and process problems. The insights led to better cashier scheduling, fixes for pricing and product file issues, and improved override policies, helping the company increase throughput without adding labor and avoid roughly $52,000 per year in labor costs tied to manager override delays.