Case Study: a leading retailer company achieves 116% profit margin growth with Shelf Engine

How Shelf Engine Increased a Top Retailer’s Profit Margin by 116%

The Leading Retailer Company, a major national grocer, faced significant challenges with unpredictable sales and high spoilage rates in its perishable goods departments. Their existing manual ordering system was plagued by human bias, leading to out-of-stock items and a shrink rate of 27% for deli sandwiches. This resulted in missed sales opportunities and substantial profit loss.

Shelf Engine implemented its intelligent forecasting and ordering platform for the retailer. Their solution utilized machine learning to create perfect orders for each SKU, guaranteed sales to eliminate the retailer's inventory risk, and deployed a field team for optimal merchandising. This approach led to a 116% increase in profit margins across 458 stores. Shelf Engine’s solution also generated a projected $29.1 million in annual enterprise value for the retailer by drastically reducing waste and increasing sales.