Case Study: Leading Middle Eastern Grocery Retailer Company achieves 21% inventory reduction and 9% fewer out-of-stocks with Algonomy's Order Right

Middle Eastern Grocery Retailer Projects $60M Savings in Inventory Costs after Lowering Inventory Levels by 21%

Leading Middle Eastern Grocery Retailer Company, a major Middle East retailer operating 300+ stores across supermarkets, hypermarkets, convenience and wholesale formats, needed an enhanced demand forecasting and replenishment framework to better predict daily and monthly inventory needs. The retailer sought to cut inventory cost by 20% without jeopardizing availability and found its existing traditional planning tools unable to capture dynamic demand shifts from changing consumer behavior and channel complexity. Algonomy’s Order Right demand forecasting and replenishment solution was selected to address this gap.

Algonomy configured Order Right within two weeks of data integration and deployed its retail‑native ensemble (2,000+ algorithms) to forecast demand and optimize replenishment across 200+ categories in three high‑impact departments (grocery salt, confectionery, personal care). As a result, the customer automated replenishment on a single platform, reduced inventory levels by 21%, cut inventory cost by $202,900 in the flagship store (with a projected $60 million organization‑wide reduction) and reduced out‑of‑stock instances by 9%, while improving overall availability.