Case Study: Leading Middle East Retailer achieves 95% forecast accuracy, 12% inventory sell‑thru lift and $20M sales-loss averted with Algonomy

Leading Retailer in the Middle East - Customer Case Study

Leading Retailer in the Middle East, a multi‑billion multi‑format retailer operating 500+ stores across 17 countries, faced margin erosion and loss of potential sales from faster stockouts, over‑ and under‑stocking, and inaccurate forecasting. The customer engaged Algonomy to tackle these merchandising planning and operations challenges using Algonomy’s Merchandise Analytics / Algorithmic Merchandising Platform.

Algonomy implemented ensemble ML‑based sales forecasting, a markdown optimization engine, and inter‑store transfer recommendations to create algorithmic merchandising workflows. Algonomy’s solution raised forecast accuracy to 95%, increased inventory sell‑thru by 12%, reduced excess inventory by 30%, enabled $6M+ in additional inter‑store transfers and helped avert roughly $20M in potential sales loss in a year.