Case Study: Supermercados Peruanos achieves 90-95% forecast accuracy for ultra-fresh foods with Blue Yonder Luminate Demand Edge

Supermercados Peruanos Achieves Accurate, Low-Touch Daily Forecasting

Supermercados Peruanos, founded in 1993 and the largest supermarket chain in Peru with 600 stores, faced persistent difficulties forecasting demand for fresh and ultra‑fresh foods. Planners relied on manual, decentralized Excel-based processes that couldn’t account for complex, retailer-specific factors—like price, cannibalization, seasonality, store closures and weather—leaving the chain exposed to waste and lost customer loyalty, a problem made stark by the pandemic.

Partnering with Blue Yonder to deploy Luminate Demand Edge (cloud-native on Microsoft Azure) introduced AI/ML-driven, low‑touch daily forecasting that combines internal data with external variables to produce risk‑aware probabilistic forecasts. The automated solution boosted accuracy from roughly 65–70% to 90–95% for some products, reducing waste, improving service and profitability, and driving a cultural shift from manual analysis to strategic planning.

Supermercados Peruanos