Case Study: Atria achieves 98.1% weekly forecast accuracy and 13% fewer manual forecast changes with RELEX Solutions' AI-powered demand planning

Atria AI-Powered Demand Planning Accuracy in Consumer Goods Manufacturing

Atria, one of Finland’s largest meat suppliers and a leading food company in Northern Europe, faced a highly complex supply chain: short product shelf lives requiring accurate day‑level forecasts, long upstream lead times for breeding, pronounced seasonality, and frequent retailer assortment and promotion changes that demanded granular, multi‑horizon planning across ~2,000 SKUs.

To address this, Atria deployed RELEX’s unified demand planning platform and added machine‑learning forecasting. The solution replaced two custom tools, improved week‑level forecast accuracy to 98.1%, cut manual forecast changes by 13%, automatically detects step‑changes in demand, stabilized forecasts after sales peaks, and enabled use of external retail data — improvements that supported rollout to additional countries.

Atria

Tapani Potka

SVP, Delivery Chain Management