Europris Achieves Significant Forecast Accuracy Improvements with RELEX  

Leading Norwegian retailer uses ML-based forecasting to save 10 hours weekly maintaining promotion forecasts  

Europris, Norway’s leading variety discounter, has achieved significant forecasting improvements after implementing AI-driven forecasting capabilities from RELEX Solutions. Following the migration to machine learning (ML)-based forecasting, Europris has improved forecast accuracy and shifted planner focus from manual data entry to strategic decision-making. 

With more than €900 million in annual sales and stores across Norway, Europris needed to improve forecast accuracy while reducing the time planners spent creating and maintaining manual campaign forecasts. The manual processes limited the team’s ability to respond quickly to market changes and prevented planners from focusing on strategic initiatives. 

By implementing RELEX across its full product assortment, Europris introduced automated forecasting. RELEX forecasting capabilities automatically account for promotions, price changes, and seasonal patterns, helping Europris forecast demand more accurately while maintaining optimal stock levels and reducing campaign overstock.  

The results include: 

• 10 hours saved each week maintaining promotion forecasts 
• +30 percentage points improvement in promotion forecast bias % vs. manual forecasts 
• +11 percentage points improvement in forecast bias % 
• +4.5 percentage points improvement in 1-SWAPE product-location week level 

“The forecasts in Europris have never been better,” said Marco Pair, Supply Chain Manager, Europris. “We are spending far less time maintaining promotion forecasts, reducing overstock of campaign items, while still maintaining the same high campaign availability as before”. 

The implementation advances Europris’ digital transformation strategy. By automating routine forecasting tasks, the Europris planning team can now focus on optimizing promotions, responding to market shifts, and ensuring products reach customers efficiently. 

“Europris’ results show the tangible impact of machine learning when it is deeply embedded in day-to-day retail planning,” said Tiina Kanninen, SVP, Global Customer Success, RELEX Solutions. “By automating routine forecasting tasks and improving accuracy, the Europris team can focus their expertise where it delivers the greatest business value, planning better promotions and ensuring products reach customers efficiently.”