Promotional Lift Forecasting

A multinational grocery retailer, Auchan Retail International, deployed a LightGBM-based promotional forecasting model across 22 hypermarkets in Ukraine, as documented in a 2025 Towards Data Science case study. The model ingested promotional pricing, display attributes, and historical sales data to generate daily store-SKU-level demand forecasts up to 55 days ahead. Within one year of deployment, the system achieved an 18% reduction in overstock and stockout incidents at the national level, a 15% improvement over previous demand planner forecasts, and saved over 30,000 planner hours annually. The model was subsequently extended to Romania and France, demonstrating cross-market adaptability with minimal reconfiguration.

In the CPG sector, a global beverage manufacturer working with the Eversight platform achieved 10% to 25% improvement in sales volume by using AI-powered offer testing and optimization across more than 1,500 product groups on 50 retailers and digital platforms, according to NielsenIQ Partner Network data. Separately, a 2024 case study cited by a retail analytics publication documented a consumer goods company that moved from manual planning to automated, predictive analytics-based trade promotion planning over a 10-week period, resulting in a 16% surge in trade investment ROI. These implementations underscore that promotional lift forecasting delivers the strongest returns in high-frequency promotional environments such as grocery, beverages, and personal care, where the volume of SKU-promotion combinations exceeds human analytical capacity.