Case Study: Real-Time Forecasting for Grocery Demand with Hierarchical Probabilistic Models
Abstract
A national grocer deployed hierarchical probabilistic forecasts for 4,900 stores with cold-start priors and causal covariates. Stockouts dropped 12% and waste reduced 8% over a 10-week pilot.
Cite this article
Chatterjee, R. (2025). Case Study: Real-Time Forecasting for Grocery Demand with Hierarchical Probabilistic Models. Research Explorations in Global Knowledge & Technology (REGKT), 3 (8). Retrieved from https://regkt.com/article.php?id=156&slug=case-study-real-time-forecasting-grocery-demand-hierarchical-probabilistic