RELEX Solutions
Case Studies
AI-Based Demand Planning Boosts Forecast Accuracy and Sales for One Stop
Overview
AI-Based Demand Planning Boosts Forecast Accuracy and Sales for One StopRELEX Solutions |
Analytics & Modeling - Machine Learning Sensors - Level Sensors | |
Equipment & Machinery Retail | |
Logistics & Transportation Sales & Marketing | |
Demand Planning & Forecasting Inventory Management | |
Data Science Services | |
Operational Impact
Within just four months of implementing AI-driven demand forecasting in their stores, One Stop saw major improvements. The retailer drove a significant increase in forecast accuracy on both the product-week level and the product-store-week level. This increased forecast accuracy improved replenishment outcomes as well. By automatically drawing more accurate store-level demand forecasts into replenishment planning, RELEX improved One Stop’s in-store availability across their entire assortment while contributing to a significant sales increase. The company saw even larger improvements to availability in weather-sensitive products such as ice cubes, which had once been among their most challenging categories to forecast. Despite complex forecasting scenarios, the results showed improvements in day-level forecast accuracy for products with weather-driven demands, cannibalization, and fresh products' availability without spoilage corresponding. | |
Quantitative Benefit
3.2 pp increase in forecast accuracy on product-week level | |
1.8 pp increase in forecast accuracy on product-store-week level | |
8.5% increase in ultra-fresh product availability without significant increase in spoilage | |