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Data Analytics · Retail
Predictive Inventory Model Saves $1.2M in Annual Overstock
The Challenge
A mid-market online retailer was losing revenue to both overstocking slow-moving SKUs and running out of bestsellers during peak seasons, with no data-driven approach to forecasting.
Our Solution
We implemented a predictive analytics platform with custom dashboards, demand forecasting models, and automated reorder triggers — integrated directly into their existing ERP and warehouse systems.
Key Results
$1.2M
Annual savings from reduced overstock
73%
Stockout rate reduction
89%
Forecasting accuracy improvement
