Predictive Analytics Engine
The Challenge
The retailer was losing millions annually to inventory mismanagement — overstocking slow-moving products while running out of high-demand items. Their existing reporting was retrospective, not predictive.
Our Solution
Bella Tech built a custom ML-powered demand forecasting engine that analyzed historical sales data, seasonal trends, local events, weather patterns, and supply chain lead times. The system generates per-store, per-SKU demand forecasts and automated purchase order recommendations via Airflow-orchestrated pipelines. Delivered as a web dashboard integrated with their existing POS and ERP systems.
The Results
Inventory carrying costs reduced by 22%. Stockout incidents dropped 60%. The system paid for itself within 4 months. The retailer now uses the platform to plan promotions and new store inventory with data-driven confidence.