Case Study: CPG Major Company reduces stockouts to under 1% and maximizes sales with EzappSolution

CPG Profit Maximization

CPG Major Company faced frequent out-of-stock SKUs and missed sales due to weak forecasting and fragmented, noisy supply-chain data across on‑prem and cloud systems. They engaged Ezappsolution to deliver demand forecasting and an operating model to predict SKU demand, improve demand sensing, and reduce missed sales opportunities.

Ezappsolution ingested data from AWS S3 and on‑prem sources into Databricks, sanitized and aggregated it at the retail-account level, and deployed an ensemble of forecasting models (ARIMA/SARIMAX, Prophet, XGBoost and deep learning approaches) to capture seasonality and supplier refill variability. The solution optimized sales planning and reduced retail stock-outs to under 1%, materially improving demand prediction and minimizing lost revenue.