Product Demand Prediction Model

The Challenge

Inaccurate demand forecasting led to inventory inefficiencies and stockouts.

The Solution

Developed a predictive model using historical sales data and external variables (holidays, promotions, macroeconomic indicators) to forecast demand more accurately.

The Technology

Role: Data Lead

Client: Kapa Oil Refineries Ltd.

The Impact

Helped optimize inventory levels and reduce stockouts by improving demand forecasting accuracy.