
Demand forecasting is the process of estimating future customer demand using historical sales data, market trends, seasonality patterns, and external factors. It helps businesses plan production, manage inventory levels, and allocate resources effectively to meet anticipated demand while avoiding stockouts or excess inventory.
Modern demand forecasting increasingly relies on machine learning and AI algorithms that detect complex patterns — such as promotional effects, weather impacts, and economic indicators — that traditional statistical methods often miss. Accurate demand forecasting forms the foundation of effective Supply Chain planning, enabling companies to make data-driven decisions about procurement, production scheduling, and inventory allocation across their entire product range.