Consumer demand forecasting estimates what customers will buy in future by analysing historical sales, seasonality, promotions, price changes, macroeconomic factors and competitor actions. Consultants may segment customers, test different price and promotional calendars, and build dashboards that supply chain, finance and sales can all use. This is critical because under-forecasting leads to stock-outs and lost revenue, while over-forecasting ties up working capital and pushes up holding costs. A transparent, assumption-based forecast allows management to stress-test and adjust quickly when conditions change. It turns demand planning into a cross-functional, data-led activity.
Frequently Asked Questions
How can demand forecasting reduce operational costs?
