Logistics concept
Demand forecasting
Translate available information into a well-founded expectation of future demand.
Demand forecasting, also known simply as forecasting, is estimating future demand for products or services. To do this, you combine historical data with information about, for example, seasonality, promotions, and market trends. A forecast is not a certainty or a sales target, but an expectation that you continually test against reality.
In practice, forecasting supports decisions regarding purchasing, production, inventory, and staffing capacity. Choose a level of detail and a time horizon that match the decision being made. Distinguish true demand from recorded sales: during stockouts, sales may fall short of actual need. In addition to the magnitude of errors, measure whether you are structurally forecasting too high or too low.
A usable forecast helps you anticipate peaks and changes sooner. This allows you to better prepare capacity and replenishment, reducing unnecessary rush actions. Because forecasts always remain uncertain, periodic adjustments, scenarios, and appropriate buffers are at least as important as the forecasting model itself.
What is Demand forecasting?
Forecasting is predicting future demand based on data, patterns, and market knowledge.
When do you use it?
Combine historical demand with seasonality, promotions, and commercial insights, and measure forecast error.
What are the benefits?
A better foundation for purchasing, inventory, and capacity, with explicit attention to uncertainty.