In a demand forecasting context, the term "Errors" refers to what?

In the context of demand forecasting, "Errors" specifically refers to the discrepancies between actual and forecasted values. These errors indicate how well the forecasting model predicts future demand based on historical data. When organizations analyze these errors, they gain insights into the accuracy of their forecasts, which can lead to improved forecasting methods and better overall demand management. By focusing on the difference between what was predicted and what actually occurred, businesses can adjust their strategies and operations to align more closely with real market conditions, thus enhancing their planning processes.