What does the function described as a "fit function" aim to achieve?

The function known as a "fit function" is designed to calculate how historical forecasts are derived. This function plays a critical role in assessing the accuracy and effectiveness of forecasting models by allowing users to compare actual outcomes with predicted values. By evaluating how well the model aligns with historical data, the fit function provides insights into the reliability of the forecasts and helps in refining the models for better future predictions.

In the context of demand forecasting, understanding how forecasts were generated in the past allows businesses to improve their forecasting techniques, leading to more accurate predictions moving forward. This does not relate directly to analyzing customer preferences, forecasting product demand, or determining optimal pricing strategies, which are different functions focusing on distinct aspects of data analysis and business strategy.