Which function is used to disaggregate forecasts using seasonal rates?

The function used to disaggregate forecasts using seasonal rates is the transformation worksheet. This tool allows users to apply various mathematical transformations to forecast data, enabling the incorporation of seasonal patterns or trends into the forecasts. Disaggregation is a process of breaking down aggregate forecasts into more detailed components, and seasonal rates are crucial for adjusting these forecasts to reflect periodic variations in data, such as those caused by seasonal fluctuations.

Using the transformation worksheet, you can specify how to apply seasonal rates to the forecasted figures, effectively distributing the overall forecast into its seasonal components. This process helps in creating more accurate and responsive forecasts that take into account the subtleties of seasonal demand variations, ultimately improving decision-making and planning processes in supply chain management.