What does the predict actuals function provide?

The predict actuals function is designed to generate data points that are based on statistical forecast parameters. This function leverages historical data and applies statistical models to project actual demand patterns, helping users to make informed decisions based on expected future performance rather than solely relying on historical averages or peak values.

By utilizing statistical techniques, the predict actuals function analyzes fluctuations and trends in demand data, allowing businesses to anticipate actual demands more accurately. This is vital for supply chain management and planning, as it enables a proactive approach to inventory and resource allocation based on reliable data projections.

The other choices do not capture the essence of what this function offers. For instance, providing a set of accurate historical actual demands focuses only on past data without the predictive aspect. An average of demand over years simplifies the data to a single number, losing important variations and trends. The highest recorded demands over a period also fails to consider ongoing trends and statistical modeling, which are key components of the predict actuals function.