What is an additional input worksheet required by the predicted actuals function?

The predicted actuals function relies on historical data to inform future predictions. A worksheet with bucketed historical actual quantities serves as a critical input because it organizes and categorizes past data into manageable segments, such as time frames or quantities, which allows the prediction model to recognize patterns and trends from previous performance. By analyzing this structured historical data, the function can generate more reliable forecasts for actual quantities expected in the future.

This approach enhances the accuracy of predictions by ensuring that the model has a comprehensive view of what has transpired in the past, thereby facilitating better-informed decision-making. Using bucketed historical quantities allows the function to account for seasonality, fluctuations in demand, and other variables that have affected the actual quantities in the past. Such a data-driven foundation is vital for the efficacy of predictive analytics within the Kinaxis environment.