What do the statistical errors by date function inputs provide?

The statistical errors by date function inputs are designed to provide a detailed comparison between historical actual values and the corresponding calculated forecast values. This functionality is crucial for assessing the accuracy of forecasting models by allowing users to analyze how well the forecasts matched up with what actually occurred in the past. By examining these statistical errors, users can identify patterns or discrepancies that may indicate areas for improvement in their forecasting processes.

This capability is particularly valuable for supply chain and operations professionals who rely on accurate forecasts to drive decision-making. Understanding the historical performance of forecasts helps to refine future predictions and enhance overall supply chain efficiency. Additionally, users can gain insights into consistent errors that can inform adjustments to methodologies used for generating forecasts.

The other options do not reflect the main purpose of this function. Future projections relate to forecasting capabilities rather than historical analysis. Trends in customer behavior and media marketing statistics are outside the scope of statistical errors derived from historical actuals and forecasts.