Forecast accuracy
The mean absolute percentage error (MAPE) is a statistical metric used in D365 to quantify the accuracy of demand forecasts. It represents the average absolute percentage difference between the actual observed values and the forecasted values, helping administrators refine their planning models.
How do you measure forecast accuracy using the mean absolute percentage error (MAPE) in D365?
Monitoring your forecast accuracy: mean absolute percentage error (MAPE) is essential for continuous improvement in your supply chain performance. A high MAPE score indicates that your current planning models are not reflecting market reality, while a low score indicates highly reliable insights. By regularly auditing these metrics, you can identify which products or categories need more attention in your planning strategy. If your team is struggling to reduce variance and achieve better predictability, our consultants provide the expert analysis needed to refine your models through tailored Dynamics 365 end user training to improve your forecasting outcomes.
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