Forecast Accuracy Metrics | Don't make these mistakes while applying | BIAS MAD MPE MAPE WMAPE

Applying forecast accuracy metrics are very important to get the desired results in supply chain. In this video, I reviewed the metrics and discussed when, where, and how each metric should be applied to improve the customer service level in a supply chain

[@ToygarÇaparoğlu]

Perfect explanation!

[@learningsupplychain]

Thanks

[@brunanogueira8277]

Great video!

[@learningsupplychain]

Thanks for your appreciation

[@gurjinderkaur5007]

Thank you for the video, very informative! Question: Which approach to take while aggregating all these metrics for multiple items observed over last 'n' time periods? Does averaging makes sense? Because in the end we have to report a single metric to demonstrate the quality of our forecasts and it's always challenging for me to figure this out, given hundreds or thousands of forecasts.

[@learningsupplychain]

I think besides averaging, and also keep min and max values.