Plaza 365
Plaza 365

No results found for your search

RegisterLog in

5

Unpacking the "Explainability" Tab in Demand Planning

Visit article

#planning

#tab

Dynamics 365 Finance

Category

Oct 3, 2024

Published date

Text

Article Type

AI Summary

  • The Explainability tab in Dynamics 365 Supply Chain Management provides insights into forecast models and key performance indicators like Mean Absolute Percentage Error (MAPE).
  • MAPE is a statistical measure that assesses forecast accuracy by comparing predicted values to actual results, helping users fine-tune planning strategies.
  • Demand Planning key concepts include Forecast Models (e.g., ARIMA), Time Fences to maintain stability, and Best Fit algorithms for optimal forecasting.
  • The Explainability tab offers algorithm transparency, accuracy measurement through MAPE, and scenario analysis for data-backed decision-making.
  • Utilizing the Explainability tab and understanding MAPE can improve forecast accuracy and justify demand planning decisions to stakeholders.
  • The article emphasizes the importance of using the Explainability tab in Dynamics 365 for effective demand planning strategies.
  • The author humorously suggests that utilizing the Explainability tab is like having the answers to a test beforehand, highlighting the benefits of understanding forecast accuracy.
  • The article concludes by encouraging readers to dive into the Explainability tab, use MAPE and forecast models to enhance their demand planning strategy.

Registered users can view the full text for FREE!

Sign In Now!

Cookies Consent

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.