DDMRP in D365 and Demand Forecasting Fueled by Azure Machine Learning
Session Overview:
The Supply Chain landscape has changed and some of the tried-and-true methodologies for Planning are not cutting it anymore. Demand Driven Material Requirements Planning (DDMRP) can help you decouple your supply and demand and take control of your inventory. Find out how Machine Learning can take your existing data and predict what you will need with amazing accuracy!
Agenda:
- Setup demand forecasting using Azure Machine Learning Service
- Dynamics 365 Supply Chain and Azure pipeline for statistical modeling
- Forecasting models (ARIMA, ETS, STL, combined)
- Baseline forecast review, adjustment and authorization
- DDMRP enabling Decoupling points
- Defining Coverage Groups using DDMRP
- Average Daily Usage – Past, Future, combined
- Defining Minimum, Reorder and Maximum points
Learning Objectives:
- Understand the Benefits of Demand Driven MRP (DDMRP) – Learn how DDMRP can help decouple supply and demand, improving inventory control and responsiveness in a changing supply chain landscape.
- Leverage Machine Learning for Demand Forecasting – Explore how Azure Machine Learning Service can enhance demand forecasting by utilizing statistical models such as ARIMA, ETS, and STL to predict inventory needs with greater accuracy.
- Implement DDMRP in Dynamics 365 Supply Chain – Gain insights into setting up DDMRP coverage groups, defining decoupling points, and establishing minimum, reorder, and maximum stock levels to optimize supply chain planning.
Speakers: Denis Guryev, Kim Fielden
Recorded at: Community Summit NA 2025
Type: Breakout Session
Ability Level: 201 – Intermediate
Primary Product: Dynamics 365 F/SCM (FO)
Tracks: Finance, Supply Chain
Terms: All rights reserved by the speaker, Community Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.
