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Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
| Enabled for | Public preview | General availability |
|---|---|---|
| Users, automatically | - | Aug 2026 |
Business value
The latest demand planning enhancements in Dynamics 365 Supply Chain Management allow you to create forecasts that consider the impacts of multiple inputs, including historical sales data, inflation, pricing, weather, and more. These tools help you optimize your supply chain and achieve better financial outcomes.
Feature details
Demand planning in Supply Chain Management helps you forecast demand using diverse data sources and signals. The latest updates enhance forecast accuracy, enabling you to optimize your supply chain and improve financial outcomes.
New capabilities include:
- Support for multiple signals: Define multiple input signals such as inflation or weather-related measures and apply the XGBoost forecast algorithm. XGBoost assesses correlation, analyzes the impact of each signal against historical sales data, and incorporates these insights into the forecast result.
- New forecast algorithms: Use algorithms like Naive and Croston for specific scenarios.
- Preserve manual adjustment in rolling forecasts: The new manual adjustment principle extends time-freeze functionality to allow the system to preserve all manual adjustments when executing rolling forecasts.
Geographic areas
Visit the Explore Feature Geography report for Microsoft Azure areas where this feature is planned or available.
Language availability
Visit the Explore Feature Language report for information on this feature's availability.
Related content
Forecast with signals (docs)