In this FastTrack TechTalk session, the Microsoft Dynamics 365 team explores advanced features in Demand Planning to enhance forecast accuracy. Key topics include the use of forecasting engines like ARIMA, ETS, and Prophet models for best-fit forecasting, handling various data types, and incorporating external signals like weather. Continuous forecasting covers strategies for maintaining accurate rolling forecasts and preserving manual adjustments. The session introduces Copilot features for detecting seasonality, analyzing trends, and supporting planners with confidence-scored insights. It also discusses exporting data to Dynamics 365 Supply Chain Management, highlighting tasks such as mapping dimensions, optimizing DMF performance, and enabling CSV exports with Power Automate integration on the horizon. Additionally, a new feature for time series and version cleanup allows selective deletion of outdated versions to manage storage efficiently and prepare for future migrations to Dataverse.
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