This repository contains template scripts that you can use to set up your Azure environment to generate demand forecasts using the Azure Machine Learning Service, which you can then integrate with the demand forecasting feature of Dynamics 365 Supply Chain Management. For details, see Demand forecasting overview.

To enable your Azure subscription to generate demand forecasts, we recommend that you run the quick_setup.ps1 script included in this repository on your Azure environment and follow the instructions provided by the script. Alternatively, you could set it up manually as described in Demand forecasting setup.

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.