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Hello,
We have an Azure ML demand forecasting pipeline integrated with D365F&O Master planning module. It appears that the infolog messages shown during a failure of statistical baseline generation is not informative at all to the user operating D365F&O.
Is it possible, as developers, to customize infolog messages based on the exceptions/logs thrown by the Azure ML pipeline? Essentially use Azure ML or some other tool during the process to add more information to the infolog message in D365F&O?
Hi,
When you select Azure Machine Learning Service as your forecast generation strategy, Supply Chain Management automatically sends your customer data for historical demand, such as aggregated quantities, product names and their product dimensions, shipping and receiving locations, customer identifiers, and also forecast parameters, to the geographic region where your machine learning workspace and its linked storage account are located, for the purpose of forecasting future demands. The Azure Machine Learning Service might be in a different geographic region than the geographic region where Supply Chain Management is deployed. Some users can control whether this functionality is enabled by selecting the forecast generation strategy on the Demand forecasting parameters page.
And for the configuration about Azure ML, you can refer to the blog:
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