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The Supply Chain Management Accelerator leverages deep learning forecasts, Azure Machine Learning and distributed computing with a Ray Cluster, to simulate an inventory optimization problem using synthetic data. It allows you to also run other simulations, using a PowerApps user-interface connected directly to the Azure Kubernetes Instance running

License: MIT License

Python 6.47% PowerShell 0.03% Jupyter Notebook 87.54% Dockerfile 0.35% Bicep 5.60%
accelerator ai azure deep-learning machine-learning microsoft ml optimization power-apps power-bi ray-cluster supply-chain-management

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intelligent-supply-chain-management's Issues

Remove Azure Compute Instance from deployment template

Creating a pre-fixed ACI will not work with Subs and Accounts with specific quotas. It also poses several challenges when it comes to finding the correct size. The solution is to remove the ACI deployment from the template.
The consequence is having a smaller sized deployment (less $$ too), and give the users the freedom to choose the ACI size or to bring their own compute.

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