MSUSAzureAccelerators/Intelligent-Supply-Chain-Management

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

38
/ 100
Emerging

This solution helps inventory managers and supply chain managers accurately predict demand and optimize inventory. It takes various business data, like ERP records or sales figures, and provides actionable insights and optimized inventory levels through a user-friendly interface. This is designed for professionals managing product portfolios and inventory systems who need to make data-driven decisions.

No commits in the last 6 months.

Use this if you need to improve demand forecasting, reduce stockouts or overstocking, and gain better visibility into your supply chain operations to boost profitability.

Not ideal if you do not have access to an Azure subscription or existing supply chain data sources like ERP systems.

inventory-management demand-forecasting supply-chain-optimization logistics-planning operations-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

17

Forks

7

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 09, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mlops/MSUSAzureAccelerators/Intelligent-Supply-Chain-Management"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.