The Supply Chain Distribution Optimization solution accelerator helps manufacturers tackle the high cost and complexity of moving goods across global distribution networks. 

Using the Databricks Lakehouse for Manufacturing, this accelerator shows how data and AI can be used to improve distribution network performance and support more competitive, profitable operations.

With this accelerator, you can:

• Use linear programming (LP) to optimize product distribution at scale across your network
• Train models to predict supply and demand of products to better align inventory with customer needs
• Leverage Apache Spark™ to speed up model training on Pandas DataFrames, so you can iterate quickly on large datasets
• Work from Databricks notebooks that include code, sample data, and step‑by‑step guidance so you can get hands-on immediately

Get started

• Launch the notebook accelerator:Supply Chain Distribution Optimization notebook
• Learn more about supply chain analytics and demand planning with Databricks: How to Accelerate Demand Planning From 4.5 Hours to Under 1 Hour With Azure Databrick

🔗 Launch Solution Accelerator 👈