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 Sparkโข 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 stepโbyโstep guidance so you can get hands-on immediately
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