Supply Chain Distribution Optimization

Optimize transportation costs and improve distribution network performance

The delivery of goods across a global distribution network is highly costly and logistically complex. Manufacturers can use data and AI to address these operational challenges to maintain competitiveness and profitability in the marketplace. With the Databricks Lakehouse for Manufacturing, organizations can:

• Use linear programming (LP) to optimize product distribution at scale
• Train models to predict supply and demand of products
• Leverage Apache Spark^TM to easily speed up model training on Pandas DataFrames