Case Study: the world’s largest aluminum company reduces logistics costs with Addepto’s AI-driven supply chain optimization platform

A Addepto Case Study

Preview of the World Largest Aluminum Company Case Study

Unified platform for managing supply chain

Addepto worked with the world largest aluminum company, which was facing high logistics costs, a long and complex order handling process, and limited awareness of how AI could improve operations. The company’s managers were also relying more on intuition than data, making it difficult to manage supply chain decisions effectively.

Addepto implemented an AI-driven logistics optimization engine as a unified platform for managing predictive AI modules across the supply chain. The solution automated route optimization for trains, vessels, and trucks, reduced manual data processing, and improved scalability and automation, helping cut transportation and stock costs by an average of $1.5 per ton.


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