Stellantis: How a Global Automaker Deployed AI Agents at Scale
Stellantis cut AI-driven supply chain planning from one week to one day across 40 plants
“we are able to reduce from one week to one day to create this plan cycle”
Stellantis, a 14-brand automotive group, presented its production AI agent architecture built on Databricks, featuring process agents and employee personal assistants connected via MCP protocol and a semantic data layer. Their flagship use case, 'Optima,' optimizes inbound transport planning for materials flowing from 4,000 suppliers to 40 plants daily, combining mathematical optimization with conversational AI. The result: planning cycle time dropped from one week to one day, representing a concrete, at-scale enterprise AI deployment with measurable operational ROI.