Case Study: Michelin achieves faster, scalable data management with MongoDB Atlas

Michelin cuts processing time from 8 hours to 24 seconds with MongoDB

Michelin, a world-leading manufacturer, faced significant challenges with its PS9 master data management tool hosted on a costly SaaS platform. The application was slow, inflexible, and inefficient, causing long delays for new features and rising costs, which led to user frustration across its global supply chain. To address these issues, Michelin partnered with MongoDB to migrate the application.

By moving PS9 to MongoDB Atlas, Michelin regained control of its environment and implemented a modern, document-driven architecture. The solution delivered dramatic results for the vendor, including cutting processing time from 8 hours to 24 seconds and reducing feature delivery from 2 years to 20 days. This resulted in major cost savings, a vastly improved user experience, and the elimination of shadow IT.

Michelin