Case Study: GEP accelerates global supply chain innovation with MongoDB Atlas

A MongoDB Case Study

Preview of the GEP Case Study

GEP boosts supply chain performance 35-40% with MongoDB Atlas

GEP, a global leader in supply chain software and services, faced the challenge of needing a more flexible and faster software development approach to keep pace with modern business demands. Their old systems were not fit for multi-cloud deployment, could not guarantee zero downtime, and made data querying across different client databases difficult. To reimagine how data moves through its business and its clients' operations, GEP partnered with MongoDB and adopted MongoDB Atlas.

Implementing MongoDB Atlas provided a modern, multi-cloud database platform that gave GEP a single view for all client data with individual security partitions. The solution delivered a 35-40% performance advantage in testing and now processes millions of transactions, with 90% completing in under 330 milliseconds. MongoDB enabled GEP to accelerate innovation, rapidly prototype new tools, and ensure critical business operations for its clients experience zero downtime.


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