Case Study: Scalestack achieves 40% higher rep productivity with MongoDB Atlas and MongoDB Vector Search on AWS

Scalestack boosts rep productivity by 40% with MongoDB

Scalestack, a sales productivity startup, faced the challenge of helping sales teams overwhelmed by managing disparate go-to-market data from multiple sources. This manual data reconciliation was hindering productivity. To build an AI platform that could unify this data and automate workflows, Scalestack turned to MongoDB, implementing MongoDB Atlas and MongoDB Vector Search on AWS.

The solution using MongoDB Vector Search enabled Scalestack's AI copilot to perform fast, contextual searches across varied data types. This MongoDB-powered system provided accurate, real-time information to sales reps. The results were significant, with customers seeing a 40% increase in rep productivity and an average 53X ROI on the platform, driven by more efficient data management and enhanced sales execution.

Scalestack