ROI case study: MongoDB at a global technology provider
A global tech provider achieved 250% ROI and 40% higher case deflection by deploying RAG and hybrid search with MongoDB.
How did MongoDB improve support accuracy and self-service outcomes?
MongoDB’s hybrid semantic–lexical search and RAG models increased case deflection by 40 percent by understanding both precise and intent-driven queries.
What cost savings were realized after adopting MongoDB?
Administrative and data science workloads dropped by 67 percent, caching optimizations reduced infrastructure costs, and the organization avoided ongoing overhead tied to manual FAQ curation.
How does MongoDB support scalable AI-driven support operations?
MongoDB’s distributed architecture powers real-time RAG workflows across global data centers, ensuring consistent performance and availability as user and query volumes grow.
What is the overall financial impact of the MongoDB deployment?
The project delivered a 250 percent ROI, a 6.8:1 benefit-to-cost ratio, and a 4.8-month payback period, generating more than $4 million in annual benefits.
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