Case Study: ICIS delivers industry-first gen AI commodities intelligence with MongoDB Atlas

ICIS launches industry-first gen AI commodities app with MongoDB Atlas, surpassing adoption expectations

ICIS, a commodities data specialist and part of LexisNexis Risk Solutions, faced the challenge of transforming its vast and varied data landscape to meet the global economy's demand for fast, accurate intelligence. Their goal was to evolve into a data-as-a-service model and build a central repository for consistent data management across their business, all within a turbulent and unpredictable market environment. They turned to MongoDB and its MongoDB Atlas platform to serve as a fundamental persistent layer for this transformation.

Using MongoDB Atlas as its vector database, ICIS built Ask ICIS, a first-of-its-kind generative AI assistant for commodity market intelligence. The solution leveraged retrieval-augmented generation (RAG) to provide subscribers with tailored, citation-backed insights. The results were positive adoption rates that surpassed expectations for the conservative industry, with customers actively using the tool to reduce their daily workload. MongoDB enabled ICIS to get the innovative application in front of customers quickly and successfully.

ICIS