Case Study: Genomma Lab unifies commercial data and accelerates analysis with Riley AI

A Riley AI Case Study

Preview of the Genomma Lab Case Study

Genomma Lab unifies data from 5 sources with Riley AI across 18 countries

Genomma Lab, a leading Latin American pharmaceutical and personal care company, faced a significant challenge in managing its commercial performance. The company relied on five disconnected data sources with different structures and update schedules, forcing analysts to manually prepare data before any analysis could begin. This process slowed down decision-making and hindered business teams. To address this, Genomma Lab partnered with vendor Riley AI to explore a more scalable solution for data integration and access.

Riley AI implemented a technical foundation to unify Genomma Lab's disparate commercial data, combining integration, modern retrieval methods, and a conversational business interface. While the full AI assistant was not finalized during the engagement, the partnership delivered valuable outcomes. It reduced reliance on manual processes, accelerated analysis, and provided a model for making information accessible through natural language. Furthermore, the collaboration advanced Genomma Lab's internal data and AI strategy by introducing new techniques like vector-based architectures, strengthening the capabilities of both teams.


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