Indegene unified commercial data and added a GenAI interface to model vaccine demand across retail and non-retail channels.
Fragmented commercial data and multicollinearity undermined regression analysis of how business levers affected vaccine brand performance. Indegene unified sales, marketing and market data, built separate retail and non-retail models with elasticity and scenario simulation, and added a GenAI natural-language interface. The page reports a 65-70% cut in analysis turnaround, 35-40% more insight consumption and decisions made 3-3.5x faster.
Indegene is a healthcare commercialization and technology services firm, used by pharma for AI-assisted content and campaign creation, omnichannel HCP engagement and commercial analytics
This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.
Published by Indegene on its own site — read the original case study on insights.indegene.com ↗
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