Axtria built AI/ML sub-national demand forecasts for a women's health portfolio.
National forecasts hid regional variation, causing misaligned promotion and inventory. Axtria built an ML regional demand forecasting system using demographic and event-driven variables such as market events, regulation and promotions. The page reports below-average prediction error and better promotional and inventory planning, with no numeric figures.
Axtria is a commercial analytics and cloud software company for life sciences, used by pharma for field force analytics, next-best-action, forecasting and GenAI insight tools
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 Axtria on its own site — read the original case study on axtria.com ↗
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