From Forecasts to Field Impact: How Generative AI Supercharges Predictive Analytics for Pharmaceutical Medical & Sales Representatives

Banat, Imran (2025) From Forecasts to Field Impact: How Generative AI Supercharges Predictive Analytics for Pharmaceutical Medical & Sales Representatives. International Journal of Innovative Science and Research Technology, 10 (9): 25sep845. pp. 1433-1435. ISSN 2456-2165

Abstract

Medical representatives are vital in bridging pharmaceutical innovation and clinical practice, but their effectiveness is often limited by time-consuming preparation, regulatory constraints, and the complexity of tailoring interactions to diverse healthcare providers (HCPs). Predictive analytics has historically supported reps with forecasts and territory plans; today, generative artificial intelligence (GenAI) amplifies this support by delivering actionable, real-time insights. This paper explores how GenAI enhances daily workflows for field and medical reps—from pre-call preparation to in-call engagement and post-call follow-up—using real-world examples and emerging case studies. We argue that GenAI transforms forecasts into field impact, shifting reps from information deliverers to strategic, insight-driven advisors.

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