Authors :
Imran Banat
Volume/Issue :
Volume 10 - 2025, Issue 9 - September
Google Scholar :
https://tinyurl.com/23h9jtj5
Scribd :
https://tinyurl.com/f7zxvbh2
DOI :
https://doi.org/10.38124/ijisrt/25sep845
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
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.
References :
- McKinsey & Co. Generative AI in the pharmaceutical industry: Moving from hype to reality. January 9, 2024.
- Quantzig. Enhancing Effectiveness: AI Assistant for Pharma Sales Reps. 2025.
- Singh M, et al. A Case Study of Generative AI in MSX Sales Copilot for Pharmaceutical Sales Representatives. arXiv. January 4, 2024.
- Nandakishor M. SalesRLAgent: Reinforcement Learning Framework for Sales Representatives in Pharma. arXiv. March 30, 2025.
- ZS Associates. Generative AI for Pharma Marketing: A Practical Roadmap. 2025.
- SR Analytics. AI in Pharmaceutical Industry: 2025 Guide & Use Cases. July 2025.
- The Healthcare Insights. Generative AI in the Pharmaceutical Industry. 2025.
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.