Department of Pharmacy, Tilak Maharashtra Vidyapeeth’s Lokmanya Tilak Institute of Pharmaceutical Sciences, Pune, Maharashtra, India. 411037.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 526–539
Article DOI: 10.30574/wjaets.2025.15.3.0948
Received on 27 April 2025; revised on 01 June 2025; accepted on 04 June 2025
The integration of Artificial Intelligence (AI) is transforming pharmaceutical marketing by enhancing how companies engage with healthcare professionals and patients. Traditional methods such as in-person sales, printed materials, and conferences are being replaced by data-driven, digital strategies. AI technologies like machine learning, natural language processing, predictive analytics, and robotic process automation are enabling targeted, efficient, and personalized marketing campaigns. This project explores AI applications in tools such as chatbots, virtual medical representatives, and AI-powered customer relationship management systems, highlighting their role in automating tasks, analyzing data, forecasting trends, and improving compliance. Real-world case studies demonstrate improved return on investment, customer engagement, and operational efficiency through AI. While AI offers numerous benefits accuracies, personalization, and cost-effectiveness it also poses challenges, including data security, high initial investment, and regulatory concerns. This study concludes that AI holds significant promise in revolutionizing pharmaceutical marketing by making it more adaptive, intelligent, and aligned with the demands of a dynamic healthcare environment.
Artificial Intelligence; Pharmaceutical Marketing; Machine Learning; Healthcare Communication; Digital Health
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Shraddha Dingre, Vishal Girbane, Sujit Garudkar, Priyanka Todakari, Dhanashri Borawake and Meera Deshmukh. Integrating artificial intelligence in pharmaceutical marketing: Enhancing engagement and efficiency. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 526-539. Article DOI: https://doi.org/10.30574/wjaets.2025.15.3.0948.