Integrating artificial intelligence in pharmaceutical marketing: Enhancing engagement and efficiency

Dingre, Shraddha and Girbane, Vishal and Garudkar, Sujit and Todakari, Priyanka and Borawake, Dhanashri and Deshmukh, Meera (2025) Integrating artificial intelligence in pharmaceutical marketing: Enhancing engagement and efficiency. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 526-539. ISSN 2582-8266

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.