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IMPACT OF ARTIFICIAL INTELLIGENCE ON PHARMACEUTICAL MARKETING STRATEGIES ENHANCING EFFICIENCY IN SALES AND DISTRIBUTION

📘 Volume 11 📄 Issue 12 📅 December 2025

👤 Authors

Yuvraj Narhari Kakad 1 , Dr Abid Shaikh 2 , Dr. Sunil S. Jaybhaye 2 , Sachin Kalyanrao Devde 3
1. Student of Bachelor in Pharmacy, Dr. Babasaheb Ambedkar Technological University, Raigad, Lonere
2. Faculty of pharmacy, Department of Pharmacy, Dr. Babasaheb Ambedkar Technological University, Raigad, Lonere.
3. Student of Bachelor in Pharmacy, Dr. Babasaheb Ambedkar Technological University, Raigad, Lonere.

📄 Abstract

Artificial Intelligence (AI) is changing the way pharmaceutical companies plan and perform their marketing activities. With the help of smart systems and data-based tools, companies can understand doctors’ needs, patient trends, and market behaviour more clearly than before. Instead of using only traditional methods like field visits and seminars, AI allows marketing and sales teams to deliver the right information to healthcare professionals at the right time through digital channels. AI also helps companies predict product demand, manage stock levels, and avoid shortages by studying prescription patterns, location-wise needs, and seasonal changes. Sales teams can receive quick insights about which doctors to meet, what information to share, and which areas need more attention. In addition, AI-based Customer Relationship Management (CRM) systems help in planning visits, personalizing communication, and improving overall engagement with healthcare professionals.By using AI, pharma organizations can work more efficiently, reduce unnecessary efforts, and make faster and smarter decisions in both sales and distribution. This leads to stronger customer connections, better resource use, and improved business outcomes

📚 How to Cite:

Yuvraj Narhari Kakad, Dr Abid Shaikh, Dr. Sunil S. Jaybhaye, Sachin Kalyanrao Devde , IMPACT OF ARTIFICIAL INTELLIGENCE ON PHARMACEUTICAL MARKETING STRATEGIES ENHANCING EFFICIENCY IN SALES AND DISTRIBUTION , Volume 11 , Issue 12, December 2025, EPRA International Journal of Multidisciplinary Research (IJMR) , Pages: 185 - 194 ,

🔗 PDF URL

https://cdn.epratrustpublishing.com/article/1765785129879-31.EPRA JOURNALS 25238.pdf

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