Artificial Intelligence in pharmaceutical supply chain management: A systemic review

Roy, Arnab and Mohapatra, Anuradha and Sharwan, Chitranjali and Kumar, Adarsh and Kumar, Sunny and Maholay, Akshat and Conneh, Clerick C (2025) Artificial Intelligence in pharmaceutical supply chain management: A systemic review. World Journal of Biology Pharmacy and Health Sciences, 21 (1). pp. 204-213. ISSN 2582-5542

The pharmaceutical supply chain is a critical component of the global healthcare system, ensuring the efficient delivery of life-saving drugs to patients. However, challenges such as inventory management, counterfeit drugs, demand forecasting, and regulatory compliance necessitate innovative solutions. Artificial Intelligence (AI) has emerged as a transformative tool in optimizing pharmaceutical supply chain operations. This review systematically examines the applications, benefits, challenges, and future prospects of AI in pharmaceutical supply chain management (PSCM). By analyzing current literature, this article highlights AI-driven solutions such as predictive analytics, blockchain integration, and machine learning algorithms, offering a comprehensive understanding of their impact on efficiency, accuracy, and transparency in the pharmaceutical supply chain.