Kalinga University, Kotni, Atal Nagar-Nava Raipur, Chhattisgarh 492101, India.
World Journal of Biology Pharmacy and Health Sciences, 2025, 21(01), 204-213
Article DOI: 10.30574/wjbphs.2025.21.1.1088
Received on 28 November 2024; revised on 06 January 2025; accepted on 08 January 2025
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.
Keyw
Pharmaceutical Supply Chain; Artificial Intelligence (AI); Predictive Analytics; Blockchain; Regulatory Compliance
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Arnab Roy, Anuradha Mohapatra, Chitranjali Sharwan, Adarsh Kumar, Sunny Kumar, Akshat Maholay and Clerick C Conneh. Artificial Intelligence in pharmaceutical supply chain management: A systemic review. World Journal of Biology Pharmacy and Health Sciences, 2025, 21(01), 204-213. Article DOI: https://doi.org/10.30574/wjbphs.2025.21.1.1088.