• Bhumika Shah
• Dr. Shruti Saxena

Artificial intelligence (AI) is rapidly transforming the pharmaceutical supply chain by introducing advanced automation and data-driven decision-making processes. This integration of AI-enabled technologies into supply chain management enables real-time analytics, predictive forecasting, and enhanced visibility across production, distribution, and inventory control. By leveraging machine learning, natural language processing, and robotic process automation, pharmaceutical companies are streamlining administrative tasks while improving communication among diverse stakeholders. Innovative trends such as the integration of Internet of Things (IoT) sensors and blockchain systems are further reinforcing traceability and security throughout the supply chain. These technologies not only mitigate risks related to counterfeiting and cyber threats but also ensure regulatory compliance and product quality from manufacturing to patient delivery. The adoption of AI-driven analytics is enabling organizations to anticipate market fluctuations, optimize resource allocation, and minimize operational costs while maximizing supply chain resilience. Furthermore, the convergence of digital technologies is fostering a more transparent and agile supply chain ecosystem that can rapidly adapt to emerging global health challenges. This study reviews current advancements and explores future trends in AI-enabled supply chain automation, emphasizing the role of innovative technologies in revolutionizing pharmaceutical logistics. As digital transformation accelerates, the pharmaceutical industry is positioned to achieve unprecedented improvements in efficiency, responsiveness, and overall performance, paving the way for a more sustainable future. In summary, the future of pharmaceutical supply chain automation is being shaped by a dynamic interplay of AI, IoT, and blockchain technologies, which collectively promise to transform industry practices and elevate patient outcomes. Opportunities continue expanding.

Artificial Intelligence, Supply Chain Automation, Pharmaceuticals, Machine Learning, IoT, Blockchain, Predictive Analytics, Digital Transformation, Regulatory Compliance, Operational Efficiency

"Future Trends in AI-Enabled Supply Chain Automation for Pharmaceuticals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.e967-e982, March-2025, Available :http://www.jetir.org/papers/JETIR2503522.pdf

"Future Trends in AI-Enabled Supply Chain Automation for Pharmaceuticals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppe967-e982, March-2025, Available at : http://www.jetir.org/papers/JETIR2503522.pdf