This paper examines the transformative role of Artificial Intelligence  and information systems in Supply Chain Management, focusing on their impact on operational efficiency, risk management, and customer satisfaction. Key applications such as predictive analytics, AI-driven demand forecasting, and Decision Support Systems are explored, illustrating how these technologies enhance forecast accuracy, reduce inventory costs, and optimize logistics. The integration of AI and information systems is highlighted as a driver of a more interconnected, data-driven supply chain. Challenges such as data security, system integration, and workforce readiness are addressed, along with strategies for achieving seamless interoperability. The paper also proposes future research on the application of AI in the organ transplantation supply chain in Morocco as a case study for validation. The findings underscore AI’s potential to revolutionize SCM through strategic integration and technological advancements.

Keywords

Supply Chain Management, Artificial Intelligence, Integration, Predictive Analytics, Interoperability.