Artificial Intelligence (AI) has sparked as a revolutionary force in Supply Chain Management (SCM), transforming traditional methods and introducing advanced applications that enhance accuracy, efficiency, and adaptability. This chapter investigates the integration of AI in SCM, investigating how intelligent technologies like Machine Learning, and Natural Language Processing, are transforming several supply chain processes, from demand forecasting to optimizing logistics. AI enables supply chains to predict customer demands accurately, streamline inventory management, and enhance the efficiency of distribution systems. The chapter highlights AI’s role in decision-making, where real-time data and predictive analytics cause businesses to respond precisely to changes in the market. The application of AI eliminates human errors and enhances operational effectiveness by automating repetitive tasks and offering actionable insights for strategic planning. Moreover, AI is enhancing the transparency and traceability of supply chains, leading to greater collaboration between manufacturers, suppliers, and retailers. The chapter also addresses the challenges involved in the integration of AI in SCM, which include the need for high-quality data, the risk of workforce disruption, and ethical and privacy issues. In conclusion, the integration of Artificial Intelligence into Supply Chain Management offers great opportunities to drive innovation, optimize performance, and mitigate risks. As businesses continue to progress in the global trade landscape, AI will remain a crucial tool in shaping the future of SCM.