Artificial Intelligence (AI) in supply chain management transforms traditional processes by enhancing efficiency, accuracy, and decision-making. AI technologies, including machine learning, predictive analytics, and automation, are used to optimize various aspects of the supply chain. Machine learning algorithms analyze historical data to forecast demand, optimize inventory levels, and improve procurement strategies. Predictive analytics help in identifying potential disruptions and adjusting strategies proactively. AI-powered automation streamlines routine tasks such as order processing, inventory management, and logistics, reducing manual effort and minimizing errors. Additionally, AI enhances visibility by providing real-time tracking and insights into supply chain operations, enabling faster and more informed decisions. By leveraging AI, businesses can achieve greater efficiency, reduce costs, and improve customer satisfaction. Overall, AI-driven innovations in the supply chain contribute to a more agile, responsive, and competitive supply chain ecosystem.