AI algorithms are revolutionizing global supply chains, automating tasks and optimizing logistics. From predictive maintenance to real-time inventory management, AI is streamlining operations and reducing costs. This technology is enabling businesses to respond more effectively to disruptions and maintain efficiency in a dynamic global market. The integration of AI into supply chains is not without its challenges, however, as data security and ethical considerations must be addressed. The use of AI in supply chain management is leading to significant improvements in efficiency and responsiveness. AI-powered systems can analyze vast amounts of data to identify patterns and predict future trends, allowing businesses to proactively adjust their strategies. This predictive capability is crucial for mitigating risks and ensuring smooth operations. Furthermore, AI is enabling better collaboration between different stakeholders in the supply chain, fostering a more interconnected and efficient network. Despite the numerous benefits, the implementation of AI in supply chains requires careful consideration of ethical implications. Data privacy and security are paramount, and businesses must ensure that AI systems are used responsibly and transparently. Moreover, the potential displacement of human workers in certain roles needs to be addressed through retraining and upskilling initiatives. The integration of AI into supply chains is a complex process that requires careful planning and execution.