In contemporary mechanical engineering, efficient supply chain and logistics management are pivotal for streamlining operations, cutting costs, and enhancing overall production. In the context of mechanical engineering, this article investigates how Artificial Intelligence (AI) approaches may be used to improve supply chain and logistics procedures. The first part of the article focuses on illuminating the complex dynamics and problems that are present in modern supply chain and logistics systems within the realm of mechanical engineering. This highlights the importance of accuracy, punctuality, and making the most of available resources in the pursuit of gaining a competitive edge. The investigation of AI-driven optimization approaches and the revolutionary influence that these methods have on supply chain and logistics operations is at the center of this discussion. The essential ideas of AI are broken down into their component parts, which include machine learning, optimization algorithms, and data analytics. This lays the groundwork for putting these ideas into practice in various mechanical engineering settings.