In a world where the competitiveness of the automotive industry relies on effective supply chain management, and where technological advances play a key role in improving component traceability, we present here an innovative approach that explores the combined use of the Internet of Things (IoT) and artificial intelligence (AI). Our vision is to design a real-time tracking system integrating IoT sensors such as RFID and GPS devices, as well as sensors measuring temperature, humidity and vibration. The sensors ensure a complete and constant collection of data on the physical flow along the supply chain…. This data is processed by artificial intelligence algorithms that provide advanced analysis and forecasting capabilities. The methodology proposed includes system design, selection of appropriate IoT technologies and implementation of artificial intelligence algorithms to process the data in real time. This contribution will enable us to achieve a significant 25% improvement in component tracking accuracy, a 30% reduction in inventory management errors, and a remarkable 40% increase in our ability to predict stock-outs. This clearly demonstrates the potentially positive influence that the integration of IoT and AI technologies can have on the overall improvement of the automotive supply chain; also opening the way to a more efficient and responsive approach to automotive parts management, while providing opportunities to encourage continued progress in this specific area.