This use case, which focuses on IoT and AI integration into automotive chassis parts, especially data collection with embedded sensors in suspension parts such as control arms, aims to transform R&D and manufacturing processes. By collecting data from embedded sensors, TEKNOROT aims to optimize design and manufacturing processes, resulting in higher quality and longer life parts. Furthermore, by using data to predict part lifetime, failures can be predicted in advance and potential accidents will be avoided. TEKNOROT’s vision includes the complete digitalization of the product lifecycle from design to use. By collecting and analyzing various data such as vibration and sound through sensors, an AI-powered system will provide real-time monitoring and remote notification capabilities, ensuring the best performance and safety for end users.