As Asia’s largest automotive slide production site, Faurecia Yancheng faced persistent challenges from high quality costs and intense market price pressure. To overcome this, the site launched a digital initiative, deploying over 40 advanced use cases, leveraging machine learning, deep learning and generative AI to create a multimodal quality control system. The system was designed to address complex, multi-sensory challenges including noise, leading to a significant reduction in quality costs and overall cost pressure. The system resulted in a cut to customer complaints by 94%, with the associated costs down by 62.5%. Scrap costs were reduced by 75.8% and overall equipment effectiveness (OEE) increased by 10.2%.