To tackle the most significant pain spot for bicycle quality inspection, the digital twin technology is applied to conduct active quality inspections, predicting product quality during production to avoid waste and reprocessing costs. It saves more than a million dollars of refining costs every year. The auto quality-optimization model for the core engine reduces 70% of the adjustment time. The system also interfaces with domestic and foreign public clouds and private clouds (smart machinery clouds) to establish the industrial chain of process quality digitalization for small and medium companies.