Cohort: 3

Members: Zhigang Zhou, Zhiqing Wang, Zuofei Shi, Ke Li, Jing Yu, Chuqiao Niu

Problem: Air-conditioner manufacturers face growing demand for customized products and higher quality standards, but Process design, Process implementation and Process optimization still depend heavily on fragmented data and manual work. This slows product launches, limits automation and creates avoidable quality lost

Approach: The transformation connects Process design, Process implementation and Process optimization in one AI-enabled workflow. Simulations reduce the need for physical trials, software code and process documents can be generated automatically, vision and noise models inspect products across the line, and AI agents analyze faults and feed production lessons back into design.

Result: Deployed factories achieved: 37% faster product development, 49% higher production efficiency per person, full AI quality inspection coverage, 30.4% fewer first-pass yield losses, and 83% faster anomaly resolution.