December 3, Shanghai – At the grand finale of the “2025 Feishu AI Efficiency Pioneer National Competition,” Neijiang Jinhong Quzhou Co., Ltd. (hereinafter referred to as “Jinhong Quzhou”) from Sichuan emerged as the biggest dark horse. This veteran manufacturing company with nearly 70 years of history stood out among more than 130 enterprises and over 230 solutions nationwide, winning two major awards – “Best Creative Honor” and “Most Popular Honor” – with its real‑world case study titled “AI saves the factory 1,000 hours and one million yuan annually,” delivering a textbook example of intelligent transformation for traditional Chinese manufacturing.
Breaking Through Pain Points:
“New” Challenges in an Old Factory
As a subsidiary of Haowu Components (000757), Jinhong Quzhou is a leader in China’s automotive engine crankshaft industry, with an annual production capacity of 3 million units. However, as capacity expanded, this enterprise, founded in 1958, faced typical “manufacturing pains”: expertise locked in the heads of veteran workers, records kept by hand; young workers bogged down by repetitive form‑filling; expensive tooling materials tracked via “person‑to‑person” monitoring – any lapse leads to cost waste.
How to make accumulated experience “come alive”? How to speed up tedious processes? Jinhong Quzhou chose Feishu AI as the breakthrough.
Scenarios Put into Practice:
A Dialect‑Savvy AI and a Warehouse Manager Who Never Sleeps
At the finals, the Jinhong Quzhou team demonstrated two “killer applications” that won high praise from judges and the audience:
The 24/7 “All‑Around Advisor”: To break down information silos on the workshop floor, the team developed a dedicated “Aily Intelligent Assistant.” Its greatest strength is being “down‑to‑earth” – it understands the dialects of frontline workers and is available 24/7. Whether for night‑shift equipment debugging or a newcomer looking up process parameters, the AI responds instantly. This application directly reduced factory‑wide inquiries by 80%, solving the dilemma of “veterans too busy to teach, juniors too afraid to ask.”
The Meticulous “Materials Manager”: To tackle the inventory management headaches of production supervisors, Jinhong Quzhou built an AI material early‑warning system. The system continuously scans inventory data; when special tooling falls below the safety line, an automatic alert is triggered. This not only frees up 1.5 hours per day for each supervisor to focus on technical work rather than tedious form‑filling, but also drastically reduces inventory error rates.
Data Speaks:
The “Real Value” of an Estimated Annual Revenue Increase of Over 5 Million Yuan
Unlike many face‑saving “AI for AI’s sake” projects, Jinhong Quzhou’s AI practices deliver tangible financial returns.
Data shows that after implementation, the scrap rate for individual products fell by 0.15%, directly saving 246,000 yuan per year. In just a single sub‑factory, the comprehensive efficiency gains and additional revenue driven by AI have already reached 1.44 million yuan per year.
An Upgraded Philosophy:
In the AI Era, the Protagonist Is Still “People”
“We do not pursue flashy technology stacks. Our ultimate goal is to build a ‘thousand‑person, thousand‑face’ office platform,” said the project leader from Jinhong Quzhou emotionally during the roadshow. “We want veteran workers to be able to retrieve a lifetime of experience just by speaking. We want young people to focus on innovation with the help of data analysis. We want managers to have dashboards that let them make decisions from afar.”
Feishu CEO Xie Xin gave high praise to the Jinhong Quzhou case in his concluding remarks. He said: “In the Jinhong Quzhou case, I did not see anxiety about ‘being replaced.’ Instead, I saw vivid people empowered by technology. In the AI era, the protagonist is not technology – it is people. It is these frontline ‘people’ who give technology warmth and determine the depth of its implementation.”
From the Neijiang Gear Factory of 1958 to the AI efficiency pioneer of 2025, Jinhong Quzhou’s transformation proves that traditional manufacturing needs not only a strong steel spine but also a smart digital brain. As AI technology continues to permeate production and management, Jinhong Quzhou is leading the industry from “manufacturing” to “intelligent manufacturing” – enabling every person in the factory to be “heard” and every piece of experience to become more valuable.