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Ruankong Co., Ltd.: AI technology helps tire manufacturing quality lean control

软控股份在投资者关系平台回应投资者提问,介绍了公司在AI落地应用场景的成果,已将相关技术应用于轮胎制造质量精益管控。

As the global AI wave is booming, the application of AI in manufacturing has become the focus of much attention.
On June 2, 2026, SoftControl (002073) responded to investors’ concerns on the investor relations platform and elaborated on the company’s achievements in AI application scenarios.

Investors pointed out that the global AI wave is booming, and the most difficult and valuable application scenarios for AI are in the manufacturing industry. The key to its implementation lies in industrial software that understands the pain points of manufacturing subdivisions, precise execution methods, and the ability to quickly adapt and iterate, and ultimately achieve standardized and modular manufacturing to help enterprises reduce costs and increase efficiency.
As the world’s only leading company in overall solutions (black light factory), investors hope that SoftControl will introduce its achievements, application cases, and long-term planning and layout in AI application scenarios.

Russian Control Co., Ltd. responded that the company has applied relevant technologies to lean quality control in the tire manufacturing process.
For example, in scenarios such as visual inspection, visual guidance, and parameter optimization, the company actively integrates relevant technologies into key nodes of the entire tire manufacturing process.
This not only helps improve tire manufacturing quality, but also optimizes equipment parameters and achieves equipment collaboration.

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From the perspective of visual inspection, advanced AI technology can accurately detect the appearance and size of tires, discover potential quality problems in a timely manner, and prevent substandard products from flowing into the market.
In terms of visual guidance, AI can guide equipment to perform precise operations and improve production efficiency and accuracy.
Parameter optimization can adjust equipment parameters in real time based on various data during the production process, making the production process more stable and efficient.

This move by China Soft Control Co., Ltd. is of great significance to the tire manufacturing industry.
As the market’s requirements for tire quality continue to increase, companies need to continuously improve their production technology and management levels.
Ruankong Co., Ltd. applies AI technology to the tire manufacturing process, which can effectively improve the quality and production efficiency of tires, reduce production costs, and enhance the company’s market competitiveness.

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Looking to the future, SoftControl is expected to continue to explore in depth the application of AI technology and further expand application scenarios.
For example, AI technology may be applied to tire research and development to develop better-performing tire products through simulation and analysis.
At the same time, in terms of production management, AI technology can also be used to achieve more intelligent production scheduling and quality control.

Software’s active exploration and practice in AI application scenarios has injected new vitality into the development of the tire manufacturing industry.
It is believed that in the future, with the continuous advancement of technology and the continuous expansion of applications, Ruankong Co., Ltd. will achieve more significant results in the field of tire manufacturing and make greater contributions to promoting China’s tire manufacturing industry to the world.

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