←News detail

YicaiUpdated Nov 2 15:10

Anji Explores "AI + Manufacturing" Through Public Platforms and Enterprise Scenarios

AI summary

Anji County plans to drive more than 100 enterprises in the green home furnishing industry to apply artificial intelligence by 2027, build more than 8 industrial intelligent agents, and raise the share of cognitive decision-making application scenarios to over 30%. Relying on self-developed large models, screen semantic understanding, and RPA execution capabilities, the locality enables AI to retrieve data and fill out forms across systems without modifying existing systems or opening interfaces, forming an empowerment network of "public platforms + specialized platforms + enterprise scenarios." Anji has currently released 18 artificial intelligence application scenarios, and the digital transformation 2.0 coverage rate of above-scale enterprises has reached 87%.

Body · AI translation

Using real manufacturing scenarios as resources, Anji, China's "Hometown of Chairs," is promoting the spread of AI from leading enterprises to small and medium-sized enterprises, exploring a county-level empowerment network of "public platforms + specialized platforms + enterprise scenarios." According to the plan, by 2027, the number of enterprises in Anji County's green home furnishing industry applying artificial intelligence will reach more than 100, more than 8 industrial intelligent agents will be built, and the proportion of cognitive decision-making application scenarios will rise to more than 30%.

Manufacturing enterprises generally face the problem that "the more systems there are, the harder collaboration becomes": systems such as ERP, MES, OA, finance, and supply chain each manage only one part, and a large amount of work still relies on people copying, checking, and transferring between different interfaces. To address this pain point, users can propose goals in natural language, and the above-mentioned platform invokes intelligent agents, workflows, knowledge bases, and connectors to complete tasks across web backends, local files, desktop software, and business systems, while accumulating the process into assets that teams can reuse.

In terms of the technical path, the platform relies on self-developed large models, screen semantic understanding technology, and RPA execution capabilities. Without modifying existing systems or requiring open interfaces, it enables AI to "understand" screens, operate software, retrieve data and fill in forms across systems, and control execution boundaries through permissions, credentials, logs, and manual confirmation mechanisms.

A relevant person in charge of the Anji County Economic and Information Bureau said that Anji's development of artificial intelligence does not seek to cover everything, but rather treats real manufacturing scenarios as its greatest resource. Next, Anji will include such platform-based products in the "small, fast, lightweight, and precise" product catalog and scenario matching system, focusing on promoting three types of implementation: first, replicating and promoting them in links such as R&D and design, production scheduling, quality inspection, and marketing services in green home furnishing; second, expanding applications in industries such as high-end equipment and biomedicine; third, connecting data with the Anji County Artificial Intelligence Service Platform, the Green Home Furnishing Industry Brain, and the Enterprise Brain to form an empowerment network of "public platforms + specialized platforms + enterprise scenarios."

English text is being prepared.

At the same time, Anji will improve the operating mechanism of the "Scenario Office," dynamically release lists of scenario requirements, plan policy tools such as computing power vouchers, model vouchers, and scenario vouchers, give play to the demonstration role of 60 AI application cultivation targets, support local service providers in developing lightweight, modular, and configurable solutions for small and medium-sized enterprises, and promote AI from "leading enterprises going first" to "broad rollout across the board."

Source

Yicai