On August 26, 2025, the cdie2025 Digital Innovation Summit for auto parts was successfully concluded in Shanghai. With the core theme of "smart manufacturing upgrading, leading the new era of auto parts", the summit brought together more than 150 auto parts enterprise executives, CIOs/CDOs and digital experts to discuss the way to break the situation of the industry's transformation from "single point digitization" to "ecological progression intellectualization".
As a leader in China's ultra automation industry and a national small giant enterprise specializing in special and new products, i-Search was invited to attend the conference. Li Bo, general manager of the solutions department, delivered a keynote speech on "from automation to intelligence: practice change led by agents", sharing the practice path and Industry value of agent driven enterprise automation upgrading.
In the speech, Libo system combed the evolution of business process automation, pointed out the evolution of agent driven AI system from the basic system in the 1990s to the agent driven AI system in the 2020, and emphasized the transformation of automation paradigm brought by the agent -- upgrading from "actor type" traditional automation to "director type" agent automation, which has the advantages of goal orientation and independent decision-making.
At the same time, Li Bo also objectively analyzed the short board of the operation control of the agent, and proposed that the "agent+RPA" collaborative mode break the limitations: the agent is responsible for identifying the context, planning the path and other "cognition+decision-making" links, and RPA is responsible for precise operation and execution. The combination of the two can realize the end-to-end automation of complex processes, and promote enterprises from "process automation" to "task intelligence".
Aiming at the pain points of the auto parts industry, yisaiqi also showed the landing scene of the agent in the speech, such as
R&D: adaptation of new vehicle design regulations and BOM version comparison
Manufacturing: intelligent production scheduling and equipment health monitoring
Supply chain: supplier risk monitoring and automatic replenishment
After sales: priority sorting of repair orders
The agent can run through the whole link of enterprise R&D, production, procurement, logistics, finance and after-sales to help auto parts enterprises reduce costs and increase efficiency.
At this meeting, i-Search not only showed its technical precipitation and practical strength in the field of super automation, but also deeply exchanged transformation experience with industry partners. In the future, yisaiqi will continue to rely on the advantages of strategic cooperation with the College of artificial intelligence of Nanjing University, deepen the integration of "ai+rpa+agent" technology, create more targeted digital intelligent solutions for the auto parts industry, and help the industry break through the transformation dilemma and embark on a new journey of high-quality development.