Linghe Digital and Zhejiang Yahua Join Forces to Drive AI Integration Across Auto Parts Manufacturing

Deep News
09/08

Hangzhou Linghe Digital Technology Co., Ltd. (referred to as "Linghe Digital") has entered into a partnership with Zhejiang Yahua Auto Parts Co., Ltd. (referred to as "Zhejiang Yahua"), marking a significant step in their shared push toward digital transformation. The collaboration focuses on applying multiple AI-powered digital employees across core operational areas such as demand management, production coordination, and financial settlement.

The two parties aim to establish a comprehensive AI application framework that spans the entire chain, from demand forecasting and production synchronization to settlement and payment collection. The initiative is designed to strengthen the connections between these critical stages, enhancing the speed and accuracy of business responses while improving cross-departmental collaboration efficiency.

Key application scenarios include detecting shifts in customer demand, facilitating information sharing across departments, and verifying business documents. By leveraging the coordinated work of AI digital employees, the project also targets earlier identification of inventory risks, smoother flow of business data, and greater transparency in capital management. This approach signals a move beyond single-task automation toward broader, cross-functional business integration.

Zhou Jiawang, project leader at Zhejiang Yahua, noted that the company has always emphasized the integration of digital technology with production and management. He described the partnership as an important step based on real business needs, supporting the company's ongoing efforts in digitalization and intelligent upgrades. He expressed confidence that deploying AI digital employees in sales, planning, and finance will further enhance internal collaboration and responsiveness, ultimately contributing to high-quality development.

Wang Ting, Chief Customer Officer at Linghe Digital, highlighted that auto parts manufacturing involves complex processes and high coordination demands, offering rich potential for AI applications. She stated that the cooperation will tailor AI digital employees to the specific roles and operational requirements of Zhejiang Yahua, enabling systematic deployment within key workflows and gradually building a closed-loop system that connects demand management, production coordination, and settlement processes.

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