Twenty-One Cases from Our City Selected for Zhejiang Province's First Batch of Typical AI-Enabled Manufacturing Cases

Recently, the Department of Economy and Information Technology of Zhejiang announced the typical cases of AI empowering manufacturing in the Zhejiang Province in 2025. A total of 21 cases from our city were selected, including the Geely Automobile Research Institute's "AI Smart Wind Resistance Prediction System Improves Both Prediction Efficiency and Accuracy" and CNOOC Daxie Petrochemical's "Tunnel Smart Robot Based on AI Model".

This case collection initiative aims to focus on the practical application of AI technology in core business processes and scenarios within manufacturing. It highlights the use of AI services, such as large models, to address pain points and challenges in industries and enterprises, exploring pathways and models for AI to empower manufacturing, and developing a batch of high-value, demonstrative, replicable, and scalable application scenarios in key industries.Among the selected cases from our city, 11 are typical application practice cases and 10 are typical empowerment model cases, ranking the first and the second in the two major categories respectively. The total number of cases accounts for 20.4% of the province's total. In terms of industry sectors, the 21 awarded cases from our city cover key areas such as digital economy (6 cases), equipment (9 cases), consumer goods (2 cases), and materials (4 cases).

For the next step, our bureau will resolutely implement the CPC Ningbo Municipal Committee and the Ningbo Municipal People’s Government's strategic deployment on AI empowering new industrialization, vigorously promote "AI+", deepen the digital transformation of manufacturing, and emphasize that "cases are pathways". We will support key enterprises, colleges and universities, research institutes, and scientific institutions in focusing on innovation exploration of key links, pain points, and challenges in "AI+ manufacturing", accelerate the enabling application of AI in the manufacturing sector, establish and improve regularized and standardized mechanisms for discovering, collecting, and promoting typical cases, and swiftly develop a batch of excellent practices and experiences in AI-enabled manufacturing, striving to create provincial and national demonstration benchmarks.