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AI and 5G Drive Smart Manufacturing Transformation in China’s Textile and Garment Industry

AI and 5G Drive Smart Manufacturing Transformation in China’s Textile and Garment Industry

Date: July 24, 2026 | Yudu County, Jiangxi Province / Nationwide

China’s textile and garment industry, the world’s largest by export volume, is undergoing a profound transformation as artificial intelligence (AI), 5G connectivity, and smart manufacturing technologies reshape traditional production lines. From Jiangxi’s Yudu County to Zhejiang’s Shaoxing city, factories are deploying AI-powered inspection systems, digital twin platforms, and intelligent spinning equipment to boost efficiency and quality, signaling a new era for the sector.

Key Highlights:

  • Yudu County’s Digital Leap: 226 enterprises in Yudu, Jiangxi, have completed digital transformation, with 79.17% of above-scale enterprises digitized. The county has fostered 1 national-level and 4 provincial-level digital factories. Industry revenue has surpassed RMB 100 billion, backed by over RMB 500 million invested in 10 public service platforms, including the 12,600-square-meter FDC Fashion Industry Complex.
  • 5G+ Smart Factory Performance: Feiliwend Fashion’s “5G+” smart factory in Yudu increased production efficiency by over 30% after deploying AI fabric inspection, automated cutting, and intelligent overhead conveyor systems. Customers can now receive custom-tailored garments within 7 working days by simply uploading body measurement data.
  • Cutting-Edge Spinning Innovation: Weimian Textile Group, the first textile enterprise in China to achieve national-level Smart Manufacturing Maturity Level 3 certification, operates 62 ring-spinning machines in its “5G+” plant, each spindle equipped with smart sensors that transmit real-time data to a cloud platform and alert maintenance staff via smart wristbands in the event of thread breakage.
  • AI Quality Inspection Expands Nationwide: In Shaoxing, Zhejiang, AI-powered fabric inspection systems detect defects as small as 0.16 mm with 99% accuracy, boosting detection efficiency by 3 times. City-wide adoption of AI quality inspection has lifted detection efficiency by 160% and accuracy to 95%, with textile product pass rates rising 15.6 percentage points year-on-year.
  • Digital Dyeing and R&D Acceleration: AI-formulated dyeing recipes at Shaoxing Jinfa Printing & Dyeing have reduced proofing cycles and increased production efficiency by 30%. Dali Silk’s AI+3D digital twin platform has compressed new product R&D cycles from 15 days to 12 hours, with 80% of virtual sampling now completed digitally.

Tailor sewing fabric on a sewing machine in a workshop representing the textile and garment manufacturing industry

National Policy and Standards Driving Change:

In November 2025, China implemented national standard GB/T 45519-2025, incorporating AI-powered intelligent recognition into textile fiber testing for the first time. The standard, supported by the Ministry of Industry and Information Technology’s “Textile and Fashion Excellence Brand Cultivation Action Plan (2026-2028)” published jointly with four other ministries, provides a unified framework for AI-driven quality control across the industry. Downstream garment enterprises in Yudu, including Zaoyiku (denim wear) and Haofu Apparel (functional casual wear), have introduced smart washing equipment for reduced water consumption and launched anti-static, easy-care shirt series, demonstrating how AI and automation are enabling sustainable, high-value production.

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