In 2026, artificial intelligence in the wool textile industry has moved from "concept" to "full chain implementation", becoming the core engine driving the efficiency revolution. Especially in the country's core woolen weaving clusters such as Dalang and Honghe,AI The coverage rate has exceeded 90%It is fully penetrated from design, proofing to weaving and quality inspection, completely rewriting the production rhythm and cost structure of traditional wool spinning.
Taking Dalang, Dongguan as an example, as the "Chinese Woolen Capital", the annual output of sweaters here exceeds 900 million pieces, accounting for about 20% of the world's total, and each year 1 out of 5 sweaters is produced in Dalang. In the past, a sweater needed to go through scanning, pattern making, trial weaving, and repeated adjustments from design drawing to sample. Emoji"; font-size: 16px; font-weight: 400; line-height: 24px; text-align: start; white-space: normal; display: inline; flex: 0 1 auto; flex-direction: row; justify-content: normal; align-items: normal; padding: 0px; margin: 0px; background: none; background-color: rgba(0, 0, 0, 0);">Manual proofing by skilled masters usually takes 3–5 days, which results in a long cycle, high cost, and low error tolerance. Nowadays, with the help of AI pattern making system and intelligent flat knitting machine, font-weight: 400; line-height: 24px; text-align: start; white-space: normal; display: inline; flex: 0 1 auto; flex-direction: row; justify-content: normal; align-items: normal; padding: 0px; margin: 0px; background: none; background-color: rgba(0, 0, 0, 0);">Enter keywords 1–2 Design plans can be generated in minutes, and proofing can be completed in as little as 2 hours. Efficiency is increased dozens of times, and design costs are reduced by more than 60%.
Zhejiang, Jiangsu and other places are also accelerating the implementation of AI production lines. Zhejiang Qiuweite Fashion introduces 100 fully automatic integrated flat knitting machines,It only takes 30 minutes from yarn feeding to garment off-line, eliminating cutting, sewing and other processes, increasing production efficiency by 2 times, reducing labor costs by 35%, and increasing raw material utilization by 12%. The equipment networking rate of Jiangsu Sunshine Group's smart factory exceeds 90%, and the AI algorithm optimizes temperature, humidity and weaving parameters in real time, Emoji"; font-size: 16px; font-weight: 400; line-height: 24px; text-align: start; white-space: normal; display: inline; flex: 0 1 auto; flex-direction: row; justify-content: normal; align-items: normal; padding: 0px; margin: 0px; background: none; background-color: rgba(0, 0, 0, 0);">The rate of first-class products off the machine increased from 85% to more than 94%, and the customization delivery time was shortened by 64%.
For wool and wool spinning companies, AI brings not only speed, but also a qualitative change in the business model ——Small order quick response has become mainstream. In the past, factories tended to favor large-volume, long-lead orders; now through AI + smart devices, 16px; font-weight: 400; line-height: 24px; text-align: start; white-space: normal; display: inline; flex: 0 1 auto; flex-direction: row; justify-content: normal; align-items: normal; padding: 0px; margin: 0px; background: none; background-color: rgba(0, 0, 0, 0);">200-500 small orders can be responded quickly and delivered within 72 hours, perfectly adapting to the fragmented and personalized needs of e-commerce, live broadcast, and cross-border platforms.
In the future, with the advancement of the "Textile and Clothing Excellent Brand Cultivation Action Plan" by the Ministry of Industry and Information Technology and other five departments,AI + Textilewill penetrate deeper, covering scenarios such as intelligent quality inspection, virtual fitting, and supply chain prediction. For wool textile companies, embracing AI is not a multiple-choice question, but a must-answer question for survival and development.