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Where Does The "AI Road" Of Textile Industry Lead To In The Future?

2025/2/18 18:51:00 2

　　 Reporter Xia Xiaoyun

　　 When the wave of AI swept the world, the textile industry also ushered in an unprecedented opportunity for change. DeepSeek and other AI technologies are like a "smart loom", which uses AI as the silk thread to connect every link of the design, production, marketing and supply chain, thus creating a digital future blueprint for the traditional textile and clothing industry. On this blueprint, the big model of the dyeing and finishing industry's first vertical field, the AIGC design big model of Mastery, and the Seven Brand AI Life Helper are jointly interpreting the digital rebirth of the ancient industry.

　　 When AI meets design: from inspiration to mass production revolution

　　 Once, design was the most romantic "handicraft" in the textile industry. Now, AI gives it industrial precision and efficiency. In the traditional design process, designers often need several weeks to complete the pattern idea, and the emergence of AI makes all this different. Symmpix's AI fabric design platform is like an tireless creative assistant. With cutting-edge AI and 3D visualization technology, it provides brands, designers and manufacturers with overall solutions from product design to large finished products and sales. It not only innovated the design process, but also significantly shortened the time from concept to finished product, reduced the cost, and halved the carbon emissions.

3D display effect picture of Mastery customized silk scarf

　　 The AIGC system of Mastery Group is even more amazing. This self-developed AIGC design model, with more than 500000 pattern databases and more than 300 image algorithms, can design 100000 scarves for each of the world's 8 billion people without duplicating the pattern, making every consumer a "scarves artist". With the help of Mastery GBART digital green printing all-in-one machine, users can immediately enter the customized production process after completing the scarf design on the applet, and can receive this exclusive scarf in 24 hours at the earliest. In contrast, traditional printing and dyeing needs 500 meters to start, and the construction period is at least 15 days.

　　 The subversion of AI in the design field is not only reflected in the improvement of efficiency, but also in the reconstruction of the boundary of "human-computer cooperation". AI is no longer a cold tool, but an "inspiration partner" of designers, which can quickly transform the unconstrained creativity into commercial value.

　　 The awakening of intelligent factory: from "experience driven" to "data alchemy"

　　 In the textile workshop of Fujian Donglong Knitting Co., Ltd., the intelligent "AI quality inspector" is exerting his skills to carry out a fine "physical examination" for each product. This system, with its excellent defect recognition ability, has an accuracy rate of more than 99%. This is not a scene in a science fiction film, but the "golden eye" that AI gives to textile manufacturing.

　　 In addition to AI's visual inspection technology being widely used by enterprises, AI driven digital cotton blending technology has also brought many benefits to enterprises. Digital cotton blending technology can greatly reduce human error, reduce raw material cost and improve production stability. It is reported that the AI system can automatically optimize the cotton blending scheme, reducing the cotton grade by 0.5 grade on average, and reducing the difference between batches.

　　 Aiming at the inspection problems of spinning enterprises, Wuxi Internet of Things Innovation Center has developed a set of spinning industry Internet collaborative manufacturing platform. Through real-time monitoring of equipment status and optimization of process flow, the enterprise has realized the double improvement of production efficiency and quality.

　　 Moreover, the application of AI technology in the production process of textile and clothing enterprises also continues to innovate. Based on years of deep cultivation and accumulation in the textile dyeing and finishing industry, and the powerful capability of DeepSeek big model, TRZhilian officially launched the first big vertical model of the textile dyeing and finishing industry. Through the integration of massive industry data and industry knowledge base for training, this large vertical field model can deeply understand and cope with complex challenges in the dyeing and finishing process, thus providing high-precision and practical intelligent support for enterprises. The relevant person in charge of TRT said that in the future, TRT will continue to deepen the AI technology and integrate it into the DeepSeek big model to promote its application in formula optimization, process optimization, energy saving and consumption reduction, exception handling and other scenarios, and create greater value for enterprises.

　　 Huafu Technology has made a heavy upgrade, launched DeepSeek series models, and launched the "Computational Power+API" dual engine. The deployed DeepSeek R1 and V3 models are high-performance, low-cost and open source, and have already performed excellently in many fields. It provides dual mode driven services: flexible computing services provide high-performance GPU clusters for heavy load scenarios such as AI training, so that enterprises can obtain surging computing power without hardware investment; API is ready to use, encapsulates the standardized interface of DeepSeek model, reduces the development threshold and time cost, and accesses AI productivity at the minute level. They can be selected and combined on demand, pay as needed, and control cost accurately. In addition, Huafu will promote the privatization deployment plan for the high compliance industry, and build the textile industry AI super brain through the "three-step" strategy, opening a new era of enterprise intelligence transformation.

　　 The AI technology of Yida Textile has been deeply integrated into many production links, from automatic scale to automatic color preparation, to pattern design of shirt fabric and 3D virtual ready to wear. Especially in the printing and dyeing sector, Yida faces the problems of long training cycle of color mixers and high communication costs. For this reason, they independently developed a set of intelligent color matching system based on artificial intelligence integrated large model, which can automatically provide color matching formula, effectively improving work efficiency and reducing errors. Through the continuous training and learning of AI technology, the one-time pass rate of customers has increased from 80% to 92%. The system significantly reduces the dependence on the personal experience of color mixers, thus improving the accuracy and efficiency of dyeing. Xiao Jun, general manager of Yida Knitting Fabric Factory, pointed out that intelligent manufacturing not only gives machines new capabilities, but also maximizes economic benefits through technology integration. He said, for example, that the 63 sets of artificial intelligence equipment invested in the factory have significantly reduced the defect rate by 80%, which can save hundreds of thousands to millions of yuan every year.

　　 The deep logic of this change is to transform the "experience of the old master" into a replicable and optimized data model. AI not only replaces repeated labor, but also creates accuracy and synergy efficiency that are difficult for human beings to achieve.

　　 New era of marketing: from "spreading the net" to "mind reading"

　　 When Gen Z consumers slide the mobile phone screen, AI is decoding their every click, stop and sigh.

　　 In the process of digital transformation, Mercury Home Textile deeply applied the V3 and R1 versions of DeepSeek, and greatly improved customer service communication satisfaction through the layout of the big language model. With the help of AI's semantic analysis ability, enterprises conduct in-depth analysis of consumer evaluation, which provides a solid basis for commodity planning and operation strategies. It also introduces digital human technology in the live broadcast field, so that consumers can enjoy a new shopping experience. Due to the existence of digital human, it is no longer limited to time and space. Mercury Home Textile can continuously increase the size of the live broadcast track, significantly improving flexibility and stability.

　　 Qipai launched "Qipai AI Life Helper", which can deeply analyze user characteristics, style preferences and work and life needs in different scenarios with the help of advanced AI algorithms, and provide consumers with eight application scenario solutions, including one click weather information, travel maps, fashion information, and food recommendations. It can be called a personalized life consultant, Enhanced interaction and stickiness with consumers.

　　 Hongdou and Kudianzhang recently signed a strategic cooperation agreement to jointly promote the landing of the cutting-edge theme of "AI New Retail". This cooperation will help Red Bean reshape the whole life cycle management of its stores and improve operational efficiency, customer experience and business model. The AI technology of Kudianzhang covers many links from investment attraction and alliance, store location selection, store opening preparation to store operation empowerment. By combining AI big data analysis, Red Bean can accurately insight into consumer behavior and market demand, so as to achieve all-round optimization in supply chain, commodity management, store operation, etc. In particular, in terms of store management, AI empowerment has greatly improved the efficiency of collaboration between information flow and material flow, and the work progress of 1000 stores can be synchronized in real time, thus making the coordination between the headquarters and local stores more efficient. Wang Changhui, general manager of Red Bean, said that the strategic cooperation with Kudianzhang Technology marks a solid step for Red Bean towards deeper intelligent transformation. We hope to reshape the new retail experience and realize the sustainable development of the brand through AI empowerment.

　　 AI has torn off the label of "seeing flowers in the fog" of traditional marketing. By deconstructing consumer behavior data, brands can not only predict trends, but also create demand - this is the nuclear explosive point of intelligent marketing.

　　 Supply chain evolution: from "linear" gear to "intelligent nerve"

　　 In the traditional textile industry, the supply chain is like a rusty gear, often stuck due to information lag; AI provides it with the "digital nerve" of independent thinking.

　　 The "Tiangong" platform developed by Zhijing Technology focuses on the whole chain of garment manufacturing, building a flexible supply chain through cloud design, cloud version room and cloud factory, and promoting the "small order quick reaction" mode. The platform uses AI technology to optimize garment design and production processes to meet personalized order requirements.

　　 With the large model as the core, the Flower Cloud Service breaks the paradigm of scale economy, creates an innovative model of "single piece customization" in the clothing field, creates a new scene of digital future that can be actually implemented, realizes the popularization of single piece customization products through AI technology, and then combines AI identification to tailor clothes, making it a reality for people to order with one click. Through AI technology integration and upgrading, the whole supply chain truly achieves mass real-time customization, namely, sales and production. AI technology and digital upgrading and integration of the clothing industry chain have reduced the cost of customized products by 95% and shortened the time by 95%.

　　 The intelligent supply chain is no longer a simple "speed increase and cost reduction", but has evolved into an organic organism with self-awareness, decision-making and self optimization. It has transformed the textile industry from "determining sales based on production" to "determining production based on demand", reshaping the value chain of the entire industry.

　　 AI becomes the "second curve" of textile industry transition

　　 The integration of textile and artificial intelligence has become an established global trend. According to the prediction of the consulting company, by 2026, more than 80% of technology products will integrate some form of AI technology. In the field of intelligent garment manufacturing, generative AI technology has been comprehensively and deeply involved in all aspects of garment production, making design and research, production and supply chain management, precision marketing, sustainable development and other fields more automated and intelligent. By 2035, driven by generative AI, the digital rate of manufacturing industry will exceed 85%. By 2055, China's generative AI technology will basically realize the digital transformation of all industries, and the digital rate will reach 100%.

　　 In recent years, AI has made initial application in the production field of the textile industry, bringing unprecedented development opportunities to the textile industry. The integration of textile and AI has spawned three major trends: first, the material revolution. Smart fibers can sense temperature, regulate permeability, and sports clothes become "wearable air conditioners"; Secondly, the mode is subverted. C2M (user direct connection manufacturing) has changed the factory from "order receiver" to "demand creator"; As well as ecological reconstruction, the industry is forming a new triangle of "data-driven design intelligent flexible production precise demand matching".

　　 Of course, there are still many challenges in the application of AI in the production field at this stage. Yin Qiang, director of the Information Department of the China Textile Industry Federation, said that at the enterprise level, most enterprises are still in the stage of digital transformation, and the foundation of digital management and intelligent equipment needs to be further improved. At the industry level, the data is scattered and reserved within the textile industry, lacking effective cross-border data sharing and accumulation, a set of data standards and annotation protocols widely recognized for key data in the industry production field, and a systematic and large-scale data collection mechanism, which limits the training effect and accuracy of AI models and further application of AI in the industry.

　　 Based on the challenges and problems faced by AI development, Yin Qiang also proposed the "3+1" rule. Data is a new energy, computing power is a new engine, algorithms are new tools, and talent is the person who holds the steering wheel. He said that in order to maintain its development, artificial intelligence can be promoted in many ways. In typical application scenarios, deepen production optimization, intelligent detection and other technical solutions, cultivate and promote textile intelligent factories, and play a role of benchmarking. In terms of breakthrough in key technologies, relying on leading enterprises and scientific research institutes, research key common technologies, develop solutions such as smart cotton blending, break through core technologies, and consolidate the foundation of software and hardware. In terms of talent training, we should give play to the role of industry associations, integrate resources from all sides, build a "compound talent" training system, establish a learning channel, and hold special training with the help of industry alliances and other forces.

　　 In order to better play the role of the industry innovation platform and continue to promote the deep integration of AI and the textile industry, Li Lingshen, Vice President of the China Textile Industry Federation, suggested that: first, build an AI innovation public service platform for the textile industry and deepen the application of typical application scenarios in the industry; Second, improve the construction of AI enabled textile standard system, support and lead AI integration and innovation with standards; The third is to strengthen the training of compound talents and provide intellectual support for the development of AI enabling industry. Fourth, strengthen policy guidance and support to solve the technical bottleneck of AI enabling industry development.

　　 AI is not a "monster" to replace human beings, but an "ark" to liberate creativity. But data security, technical ethics, talent gap and other issues still need to be vigilant - when machines learn to think, human beings should stick to the commanding heights of value judgment.

　　 This change has no end. With the deep integration of AI, Metauniverse and Web3.0, perhaps in the near future, we will not only wear clothes, but also interactive "second skin"; Cloth can not only keep warm, but also monitor health and connect everything. The starting point of all this is the smart spark of AI in the textile industry today.