Keqiao District in Shaoxing City, Zhejiang Province, recently became the focus of the national textile industry. At the highly anticipated China Printing and Dyeing Conference, the textile industry’s first AI-powered large-scale model, “AI Cloth,” officially launched version 1.0. This groundbreaking achievement not only marks a new stage in the deep integration of the traditional textile industry and artificial intelligence technology, but also provides a new path to overcoming long-standing development bottlenecks in the industry.
Precisely addressing industry pain points, six key functions break down development shackles.
The development of the “AI Cloth” large-scale model addresses two core pain points in the textile industry: information asymmetry and technological gaps. Under the traditional model, fabric buyers often spend a significant amount of time navigating various markets, yet still struggle to accurately match demand. Manufacturers, however, often face informational barriers, leading to idle production capacity or mismatched orders. Furthermore, small and medium-sized textile companies lack capabilities in technology research and development and process optimization, making it difficult for them to keep pace with industry upgrades.
To address these issues, the public beta version of “AI Cloth” has launched six core functions, forming a closed-loop service covering key links in the supply chain:
Intelligent Fabric Search: Using image recognition and parameter matching technologies, users can upload fabric samples or enter keywords such as composition, texture, and application. The system quickly locates similar products in its massive database and pushes supplier information, significantly shortening procurement cycles.
Precise Factory Search: Based on data such as a factory’s production capacity, equipment, certifications, and expertise, it matches orders with the most suitable manufacturer, achieving efficient supply-demand matching.
Intelligent Process Optimization: Leveraging massive production data, it provides companies with dyeing and finishing parameter recommendations, helping to reduce energy consumption and improve product quality.
Trend Forecasting and Analysis: Integrates market sales, fashion trends, and other data to predict fabric trends, providing a reference for companies’ R&D and production decisions.
Supply Chain Collaborative Management: Connects data from raw material procurement, production and processing, and logistics and distribution to improve overall supply chain efficiency.
Policy and Standards Query: Provides real-time updates on industry policies, environmental standards, import and export regulations, and other information to help companies mitigate compliance risks.
Leveraging industry data advantages to create a grounded AI tool
The birth of “AI Cloth” was no accident. It stems from the deep industrial heritage of Keqiao District, known as China’s Textile Capital. As one of the most densely populated regions in China for textile production, Keqiao boasts a complete industrial chain spanning chemical fiber, weaving, printing and dyeing, and apparel and home textiles, with an annual transaction volume exceeding 100 billion yuan. The massive amount of data accumulated over the years by platforms like the “Weaving and Dyeing Industry Brain”—including fabric composition, production processes, equipment parameters, and market transaction records—provides a solid foundation for the training of “AI Cloth.”
This “textile-inspired” data gives “AI Cloth” a deeper understanding of the industry than general-purpose AI models. For example, when identifying fabric defects, it can accurately distinguish between specialized defects such as “color fringes” and “scratches” during the dyeing and printing process. When matching factories, it can take into account the specific fabric processing expertise of different dyeing and printing companies. This grounded capability is its core competitive advantage.
Free access + customized services accelerate the industry’s intelligent transformation.
To lower the barrier to entry for businesses, the “AI Cloth” public service platform is currently open to all textile companies free of charge, allowing small and medium-sized enterprises (SMEs) to benefit from the benefits of intelligent tools without high costs. Furthermore, for large enterprises or industrial clusters with higher data security and personalized needs, the platform also offers private deployment services for intelligent entities, customizing functional modules to meet specific enterprise needs to ensure data privacy and system adaptability.
Industry insiders believe that the promotion of “AI Cloth” will accelerate the textile industry’s transformation toward high-end and intelligent development. On the one hand, through data-driven, precise decision-making, it will reduce blind production and resource waste, driving the industry toward “high-quality development.” On the other hand, SMEs can use AI tools to quickly address technological shortcomings, narrow the gap with leading enterprises, and enhance the overall competitiveness of the industry.
From “intelligent matching” of a single piece of fabric to “data collaboration” across the entire industry chain, the launch of “AI Cloth” is not only a milestone in the digital transformation of Keqiao District’s textile industry, but also provides a valuable model for traditional manufacturing to leverage AI technology to achieve “overtaking” and surpass competitors. In the future, with the deepening of data accumulation and the iteration of functions, “AI cloth” may become an indispensable “smart brain” in the textile industry, leading the industry towards a new blue ocean of greater efficiency and intelligence.
Post time: Aug-08-2025