浙江绍兴柯桥——为纺织业装上“AI大脑”

Core Insights - The launch of the AI model "AI布" aims to address inefficiencies in the textile industry, significantly reducing the time required for fabric sourcing from days to minutes [1][2] - The model is designed to provide a comprehensive solution to the industry's pain points, including low fabric matching efficiency and challenges in technology upgrades for small and medium enterprises [1][2] Industry Overview - Shaoxing Keqiao, known as the "International Textile Capital," has a complete industrial chain from polyester raw materials to garment manufacturing, producing 22.73 billion meters of printed and dyed fabric in 2024, accounting for nearly 40% of the national market share [1] - The region hosts 910 large-scale textile enterprises with a total output value of 140.6 billion yuan, providing a robust data accumulation environment for the AI model [1] Digital Transformation - The Keqiao District is promoting digital transformation across the textile industry, with over 110 dyeing and printing enterprises undergoing digital upgrades, and more than 80% of equipment being intelligent [2] - The "AI布" model leverages a database of over 300,000 fabric information entries and 18,000 technical achievements, which are crucial for its training [2] Functionality and Impact - The public service platform of "AI布" is free for enterprises, with private deployment services costing under 500,000 yuan, leading to reduced labor costs and faster delivery times [3] - The model aims to break down data silos among enterprises, facilitating better data utilization and promoting a shift from isolated AI applications to a more integrated approach [3] Future Prospects - "AI布" is expected to reshape supply chain models, moving towards a customer-to-manufacturer (C2M) flexible supply chain [3] - The initiative aims to create an open, interconnected, and intelligent digital ecosystem in the textile industry, attracting more enterprises and research institutions to participate [3]