One out of every five sweaters worldwide is made in Dalang, Guangdong. Behind this statistic lies a full-industry-chain ecosystem with an annual transaction value exceeding 72 billion yuan. However, at the 95th International Wool Textile Conference, the focus shifted from output to how to preserve this 'one-fifth' certainty amid global supply chain restructuring.
Fundamentals: The Paradox of Profit Growth and Investment Divergence
Data from the China National Textile and Apparel Council reveals that from January to April this year, revenue of enterprises above designated size dipped 0.3% year-on-year, but total profit surged 19.3%, with a profit margin of 2.9%. This seemingly contradictory data reveals a structural shift—companies are no longer chasing scale but improving profitability through product upgrades and cost control.
Investment signals are more complex. Fixed-asset investment in the textile sector grew 10.8%, but garment and chemical fiber sectors fell 10.3% and 14.5%, respectively. This indicates capital is concentrating in upstream manufacturing like fabrics and spinning, while downstream garment processing and chemical fiber face overcapacity and weak demand. Dalang's wool industry sits in the middle—it must either move upstream into high-end functional wool or face greater competition in garment making.
Technology: AI Is Redefining 'Weaving'
The conference theme 'Smart Weave Future' is not hollow. Real cases show AI penetrating every link. Jiangsu Yuedai Textile's 'Lighthouse Factory' data shows smart manufacturing reduces labor per 10,000 spindles by 70%, boosts labor productivity fourfold, and cuts energy consumption by 15%. This means Chinese wool enterprises can maintain global competitiveness through technology investment despite rising labor costs.
More notable is AI's application in design and marketing. Semir's AI-assisted design system boosts R&D efficiency by 35% and pattern design efficiency by over 200%. Bosideng's 'AI Aesthetic Brain' reduces sample development costs by over 60%. For wool, digitizing natural fiber color, texture, and touch has been a challenge, but AI is breaking this bottleneck. Dalang factories that convert local craft data into AI-callable models will build hard-to-replicate tech moats.
Consumption: Experience Economy Forces Supply Chain Flexibility
The global consumer market is splitting into three tiers: mass market seeking extreme value, mid-market valuing health and sustainability, and high-end market emphasizing personality and emotional connection. Wool is naturally tied to 'warmth,' 'natural,' and 'health,' but consumers now demand 'experience' from the product to the purchase process.
Data shows retail sales of garments, shoes, hats, and textiles above designated size grew 8.1% in January-April, accelerating 5 percentage points from last year. Yet textile and apparel exports rose only 0.1%, with garment exports down 1.6%. Strong domestic demand contrasts with weak external demand, requiring wool enterprises to be flexible for both domestic quick-response orders and international long-term orders. Dalang's cluster advantage lies in responding quickly to small-batch, multi-variety orders, but only if supply chain data is integrated.