In an era of shrinking profit margins in the textile industry, a fabric mill that has adhered to custom-order production for 24 years is trying to break the limitations of traditional sample viewing through digital tools. Zhejiang Shengdanu New Material Technology Co., Ltd. (hereinafter referred to as 'Shengdanu'), with a 20,000-square-meter plant in Haining and balanced domestic and export sales, exemplifies the common challenges faced by Chinese source fabric mills: how to maintain quality amid cost fluctuations and price wars while finding new growth touchpoints.
Background
Founded in 2002, Shengdanu has always focused on fabric R&D and weaving, avoiding stock goods. Customers provide samples or color cards for pre-production confirmation, with a regular production cycle of 15-30 days. This model maximizes customization but also means raw material costs dominate production costs, directly passing fluctuations to downstream brand clients. In recent years, volatile chemical and fiber raw material prices have led some brand clients to shelve purchase plans or reduce order volumes, causing order rhythm fluctuations.
Industrial Impact
Shengdanu's response is representative. The company adheres to high environmental standards, using fluorine-free and eco-friendly dyes, ensuring fabrics pass European and American market tests, thus retaining high-end orders. Its foreign trade segment mainly serves European and American brands, with fabrics exported to Southeast Asian garment factories for apparel processing; domestic clients are concentrated in textile clusters like Shaoxing, Guangdong, and Jiangsu, some of whom re-export the fabrics, forming a linked trade chain. This dual-circulation structure diversifies market risks.
Moreover, the company recognized the limitations of traditional sample viewing and joined the Dongsheng Road Outdoor Fabric Zone last year, integrating with the AI Fabric mini-program to digitize multiple fabric samples. By uploading fabric photos, the system generates corresponding garment styles, allowing buyers to visualize the final product. This digital attempt aims to break physical sample constraints and enhance online customer acquisition. However, the company admits that AI-generated styles are currently limited to sportswear, hoping to expand to other categories.
From an industry perspective, Shengdanu's practice reveals a trend: the competitiveness of custom-order mills no longer relies solely on production capacity and quality; digital display capabilities are becoming a new differentiator. For small and medium-sized fabric enterprises, AI tools lower the technical barrier for online display, but converting online traffic into actual orders remains a challenge.
Practical Recommendations
For Buyers - During sample confirmation, request AI garment renderings to assess fabric-style compatibility early, reducing sampling iterations. - Verify suppliers' environmental certifications and test reports to ensure compliance with target market standards, avoiding compliance risks. - Establish long-term framework agreements with suppliers, including price adjustment mechanisms for raw material fluctuations, to stabilize procurement costs.
For Foreign Trade Companies - Explore integrating digital fabric libraries into customer management processes, using AI-generated multi-style garment images to assist overseas clients in product selection, shortening communication cycles. - Leverage the dual-circulation structure to balance European and American orders with domestic re-export demand, reducing reliance on a single market. - During raw material cost fluctuations, proactively share cost breakdowns with brand clients to negotiate reasonable price adjustments and maintain long-term partnerships.
Shengdanu's case shows that self-innovation for established fabric mills requires both adhering to manufacturing fundamentals and embracing digital tools. In an era of price wars, enterprises that can respond quickly to customer needs while enhancing service efficiency through digitalization are more likely to stand firm in the changing landscape.