The competitive logic of the fabric industry is being rewritten by digitalization. While many merchants are still hesitating about whether to join e-commerce platforms, pioneers have embedded AI tools into product development. The practice of Geling Fashion shows that digitalization is not a slogan but a transformation of the entire chain from sampling to customer maintenance.

Background

Geling Fashion has been rooted in the Dongsheng Road market in Shaoxing for three years and has cooperated with an online platform for nearly two years. These timelines reflect a typical sample of online-offline integration in the fabric industry. As a core section of China Textile City, Dongsheng Road market hosts numerous fabric businesses, and Geling's customer base has extended to garment hubs like Guangzhou and Wuhan.

What is more indicative is the attempt by its head, Hu Jiabin, who is using an AI fabric mini-program to upload materials and generate trouser samples. This means AI technology has moved from concept to practical application, directly intervening in sampling. Traditional sampling takes days, while AI assistance could compress it to hours, adding immense value to quick-response orders.

Industry Impact

The divergence of customer demands is forcing fabric merchants to restructure operations. Geling's customers fall into two categories: price-sensitive ones prioritizing cost, and quality-oriented ones willing to pay for texture and finish. This split is not an isolated case but a natural result of shrinking profit margins in the garment supply chain—brands either go for volume or quality, with the middle ground narrowing.

Notably, Geling maintains old customers via WeChat routine communication while treating new customers as trial-order prospects. This segmented approach means merchants can no longer use a one-size-fits-all pitch. For buyers, it implies that supplier selection criteria are shifting from simple price comparison to comprehensive evaluation of service capability and responsiveness.

On the R&D front, inspiration sources are diversifying. Geling captures trends from fashion shows, designer websites, and industry member content, even extracting embroidery and decorative details from show images into its own designs. The underlying logic is that fabric innovation is no longer closed-door but a rapid translation of downstream fashion trends. Flexible adjustment of raw material ratios further indicates a shift from production-oriented to demand-oriented thinking.

Practical Advice

For Buyers - Prioritize suppliers with AI sampling capabilities to significantly shorten sample confirmation cycles and reduce communication costs. - Define your positioning clearly: if focusing on cost-effectiveness, examine the supplier's cost control; if pursuing quality, pay attention to fabric R&D details and raw material traceability.

For Trading Companies - Adopt segmented operations by using digital tools (e.g., CRM) to record customer preferences and make precise recommendations, avoiding one-size-fits-all quotes. - Integrate AI tools into product development, at least testing their efficiency gains on small-batch orders, and gradually accumulate digital transformation experience.

资料来源:全球纺织网查看原始资料
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