This study investigates the optimization of the cross-border e-commerce supply chain specifically within the global textile and apparel industry, a sector defined by high demand uncertainty and short product lifecycles. Traditional textile supply chains are burdened by challenges such as long lead times in fabric sourcing and garment manufacturing, high inventory costs of seasonal apparel, and a lack of transparency. Through a detailed case study of an ultra-fast fashion apparel enterprise (e.g., Shein), this paper constructs and examines a "digital technology-capability reshaping-supply chain performance" framework to explain how digital transformation addresses these endemic textile industry issues. The findings reveal that digital transformation reengineers the fashion supply chain by reshaping three core capabilities. First, digital platforms establish end-to-end visualization from raw material and fabric tracking to real-time monitoring of garment production, enabling immediate adjustments. Second, a digital ecosystem of textile and apparel suppliers fosters networked collaboration, enabling a flexible "small order, quick response" garment production model. Third, intelligent decision-making, powered by AI and big data, allows for demand-driven production based on real-time fashion trend analysis, minimizing apparel overstock risk. The study concludes that these reconfigured capabilities are the primary drivers for improving agility, cost efficiency, and resilience in the modern fashion supply chain, offering a practical reference for traditional textile and apparel enterprises.

textile industry, apparel industry, supply chain management, cross-border e-commerce, fast fashion