Responding to investors' questions about the application of AI in apparel manufacturing, Semir (002563) recently clearly stated that the company is comprehensively promoting the implementation of artificial intelligence across the entire value chain of the fashion industry, covering multiple core links from creative design to terminal services, not limited to single scenarios such as fabric inspection.

Against the backdrop of international brands like Uniqlo using AI for quality control, Semir emphasized that its AI strategy is more systematic. Currently, the company has deeply applied AI in eight scenarios, including knowledge base construction, marketing copy generation, visual content shooting, short video production, clothing design assistance, digital human live streaming, intelligent customer service, and supply chain management. For example, AI can automatically generate initial design sketches based on trend analysis, shortening the creative cycle; digital human hosts achieve 7×24-hour uninterrupted live-streamed sales; intelligent customer service systems can accurately identify users' return and exchange intentions, improving response efficiency.

More importantly, Semir views AI as a catalyst for "redefining work models," rather than just an efficiency tool. By integrating data from design, production, marketing, and logistics, AI is driving cross-departmental collaboration from "experience-driven" to "data-driven." In the supply chain, the system can dynamically optimize regional product placement strategies by combining historical sales, weather forecasts, and social media trends, reducing inventory risks.

Semir stated that as a company with "fashion service" as its core positioning, it will continue to track cutting-edge technologies and deepen the integration of AI with its business. Although specific technology suppliers or investment scales have not been disclosed, its statement clearly conveys a message: in today's deepening competition in fast fashion, digital and intelligent capabilities are becoming the key moat for domestic brands to break through. Whoever better understands how to use AI to grasp trends, serve users, and allocate resources will be more likely to win the next decade.