未上线先受热捧第九只鹿五大引擎雏形初现 欲改写服装电商产业逻辑

Core Insights - The traditional apparel e-commerce industry is facing "efficiency anxiety," with issues in customer service response, marketing spending, and supply chain disconnects leading to inventory buildup. Existing single-point technology tools are inadequate to solve these challenges [1][3] - The AI technology company, Ninth Deer, has developed a collaborative system of five intelligent engines aimed at transforming the operational model of apparel e-commerce, which has garnered significant interest from merchants even before its official launch [1][12] Industry Challenges - Many apparel e-commerce businesses have adopted AI tools, but due to lack of data interoperability and collaboration among these tools, the industry still experiences a 18%-25% value loss rate, with only a 3% reduction achieved. Core issues like stockouts and ineffective marketing remain unresolved [3] - A survey indicates that by 2025, over 70% of small and medium-sized apparel e-commerce businesses in China will have integrated at least one AI tool, highlighting the urgent need for a comprehensive intelligent system that connects design, production, marketing, and service [3] Product Development - Ninth Deer initiated the development of its intelligent system in early 2024, focusing on addressing pain points accumulated over 20 years in the apparel industry, such as inventory buildup and lost orders due to slow customer service response [3][11] - The intelligent customer service platform, currently in internal testing, utilizes multi-modal interaction and deep learning to provide rapid responses, significantly improving efficiency compared to traditional customer service methods [5][10] Intelligent Engines - The internal testing phase of the product includes a predictive algorithm that integrates user demand profiles, allowing for flexible inventory management and responsive marketing decisions [7] - The visual production center leverages generative AI technology to produce marketing materials at a significantly reduced cost and increased efficiency, with a 10-fold improvement in output and a 70% cost reduction compared to traditional methods [9][10] Market Reception - Despite not being officially launched, the unique collaborative logic and promising internal testing results have attracted interest from numerous apparel merchants, with over 55% of pre-orders coming from small and medium-sized businesses [12] - The product is expected to officially launch by December 2025, with plans to incorporate additional industry data to create a comprehensive intelligent ecosystem for apparel e-commerce [12]