Core Insights - Traditional supply chain demand forecasting methods have significant limitations, relying heavily on human experience and simple statistical models, which struggle to adapt to sudden market fluctuations [1] - A breakthrough in material demand forecasting was achieved through a collaboration between RRS Supply Chain and China Mobile, resulting in the development of an AI-based forecasting project that won a second prize at the 18th Modern Logistics Technology Innovation Conference [1] - The project successfully integrated the Transformer model into material demand forecasting, allowing for precise capture of individual product demand patterns and insights into complex inter-product relationships, thus transforming supply chain decision-making from reactive to real-time and automated [1] Operational Impact - The project demonstrated significant operational improvements, achieving a monthly average purchase volume reduction of over 20% while maintaining year-on-year sales growth [2] - Inventory turnover days were drastically reduced from 120 days to 26 days, resulting in a 462% efficiency increase [2] - The total supply chain cost savings amounted to millions of yuan per month, greatly enhancing capital utilization efficiency and addressing long-standing discrepancies between forecasts and actual sales [2] Future Outlook - RRS Supply Chain aims to deepen its centralized and standardized management advantages in the telecommunications sector, further promoting intelligent supply chain upgrades to contribute to high-quality development in the industry [2] - China Mobile expressed its commitment to continue collaborating with RRS to drive innovation and deliver more technological benefits to society [2] - The project's value extends beyond technological breakthroughs, as it reconstructs traditional supply chain decision-making mechanisms by replacing experience-based judgments with data-driven approaches and algorithmic predictions, providing a replicable and scalable path for the industry's digital transformation [2]

Core Viewpoint - The strategic partnership between Digital China Holdings Limited's subsidiary, KJ, and YTO Express aims to create a benchmark "warehouse and distribution integration" ecosystem, providing end-to-end supply chain solutions and promoting digital transformation in logistics through collaboration in big data and AI technologies [1][2]. Group 1: Partnership Details - The agreement focuses on three main areas: business collaboration, resource integration, and technological innovation [1]. - KJ and YTO will jointly develop customized "warehousing + distribution" solutions tailored for key industries such as e-commerce, beauty, and apparel [1][2]. - KJ will prioritize providing warehousing management capabilities to YTO, while YTO will ensure reliable delivery capacity and timely service for KJ's clients [1][2]. Group 2: Industry Impact - The collaboration is expected to shift the logistics industry from "single link optimization" to "full-link intelligence," enhancing supply chain responsiveness and cost control for clients in sectors like e-commerce and beauty [2]. - The partnership aims to improve reverse logistics efficiency for high return rate categories, such as apparel, by leveraging KJ's warehousing strengths and YTO's delivery capabilities [2]. - In the context of cross-border e-commerce, the partnership will enhance supply chain responsiveness for industries like 3C and fast-moving consumer goods, providing integrated support for Chinese companies expanding overseas [2]. Group 3: Company Profiles - KJ operates over 150 warehouses, covering approximately 300 cities, with a maximum daily order processing capacity of 5 million [3]. - YTO Express, a leading player in the domestic express delivery industry, has over 5,000 branches and more than 100,000 service outlets and terminal stores [3]. - The collaboration aims to leverage the strengths of both companies to create synergistic effects in the logistics supply chain sector [3].