On September 26, the "2025 (17th) Logistics and Supply Chain Digital Development Conference" was held in Shanghai, hosted by the China Federation of Logistics and Purchasing. The conference theme was "Digital Chain Integration, Intelligent Future." Kejie, a subsidiary of DC Holdings (00861), participated as a leading representative in the smart supply chain sector.
During the conference, the "Data Elements ×" Transportation Solutions Competition finals were held concurrently. The competition gathered numerous outstanding enterprises and university teams from across the nation, making it extremely competitive. Kejie's KingKoo Data supply chain control tower platform advanced to the finals with its leading capabilities. After on-site presentations and expert evaluations, the technical team achieved outstanding results and won the second prize. Additionally, the project was selected as a 2025 logistics data application and value mining case.
KingKoo Data supply chain control tower is a big data application platform independently developed by Kejie. With "platformization + intelligence + full-chain collaboration" as its core model, it focuses on providing intelligent and visualized supply chain management services for enterprise clients, helping customers reduce costs, increase efficiency, and enhance supply chain resilience.
As foundational infrastructure, Kejie has built a complete data center that breaks down data barriers through deep integration between business systems and the data center, achieving data connectivity and sharing. Based on data integration, analysis, and mining, it outputs precise real-time business insights—optimizing operational processes and improving efficiency across all supply chain segments while providing professional warehousing, transportation, and procurement recommendations to continuously address customer supply chain management pain points.
Building upon this foundation, KingKoo Data further achieves intelligent control and efficient collaboration across the entire supply chain. Through full-chain workflow visualization presenting data-driven analysis and introducing AI reinforcement learning and algorithmic models, it dynamically optimizes strategies and outputs optimal decisions in real-time during actual business operations. Supported by "one position, one screen," it directly empowers precise business decisions including production volume forecasting, intelligent order scheduling, warehouse positioning and picking path planning, packaging material recommendations, and transportation scheduling, while achieving real-time intelligent early warning.
In an automotive industry spare parts intelligent procurement case, through organizing data across 4 major categories, 58 detailed items, and 20 commonly used categories, order fulfillment rate reached over 95% on first attempt. In the e-commerce industry, through store merchandise analysis, it intuitively displays hot-selling material distribution in warehouses, creating warehouse operation heat maps and monitoring daily order receipt and production conditions for stores, achieving order delivery timeliness rates exceeding 99.7%.
In a leading food industry enterprise implementation, it helped clients break information silos, achieve full-process visualization, and effectively realize carbon reduction goals, with delivery efficiency improving over 20%, cost savings exceeding 5%, and material consumption reduced by 65%.
However, Kejie does not stop there. Building on AI decision-making applications, Kejie is actively exploring generative AI applications. At this conference, Tian Shen, Deputy General Manager of Kejie's Software and Intelligence Business Unit, delivered a keynote speech titled "The Last Mile from AI to Enterprise: Enterprise-level Supply Chain Intelligent Agent Application Sharing," introducing the company's successful experience in intelligent agent applications.
Combining long-accumulated industry knowledge bases, operational data, operating manuals, and other high-quality data with methodologies and big data capability advantages, Kejie has created the supply chain enterprise-level intelligent agent suite "Xiao Jin." Based on the "AI for Process" concept with "3+N" architectural design, the suite includes 3 core intelligent agents and N position-specific intelligent agents. Core intelligent agents address universal enterprise needs such as data queries, complex decision-making, and customer service, while position-specific intelligent agents are customized according to role characteristics, achieving full enterprise process coverage with broader future application prospects.
As a China Federation of Logistics and Purchasing 5A-level logistics enterprise, Kejie's business covers the entire supply chain service system including warehouse management, transportation and distribution, e-commerce operations, cross-border trade, software systems, and digital intelligent operations. It manages and operates over 160 warehouses with daily order processing capacity reaching up to 5 million orders.
With the implementation of national policies including the "Action Plan for Effectively Reducing Logistics Costs Across Society," "Special Action Plan for Accelerating Digital Intelligent Supply Chain Development," and "Three-Year Action Plan for 'Data Elements ×' (2024-2026)," digital intelligent development in the supply chain sector is advancing rapidly. Kejie's substantial achievements at this conference highlight the company's leading capabilities in related fields. Company representatives stated that Kejie will use AI full-stack technology as its core engine, combined with its "customer + ecosystem" strategy, to build a "technology-driven industry supply chain expert" brand image and strive to contribute greater strength to the rapid development of smart supply chains.