DC Holdings (00861) releases the AI Co-creation Program to build a new path for the lightweight landing of AI in the supply chain.

On June 9th, the opening forum of the Shuyun Original Power Conference was held. Centered around the core theme of "AI for Process, from quantitative change to qualitative change," DC HOLDINGS, with over twenty years of experience and insights in the supply chain field, addressed the existing challenges in the industry's intelligent transformation. They proposed the Supply Chain AI Control Tower solution and the "AI First FDE x Yan Yun Three-Piece Set" landing system. Additionally, they launched the "xSupply Chain" ecological co-creation plan, forming a complete chain of "pain point analysis - scenario solutions - landing support - ecological closed loop" to create a low-cost, deployable, and iterative intelligent transformation paradigm for physical supply chains. Responding directly to industry pain points, DC HOLDINGS introduced the Supply Chain AI Control Tower solution to break through transformation challenges. Currently, physical supply chains face issues such as supply-demand mismatches, fragmented operations, and low efficiency in manual scheduling. In addition, industrial AI implementation has encountered obstacles, with existing enterprise systems forming "data black boxes," critical rules relying on manual expertise, and AI applications often remaining at the data visualization level without integrating into core business or decision-making processes. To address these supply chain pain points, DC HOLDINGS proposed the Supply Chain AI Control Tower solution, which aims to reconstruct supply chain operations and management paradigms. This solution utilizes a three-tier architecture to integrate business processes comprehensively: the bottom layer integrates data from various business systems such as ERP, WMS, OMS, and TMS to break down data silos; the middle layer establishes AI workstations around six core elements including demand forecasting, procurement planning, warehouse network allocation, channel replenishment, fulfillment warning, and business attribution to enable intelligent decision-making at the job level; the top layer serves as a collaborative decision-making hub, enabling end-to-end situational visibility, cross-functional collaboration, and feedback on problem attribution. Different from traditional data visualization tools, the Supply Chain AI Control Tower enables AI to shift from merely "seeing data" to "aiding decision-making." In this system, stock decisions are upgraded from manual experience-based to "AI suggestions + human confirmation," inventory management shifts from post-event checks to real-time risk alerts, and cross-channel coordination becomes automated. For every 1% increase in decision quality in the supply chain domain, enterprises can achieve scalable benefits. This solution thus facilitates a transition from cost reduction and efficiency enhancement to a transformation in business models and management paradigms. By combining the "AI First FDE" implementation methodology and the "Yan Yun Three-Piece Set" technical foundation, DC HOLDINGS has established a coherent support system for the effective deployment of the Supply Chain AI Control Tower. The "Yan Yun Three-Piece Set" serves as the core technological cornerstone for industrial AI deployment, adapting traditional enterprise systems and data for efficient AI utilization. This set includes the Yan Yun DaaS for integrating heterogeneous data sources, the Yan Yun Infinity for standardized data governance and business modeling, and the Yan Yun Cortex as an AI semantic engine for business semantic modeling and process rule clarification. In terms of deployment methodology, DC HOLDINGS' "AI First FDE" methodology challenges the industry's traditional approach of building heavy asset platforms before identifying specific scenarios. Instead, it prioritizes real business scenarios within the supply chain domain and leverages high-value decision nodes. Based on existing enterprise data and business processes, projects can diagnose supply chain AI opportunities in a matter of days, implement minimum viable scenarios based on real data within weeks, validate intelligent value quickly, and significantly reduce the costs of enterprise transformation experiments. Through practical implementations in various brands, the project team successfully addressed multiple operational issues, transitioning from manual replenishment and allocation to automated daily operations. This experience has accelerated the deployment cycle from weeks to days, demonstrating the practicality and efficiency of this approach. By launching the "xSupply Chain" ecological co-creation plan, DC HOLDINGS aims to establish a complete closed-loop ecosystem for the implementation of AI for the Process concept in the supply chain field, ushering in a new phase of AI development. DC HOLDINGS emphasizes that traditional AI applications merely add tools to existing processes, representing a shallow "AI+" model. In contrast, the advanced "AI for Process" approach involves transforming not only technological paradigms but also organizational management and business models through deep AI integration. Through continuous project deployments, data accumulation, scenario rules, and industry know-how are solidified, leading to continued capability enhancement. Enterprise data assets and business experience are irreplaceable core assets in the AI era, and regular project practices contribute to their growth. The co-creation plan introduced in this initiative outlines a standardized collaboration path: initially conducting a 1-3 day high-value AI diagnosis in the supply chain and pinpointing optimization opportunities. Subsequently, leveraging real enterprise data to validate MVP scenarios within two weeks, clients can autonomously decide on the depth of future collaboration based on actual results. Throughout the collaboration, businesses can combine their operational experience with DC HOLDINGS' core data intelligence technology to co-create reusable intelligent capabilities. The more projects undertaken, the richer the semantic assets become, enhancing overall capabilities. This iterative process underscores the practicality and efficiency of this model. From precise analysis of supply chain pain points and the introduction of targeted AI Control Tower solutions to building robust implementation support through "AI First FDE + Yan Yun Three-Piece Set," and with the ecological co-creation plan ensuring a complete end-to-end process, DC HOLDINGS has developed a logical and practical evolution path for supply chain AI. The core logic behind this path is clear and resolute: to facilitate AI's integration into enterprise operations, moving from observation to decision-making, and from isolated breakthroughs to continuous iterative optimization. This system promotes in-depth AI integration into business processes and helps the supply chain industry transition from quantitative digitalization to qualitative intelligent transformation.