It has been learned that DC HOLDINGS (00861) subsidiary Kojie has formally entered into a contract with the well-known home gardening brand Heidi's Garden for the application of AI and unmanned picking vehicles. This agreement marks the first collaborative AI project following the strategic partnership established by the two parties in 2025, and serves as a flagship practical case for the newly launched "xᴬᴵ·Supply Chain" ecosystem co-creation plan unveiled by DC HOLDINGS at the Digital Cloud Native Power 2026・Power Forum. The successful implementation of this model signifies the completion of a closed-loop for the lightweight deployment of AI in supply chains.
From a Foundation of Trust to AI Co-Creation: An AI Application Born from a Specific Pain Point
This collaboration focuses on addressing core challenges at Heidi's Garden's large-scale, thousand-acre facility, including optimizing picking efficiency, reducing reliance on manual scheduling, and adapting to difficult gravel road conditions. It aims to build an integrated solution featuring "3 major visualization dashboards + 1 complete unmanned picking closed-loop process." This encompasses three core dashboards for warehouse monitoring, logistics oversight, and AI scheduling. Simultaneously, it establishes a full-process unmanned picking closed loop, from wave generation and task assignment to AGV unmanned vehicle execution and review monitoring, effectively upgrading from simple "unmanned vehicle delivery" to a comprehensive "AI brain" system. By leveraging AI algorithms to optimize route planning and order matching, the solution effectively tackles issues like large site area and inefficiencies of traditional scheduling methods, comprehensively enhancing warehouse and logistics operational efficiency.
Since signing the strategic cooperation agreement in 2025, both parties have embarked on a comprehensive layout for digital and intelligent transformation. Previously, DC HOLDINGS' Kojie had successfully implemented a WMS warehouse management system for Heidi's Garden, with solid digital services building deep customer trust. Building on this foundation, the co-creation team continuously explored solutions based on on-site operational pain points. Starting from the initial discovery of core issues—such as 50-minute round trips for picking and reliance on manual experience for order batching—the team first proposed an unmanned vehicle delivery solution adapted to gravel road scenarios, ultimately iterating and upgrading to a full-link intelligent solution empowered by AI. This opened up the imaginative space for moving from traditional informatization to deep AI integration.
The "xᴬᴵ·Supply Chain" Co-Creation Plan: Evolving AI from "Seeing" to "Deciding," from Isolated Points to an Ecosystem
The partnership with Heidi's Garden also stands as a core practice within DC HOLDINGS' "xᴬᴵ·Supply Chain" ecosystem co-creation plan. Addressing common industry challenges in AI implementation—such as data black boxes in legacy systems, AI applications stopping at visualization dashboards, and an emphasis on display over decision-making—this plan abandons the capital-intensive "build the platform first, find the scenarios later" model. It pioneers the "AI First FDE" implementation methodology, adopting an agile path of "lightweight diagnosis + real-scenario POC validation." The process involves completing an AI diagnosis of high-value supply chain nodes within 1-3 days to precisely identify optimization opportunities, followed by building a Minimum Viable Product (MVP) for validation and launch within two weeks using the customer's real data. This allows customers to see tangible results first, then independently decide on the depth of subsequent cooperation, significantly reducing trial-and-error costs in transformation.
In the Heidi's Garden project, AI has moved beyond merely displaying information on data dashboards. It is now deeply embedded in the complete picking closed loop—from wave generation and task assignment to AGV scheduling, review/unloading, and risk alerts. Stocking decisions have been upgraded from manual experience to "AI suggestions + human confirmation," inventory management has shifted from post-facto counting to real-time alerts, and cross-process coordination has changed from manual handoffs to system-automated triggers, achieving a qualitative leap from "seeing data" to "aiding decision-making."
As co-creation projects continue to be implemented, the data assets, business rules, and industry know-how accumulated by enterprises will form a capability flywheel that becomes "richer with use, faster as it gets richer"—more projects lead to richer semantic assets; richer assets lead to stronger AI capabilities; stronger capabilities lead to higher subsequent implementation efficiency. A relevant business head at DC HOLDINGS stated that the company will continue to advance the "xᴬᴵ·Supply Chain" ecosystem co-creation plan, opening its technical capabilities and implementation experience to the entire industry. By collaborating with more partners to deeply explore pain points across all supply chain scenarios, the initiative aims to use the power of ecosystem co-creation to accelerate the large-scale implementation of industrial AI in the real economy, truly achieving a comprehensive upgrade from digital quantitative change to intelligent qualitative transformation.