DC Holdings made an appearance at the 2026 Cross-border E-commerce Development Conference, empowering brands to go global with their "Supply Chain AI Control Tower".

On June 16, 2026, the Cross-Border E-Commerce Development Conference was grandly held in Langfang, Hebei. The conference was jointly hosted by the China Service Trade Association and the World Trade Point Alliance. The theme of the conference was "Building a Trusted Trade Mechanism to Support Brands Going Global," and it brought together professionals from universities, enterprises, associations, and other institutions to discuss the development trends and innovative paths of the cross-border e-commerce industry. During the conference, Zhang Hupo, Chief Technology Officer of DC Holdings, delivered a keynote speech, detailing the innovative application and core advantages of DC Holdings' "Supply Chain AI Control Tower" solution in the cross-border e-commerce scene, which attracted widespread attention from the attendees. At the same time, the highly anticipated "2025 China Cross-Border E-Commerce Annual Development Report" was released during the conference. In the "2025 China Cross-Border E-Commerce Service Provider Comprehensive Competitiveness Ranking," DC Holdings (Science and Technology Jet) successfully made the list, demonstrating the company's substantial strength and industry recognition in the field of cross-border e-commerce services. The report specifically mentioned that "Xiao Jin," the supply chain intelligent body independently developed by Science and Technology Jet under DC Holdings, performed well in the 2025 Double Eleven battle, becoming a typical case of AI technology empowering the supply chain. Zhang Hupo pointed out in his speech that the current cross-border e-commerce industry is generally facing the dilemma of AI technology "lingering at the door" - although most companies have deployed tools such as data visualization big screens and AI chatbots, AI has not truly integrated into the business decision-making process. He believes the root cause is that companies have data but are not using it. The data from various platform backends, overseas warehouse WMS, etc., are lying in the system without real analysis. As a result, in the decision-making stage, the AI prediction results cannot truly impact decisions on replenishment and allocation. To address these problems, DC Holdings introduced the "Supply Chain AI Control Tower," which integrates data, processes, and decision-making nodes to truly integrate AI into enterprise operations. The Supply Chain AI Control Tower adopts a three-layer architecture design: the bottom layer connects overseas warehouse WMS, ERP, TMS, as well as data from various e-commerce platform backends, and currency tariff data sources; the middle layer's AI workstations at each position, with the help of the "Xiao Jin" intelligent body, provide decision support for six core nodes including demand forecasting, first-mile planning, overseas warehouse allocation, cross-platform replenishment, fulfillment warning, and business attribution; the top layer AI control tower provides full-chain visual, collaborative decision-making, and attribution feedback capabilities, truly achieving the leap from "seeing data" to "assisting decision-making." For example, in the demand forecasting stage, the AI can predict the sales volume of each SKU and platform during peak season, outputting suggestions for replenishment and stocking across platforms and warehouses. In the first-mile planning stage, AI optimizes ocean and air freight scheduling and costs, outputting first-mile matrix solutions. In the overseas warehouse allocation stage, AI generates cross-warehouse allocation schemes through multi-warehouse stock heat analysis. In the cross-platform replenishment stage, AI formulates differentiated replenishment strategies and automatically triggers replenishment instructions. In the fulfillment warning stage, AI identifies out-of-stock, aging stock, returns anomalies in real-time, and provides disposal solutions. In the business attribution stage, AI breaks down the specific impact of exchange rates, logistics, and platform costs on gross profit. The "2025 China Cross-Border E-Commerce Annual Development Report" believes that the role positioning of Chinese cross-border e-commerce service providers is undergoing a fundamental transformation, gradually moving from early backend support to front-end co-creation. In the extreme scenario of the 2025 Double Eleven peak with tens of millions of orders, the "Xiao Jin" intelligent body's peak single order volume per second increased by 280% year-on-year. In daily operations, data query efficiency increased by 90%, customer service work reduced by 50%, complex document picking and sorting efficiency increased by 20%, packing efficiency increased by 15%, and order-making efficiency increased threefold. At the same time, it can directly participate in formulating enterprise inventory strategies, providing decision support such as "warehouse entry recommendation" and new warehouse location schemes to customers, indicating that logistics service providers are evolving from fulfillment executors to supply chain intelligent co-builders, forming a deep co-creation partnership with manufacturing enterprises. At the just concluded "Digital Cloud Force 2026Force Forum," DC Holdings launched the "xSupply Chain" ecological co-creation plan, hoping to accelerate the landing of industrial AI in core supply chain scenarios through co-creation. In the cross-border e-commerce scene, long shipping cycles of 30-45 days, varying inventory rules across multiple platforms, dense peak season nodes, and exchange rate fluctuations directly impacting gross profit are industry characteristics that make a 1% improvement in decision quality significant financial gains on a larger scale. Therefore, the effective harnessing of AI's value has become a crucial factor in determining competitive success or failure. DC Holdings' supply chain AI control tower shifts decision points from "quarterly review" to "when anomalies occur," turning post-mortems from "guessing the cause" to "seeing the root cause." This can provide solid intelligent support for Chinese brands going international, and a trustworthy, efficient, and intelligent supply chain system will undoubtedly help Chinese brands achieve stability and prosperity in the global market.