The 2026 Cross-Border E-Commerce Development Conference was grandly held in Langfang, Hebei on June 16th. Co-hosted by the China Association of Trade in Services and the World Trade Point Federation, the event convened under the theme "Building a Trusted Trade Mechanism to Empower Brands Going Global." It brought together participants from universities, enterprises, associations, and other institutions to discuss development trends and innovative pathways for the cross-border e-commerce industry.

At the conference, Zhang Hupo, Chief Technology Officer of DC HOLDINGS' Kejie, delivered a keynote speech. He provided a detailed introduction to the innovative application and core advantages of DC HOLDINGS' "Supply Chain AI Control Tower" solution within cross-border e-commerce scenarios, garnering widespread attention from attendees.

Concurrently, the conference saw the significant release of the "2025 China Cross-Border E-Commerce Annual Development Report." In the highly anticipated "2025 China Cross-Border E-Commerce Service Provider Comprehensive Competitiveness Ranking," DC HOLDINGS (Kejie) successfully secured a spot, highlighting the company's profound strength and industry recognition in the cross-border e-commerce service sector.

The report specifically mentioned that the supply chain intelligent agent "Xiao Jin," independently developed by Kejie Logistics under DC HOLDINGS, delivered an outstanding performance during the practical test of the 2025 Double Eleven shopping festival, becoming a typical case of AI technology empowering supply chains.

Zhang Hupo pointed out in his speech that the cross-border e-commerce industry currently faces a common dilemma of AI technology "lingering at the doorstep." While most enterprises have deployed tools like data visualization dashboards and AI chatbots, AI has not yet been truly embedded into business decision-making processes.

He believes the root cause lies in enterprises having data that is not utilized, with data from various platform backends and overseas warehouse WMS systems lying dormant without real analysis. Process-wise, systems exist but are not interconnected, with overseas warehouse systems, platform backends, and first-leg logistics systems operating in silos. This results in AI predictions being unable to genuinely influence decisions on replenishment and allocation during the decision-making stage.

To address these issues, DC HOLDINGS launched the "Supply Chain AI Control Tower." By integrating data, processes, and decision nodes, it enables AI to truly integrate into business operations.

The Supply Chain AI Control Tower employs a three-tier architecture design. The bottom layer integrates data from various systems, including overseas warehouse WMS, ERP, TMS, major e-commerce platform backends, and exchange rate/tariff data sources. The middle layer consists of AI workstations for various roles, which, with the assistance of the "Xiao Jin" intelligent agent, provide decision support across six core nodes: demand forecasting, first-leg planning, overseas warehouse allocation, multi-platform replenishment, fulfillment alerts, and operational attribution. The top-level AI Control Tower offers capabilities for full-link visibility, collaborative decision-making, and attribution feedback, truly achieving the leap from "seeing data" to "aiding decisions."

For example, in demand forecasting, AI can predict sales for various SKUs and platforms during peak seasons, replacing experience-based ordering to output platform- and warehouse-specific stock preparation suggestions. In first-leg planning, AI optimizes sea and air freight scheduling and costs, outputting a matrix of first-leg solutions. For overseas warehouse allocation, AI generates cross-warehouse transfer plans through multi-warehouse inventory heat analysis. In multi-platform replenishment, AI formulates differentiated replenishment strategies to automatically trigger replenishment orders. For fulfillment alerts, AI identifies stockouts, over-age items, and return anomalies in real-time and provides handling solutions. In operational attribution, AI breaks down the specific impact of exchange rates, logistics, and platform fees on gross profit.

The "2025 China Cross-Border E-Commerce Annual Development Report" posits that the role positioning of Chinese cross-border e-commerce service providers is undergoing a fundamental shift, gradually moving from early-stage purely 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 agent saw its peak order volume per second increase by 280% year-on-year.

In daily operations, data query efficiency improved by 90%, customer service workload was reduced by 50%, efficiency for picking and sorting complex documents increased by 20%, packing efficiency per person rose by 15%, and order processing efficiency tripled. Simultaneously, it can directly participate in formulating enterprise inventory strategies, providing clients with decision support such as "warehouse entry recommendations" and "new warehouse location selection plans." This indicates that logistics service providers are evolving from fulfillment executors to co-builders of supply chain intelligence, forming a new, deep co-creation partnership with manufacturing enterprises.

At the recently concluded "Digital Cloud Primordial Force 2026 · Primordial Force Forum," DC HOLDINGS launched the "xᴬᴵ・Supply Chain" ecosystem co-creation plan, aiming precisely to accelerate the implementation of industrial AI in core supply chain scenarios through co-creation.

In cross-border e-commerce scenarios, characteristics like sea freight cycles lasting 30-45 days, varying inventory rules across multiple platforms, dense peak season nodes, and exchange rate fluctuations directly affecting gross profit mean that a 1% improvement in decision quality can translate into substantial real financial gains. Therefore, the ability to effectively leverage AI value has become a key factor determining competitive success or failure.

The Supply Chain AI Control Tower from DC HOLDINGS' Kejie moves decision points forward from "quarterly reviews" to "when anomalies occur," transforming reviews from "guessing causes" to "viewing root cause lists." It can provide solid intelligent support for Chinese brands going global, and a trustworthy, efficient, and intelligent supply chain system will undoubtedly help Chinese brands navigate the global market steadily and go the distance.