On March 11, 2025, the 2025 Spring Tea Summit of the Global Special Line Alliance Association was successfully held at the Digital Innovation Center of Longhua High-tech Park, Shenzhen. The summit brought together people from all walks of life, including the Chamber of Commerce of the logistics industry, experts from the top, representatives of internationally renowned e-commerce platforms and cross-border e-commerce buyers, and jointly conducted in-depth discussions on the response strategies of international logistics under the frequent cross-border e-commerce tariff policies, as well as how AI digitalization empowers cross-border logistics innovation, and in-depth interpretation of the new pattern, new rules and new opportunities facing the development of cross-border e-commerce. At the same time, the summit exchanged views on the hot spots, difficulties and pain points of cross-border e-commerce, and was committed to promoting the sustainable development of the cross-border e-commerce industry and promoting exchanges and cooperation between global cross-border e-commerce.

Faced with the sharp rise in cross-border e-commerce logistics costs due to adjustments to US tariff policies (such as the cancellation of small parcel exemptions), some companies have begun to explore new response strategies. On the one hand, enterprises actively optimize supply chain layout, reduce their dependence on a single market, and turn to emerging markets such as Southeast Asia and the Middle East to conduct business layout. Some Chinese manufacturing companies spread risks through "industrial chain transfer" or "overseas factory building" methods, and use local tariff preferential policies to reduce costs. On the other hand, with flexible adjustments to transportation models, some cross-border e-commerce platforms have shifted from "full custody" to "semi-custody" model, and some logistics links have been localized, reducing their dependence on cross-border small packages of direct mail, and by increasing the combination of sea and air freight strategies, order transportation is completed in advance before the tariff policy is implemented, alleviating the pressure brought about by sudden policy changes.

In terms of improving customs clearance efficiency and compliance capabilities, AI and big data technologies have begun to be widely used in the industry. By predicting changes in tariff policies, dynamically adjusting logistics paths, using intelligent sorting equipment and automated customs clearance systems to reduce manual intervention and improve processing speed. At the same time, strengthen cooperation with professional customs clearance companies to deal with complex policy environments. For example, when facing rising US customs inspection costs, choose companies with T86 customs clearance qualifications to cooperate to avoid business interruptions, and hedge exchange rate and tax rate fluctuations by purchasing tariff insurance or using foreign exchange derivatives.

In addition, in terms of AI digitalization empowering cross-border logistics innovation, Geometric Intelligent Manufacturing has proposed the concept of smart logistics. It is equipped with measurement and sorting equipment with computer vision (CV) and NLP technology, which can automatically identify the receiving address and product labels in different languages around the world, with an accuracy rate of up to 99.5%. Cainiao Network applies an AI sorting machine in its overseas warehouse in Russia, which can process local orders in Russian addresses and cross-border direct mail packages with English labels at the same time. Through 3D visual scanning cloud upload + smart sorting, it can adapt to cross-border products of different sizes and shapes, and solve the card parts problem caused by fixed specifications of traditional sorting machines. The AI sorter can sort more than 20,000 pieces per hour, compared with traditional manual sorting, only 500-800 pieces per hour, and supports 24-hour uninterrupted operation, effectively responding to cross-border order peaks such as "Black Friday" and "Double 11". After JD.com Indonesia Jakarta Smart Ware introduced AI sorting, the cross-border order processing time was greatly shortened from 72 hours to 6 hours. At the same time, through the AI error correction mechanism, the error score rate was reduced from 3% of manual labor to below 0.05%, reducing the high cost of cross-border return. Geometry Intelligent Manufacturing has successfully served 3,000+ customers, including many well-known companies such as shrimp skin, Sino-Foreign Transportation, and JD Warehouse. Its technical solutions have also been recognized and adopted by bonded warehouses in various places.