Core Viewpoint - The article highlights the operations and strategic initiatives of Horgos Silk Road Rongteng Logistics Co., Ltd., focusing on its cross-border trade logistics services and the integration of intelligent systems to enhance efficiency and safety in logistics operations [1][3]. Group 1: Company Operations - Horgos Silk Road Rongteng Logistics Co., Ltd. has developed a comprehensive service model since its establishment in 2018, focusing on cross-border trade logistics, international freight forwarding, and multimodal transport logistics [1]. - The logistics park spans over 200,000 square meters, featuring various functional areas such as standard warehouses, cargo handling platforms, and equipment storage, ensuring a seamless process from arrival to sorting and dispatch of goods [1]. Group 2: Transportation Strategies - The company employs a multimodal transport strategy, utilizing both road and rail transport based on the nature of the goods, optimizing costs and efficiency [2]. - For high-demand goods, the company offers door-to-door transportation services, achieving delivery within 24 hours to Kazakhstan and 3 to 5 days to Belarus after leaving the country [2]. Group 3: Digital Transformation - The company is actively pursuing digital transformation, including the development of an intelligent customs declaration system and the installation of over 400 surveillance cameras for enhanced security and operational efficiency [3]. - Future plans include the construction of dedicated railway lines and the establishment of a digital trading platform for cross-border logistics, aiming for full-chain digital management to improve transparency and tracking of goods [3].

Core Insights - The World Trade Organization's report predicts that with appropriate policy support, AI applications could drive global trade growth by nearly 40% and increase global GDP by 12% to 13% by 2040, highlighting the significant potential of AI technology [1][4] Group 1: Impact on Global Trade - AI is expected to significantly reduce trade costs by improving efficiency in traditional international trade processes such as information search, contract signing, cross-border payments, and logistics, with smart customs systems potentially shortening clearance times by 70% and AI-driven supply chain management reducing logistics costs by 20% to 30% [1] - AI-driven smart manufacturing systems are reshaping global value chain dynamics, allowing developing countries to integrate more easily into global trade by responding flexibly to market demand changes and creating new trade categories through innovation [1] Group 2: Inclusion of SMEs - AI-driven trade platforms are lowering barriers for small and medium-sized enterprises (SMEs) to participate in global trade, providing tools for global market access, multilingual customer service, and smart marketing, thus enhancing the inclusivity and accessibility of global trade [2] Group 3: Challenges and Solutions - The development of global trade through AI faces challenges such as the digital divide, with developed countries having advanced infrastructure and resources while many developing nations struggle with weak digital foundations and talent shortages. Effective international cooperation is needed to address these issues [2] - Strengthening international cooperation on digital infrastructure is crucial to help developing countries improve network coverage and reduce digital access costs, while also sharing technology and knowledge to bridge the digital divide [2] Group 4: Policy Recommendations - Countries should establish an open, inclusive, and non-discriminatory AI trade policy environment, avoiding unnecessary trade restrictions and fostering dialogue through multilateral platforms like the WTO to create a predictable policy environment for AI-enabled trade [3] - Developed countries should support the capacity building of developing nations in AI through technology transfer and training, while international organizations can facilitate knowledge sharing and promote successful AI applications in trade [3] Group 5: China's Role - China plays a significant role in promoting global trade through AI, possessing a complete AI industry ecosystem and leading capabilities in e-commerce, smart logistics, and digital payments. China is encouraged to participate in global governance of AI and share its successful experiences to contribute to a balanced and inclusive global trade framework [3]

Core Insights - The World Trade Organization's report predicts that with appropriate policy support, AI applications could drive global trade growth by nearly 40% and increase global GDP by 12% to 13% by 2040, highlighting the significant potential of AI technology [1][4] Group 1: Impact on Trade Costs and Efficiency - AI can significantly reduce trade costs by improving efficiency in traditional international trade processes such as information search, contract signing, cross-border payments, and logistics. For instance, intelligent customs systems can shorten clearance times by 70%, while AI-driven supply chain management can lower logistics costs by 20% to 30% [1] Group 2: Reshaping Global Value Chains - AI-driven smart manufacturing systems enhance production flexibility, allowing for quicker responses to market demand changes, thus facilitating the integration of developing countries into global value chains. Additionally, AI is creating new trade categories through product design and innovation, such as smart home devices and autonomous vehicles [1] Group 3: Inclusion of SMEs in Global Trade - AI-driven trade platforms are lowering barriers for small and medium-sized enterprises (SMEs) to participate in global trade by providing global market access, multilingual customer service, and smart marketing tools, thereby enhancing the inclusivity and accessibility of global trade [2] Group 4: Challenges and International Cooperation - The advancement of AI in global trade faces challenges such as the digital divide, with developed countries having superior infrastructure and talent compared to many developing nations. To maximize AI's potential in trade, international cooperation is essential to improve digital infrastructure and reduce the digital gap [2] Group 5: Policy Environment and Capacity Building - Establishing an open, inclusive, and non-discriminatory AI trade policy environment is crucial. Countries should avoid unnecessary trade restrictions and work through multilateral platforms to create standards and reduce trade barriers. Additionally, developed nations should support capacity building in developing countries through technology transfer and training [3] Group 6: China's Role in AI and Global Trade - China possesses a comprehensive AI industry ecosystem and is a global leader in AI applications related to e-commerce, smart logistics, and digital payments. The country is encouraged to actively participate in global AI governance and share successful experiences to support the capacity building of developing nations [3]

Group 1 - The 22nd East Expo features a dedicated AI pavilion, showcasing advancements in technology and human-machine interaction, symbolized by a four-legged robot that engages with visitors [2] - A total of 155 signed projects involving six ASEAN countries were reported, indicating a strong commitment to collaboration and the application of AI technology in Southeast Asia [3] - The event serves as a platform for Chinese technology solutions to better serve the ASEAN market, emphasizing the importance of aligning Chinese technical standards with regional needs [3][4] Group 2 - The expo fosters cultural exchange and understanding among participants from various countries, highlighting the significance of personal connections in business [5] - Young scientists from ASEAN countries express a desire for collaboration and knowledge sharing with their Chinese counterparts, particularly in the field of artificial intelligence [4] - The long-standing participation of exhibitors, such as those from Turkey, illustrates the deepening cooperation and trust built over years of engagement at the East Expo [5]

Group 1: Company Highlights - Ruizhi Interactive Technology Co., Ltd. focuses on financial technology and industrial IoT, with a cross-border payment platform processing over 100,000 transactions daily and improving settlement efficiency by 30% [3] - Ruizhi Kai High Technology Co., Ltd. enhances high-end manufacturing and smart city construction, achieving over 85% accuracy in equipment fault prediction and reducing maintenance costs by 20% [4] - Alibaba Cloud participates deeply in Shanghai's smart city development, optimizing traffic signal timing to reduce congestion duration by 12% during peak hours [5] - Tencent develops a full-line operation simulation system for Shanghai Metro, reducing fault response time by 35% [6] - JD Technology implements an intelligent warehousing management system in Shanghai, decreasing manual intervention frequency by 60% [7] Group 2: Industry Trends - The Shanghai software development industry is experiencing two major trends: technology-driven scenario deepening and regional collaborative ecosystem building [8] - By 2025, Shanghai's software industry is projected to grow by 38% compared to 2022, with industrial software and AI companies accounting for 32% of the total [8] - The integration of AI and blockchain technologies in finance, manufacturing, and logistics is leading to differentiated solutions [8] Group 3: Future Outlook - Shanghai's software development companies are empowering the real economy through technological innovation and ecological collaboration [9] - The application of emerging technologies such as quantum computing and 5G-A may position Shanghai more strategically in the global innovation landscape [9]