在新质生产力加速崛起的时代浪潮中，人工智能与实体经济的深度融合成为产业升级的核心引擎。神州 控股始终以"数字中国"为初心使命，秉持"成就客户、创造价值"的核心价值观。依托在大数据和人工智 能领域的先发优势，公司持续推进"Data x AI"战略升维，构建了覆盖算力层、数据层和决策层的"燕云 Infinity平台"。神州控股将AI全栈技术与行业运营经验深度结合，为政企业务、消费电子、金融、快消 零售等众多行业头部客户，提供端到端数据智能解决方案，驱动产业链价值重构，成为数字经济时代的 核心赋能者。 "小金"的成功落地，不仅破解了AI技术在供应链领域的落地难题，更构建了全链路智能协同新模式，创 造了可量化的商业价值，推动供应链从"成本中心"向"价值中心"、从"被动响应链条"向"主动预判智慧 网络"转型。未来，神州控股将持续深化"AI全栈技术+价值场景赋能"模式，构建百量级供应链垂直智能 体集群，联合生态伙伴扩大智能体生态，让AI原生思维贯穿供应链全链条。在新质生产力的浪潮中， 神州控股正以技术创新为笔、以行业积淀为墨，书写实体经济数智化转型的新篇章，为经济高质量发展 注入持续动能。 随着数字经济渗透与消费需求多元 ...

12 月 29 日，在智通财经第八届投资年会暨科大硅谷硬科技投资生态大会上，神州控股（00861）凭借深厚的技术积淀、完整的 AI 全栈能力与丰富的行业落 地成果，成功入选 "新势力人工智能企业" 榜单。这一荣誉既是行业对其 "Data×AI" 战略深化落地的高度认可，更是对其以技术创新赋能供应链产业数智化 升级的充分肯定。 02 行业智能体落地释放实践价值 依托全栈技术能力，神州控股将 AI 深度融入垂直领域，打造了一系列可复制、高实效的智能体应用，让技术真正服务于产业升级。在智慧供应链领域，神 州控股深耕物流供应链领域 20 余年，以 "Data x AI" 战略为核心，构建起覆盖供应链全链路的智能解决方案。今年，公司基于 "AI for Process" 理念重磅推出 企业级供应链智能体 "小金"，将 AI 深度融入履约决策全流程，打造从数据洞察到智能执行的智慧供应链闭环，为客户提供高质量、高效率的履约服务。 数据中台层依托 "燕云" 产品，构建起覆盖数据采集、清洗、建模、运维与安全的多模态大数据治理能力。无缝整合数百种多源异构数据，同时借助数据标 注、数字化建模等技术，生成高质量、标准化的数据资源，为 ...

Core Insights - The logistics industry is undergoing a transformation driven by AI and automation, particularly highlighted during the "Double 11" shopping festival, which poses significant challenges for logistics operations [1][2] - The collaboration between Shenzhou Holdings' subsidiary KJ and UQI aims to address the "last 10 meters" of logistics through the integration of humanoid robots and intelligent systems [1][2] Group 1: Industry Challenges - The logistics sector faces labor shortages and operational efficiency bottlenecks, especially during peak periods like "Double 11," where labor demand can increase by 6 to 12 times [2] - Some logistics hubs experience cargo congestion due to insufficient manpower, impacting delivery timelines [2] Group 2: Technological Innovations - The partnership will leverage a "cloud brain + edge brain" dual-core technology architecture, with KJ providing a "smart brain" through its proprietary logistics models and UQI contributing execution capabilities via its robotic systems [2][3] - The goal is to develop humanoid robots capable of performing complex tasks in logistics environments, requiring advanced visual recognition and coordination algorithms [3] Group 3: Collaborative Efforts - The collaboration aims to create a "logistics embodiment intelligence laboratory" to tackle key technologies such as multi-modal cargo recognition and autonomous learning processes [5] - The joint efforts will also focus on establishing open communication protocols for logistics intelligent systems, facilitating collaboration across different brands and types of equipment [5] Group 4: Strategic Importance - This strategic partnership marks a significant milestone in the logistics industry's shift towards intelligent and automated operations, aligning with national economic development plans [6] - The collaboration is expected to contribute to the development of industry standards and promote a technology-driven transformation in logistics, moving from labor-intensive to technology-intensive operations [6]

Core Insights - The collaboration between Shenzhou Holdings' subsidiary KJ and UQI aims to create a new ecosystem of embodied intelligence in logistics, aligning with China's 15th Five-Year Plan to advance high-tech industries over the next decade [1][2] - The partnership will focus on three main areas: technology, application scenarios, and ecosystem development, including the establishment of a logistics embodied intelligence laboratory and the creation of intelligent logistics operation scenarios [1][2] Technology Development - KJ will provide the "smart brain" support through its self-developed "KingKoo Intelligent Chain" logistics supply chain model and "Little Gold" intelligent body cluster, integrating over 20 years of industry experience [2] - UQI will contribute its "execution terminal" capabilities with its self-developed robot operating system UPilot and core controller ACU, utilizing industrial mobile robots and autonomous logistics vehicles for high-precision physical tasks [2] Industry Impact - The strategic cooperation is expected to address labor shortages and operational efficiency challenges in the logistics sector, significantly contributing to the digital and intelligent transformation of the industry [2] - This partnership is seen as a practical demonstration of the forward-looking layout of embodied intelligence and future industries as outlined in the national development recommendations [2]

Core Insights - Shenzhou Holdings' subsidiary KJ and UBTECH's subsidiary UQI signed a strategic cooperation agreement at CeMAT ASIA 2025 to enhance logistics automation and intelligence [1][4] - The collaboration focuses on three levels: technology, scenario, and ecosystem, aiming to address key challenges in logistics such as labor shortages and operational efficiency [2][3] Technology Collaboration - The partnership will establish a "Logistics Embodied Intelligence Laboratory" to tackle critical technologies like multimodal cargo recognition [1][2] - KJ will provide a "smart brain" through its proprietary "KingKoo Intelligent Chain" logistics supply chain model and "Xiao Jin" intelligent agent cluster, leveraging over 20 years of industry experience [3] Scenario Development - The focus will be on creating unmanned logistics operation scenarios in sectors such as fast-moving consumer goods, beauty, IT, and 3C, aiming to overcome the "last 10 meters" bottleneck in warehousing [1][2] Ecosystem Building - The companies will jointly develop an open protocol for logistics intelligent agent communication and scheduling, and publish an industry white paper to foster a developer ecosystem [1][3] Strategic Alignment - This collaboration aligns with the Chinese government's 14th Five-Year Plan, emphasizing the development of future industries like embodied intelligence [4] - Shenzhou Holdings aims to integrate big data and AI technologies into its supply chain strategy, having formed strategic partnerships with 12 core clients and ecosystem partners by 2025 [3]

Core Insights - Shenzhou Holdings' subsidiary KJ and UBTECH's subsidiary UQI signed a strategic cooperation agreement at CeMAT ASIA 2025 to enhance logistics automation and intelligence [1][4] Group 1: Strategic Cooperation - The cooperation will advance in three areas: technology, scenario, and ecosystem [1] - A "Logistics Embodied Intelligence Laboratory" will be established to tackle key technologies such as multimodal cargo recognition [1] - Focus industries include fast-moving consumer goods, beauty, IT, and 3C, aiming to create unmanned logistics operation scenarios [1] Group 2: Technological Framework - The partnership will leverage a "Cloud Brain + End Brain" dual-core technology architecture to address labor shortages and operational efficiency issues in the logistics sector [3] - KJ will provide the "smart brain" support with its self-developed "KingKoo Intelligent Chain" logistics supply chain model and "Little Gold" intelligent agent cluster [3] - UQI will contribute its "execution terminal" advantages through its self-developed robot operating system UPilot and core controller ACU [3] Group 3: Strategic Goals - Shenzhou Holdings positions supply chain scenarios as a core strategic focus, integrating big data and AI technologies [3] - By 2025, the company aims to establish strategic partnerships with 12 core clients and ecosystem partners, creating a competitive supply chain ecosystem [3] - The ongoing "Datax AI" strategy emphasizes high-quality data and AI technology to drive intelligent upgrades across the supply chain [3] Group 4: Policy Alignment - This collaboration responds to the Central Committee's call for forward-looking layouts in future industries such as embodied intelligence [4] - The joint innovation model of "technology co-construction + scenario co-creation + ecosystem sharing" aims to establish a benchmark for intelligent supply chain operations [4]

Group 1: AI Applications and Industry Integration - The AI large model technology is transitioning from exploration to industrial integration, with Agents being a key driver for efficiency in business scenarios [1] - The supply chain is identified as a critical area for AI application, where collaboration across companies and industries is essential for maximizing value [1][2] - The challenge lies not only in technology but also in transforming it into collaborative actions across various sectors [1] Group 2: Current Challenges in AI Implementation - A report from MIT indicates that while 90% of employees use general large models, only 5% of companies achieve measurable commercial returns, leading to the phenomenon known as "shadow AI" [2] - The disconnect between general large models and specific business needs hampers effective problem-solving and implementation [2] - Companies face significant challenges in inventory management and sales forecasting, necessitating a shift from reactive to predictive solutions supported by AI and big data [5] Group 3: Future Trends and Opportunities - The global generative AI market is projected to reach $10 trillion, driven by the urgent need for intelligent transformation across industries, particularly in supply chains [4] - AI and big data applications are expected to enhance seamless connections in cross-border e-commerce, international logistics, and digital certification, providing a solid digital foundation for global value chain participation [3] - The focus of industry competition is shifting towards "AI application craftsmanship," emphasizing the need for practical industrial applications that address real business problems [5] Group 4: Talent Development and Data Integration - There is a pressing need for talent in the field of supply chain management and big data, with educational institutions aligning their programs to meet industry demands [6] - Initiatives to break down data silos and establish cross-departmental and cross-industry data flow mechanisms are being promoted to enhance technology application in logistics and transportation [6]

Core Insights - The launch of the self-developed supply chain intelligent agent "Xiao Jin" by Digital China Holdings' subsidiary, KJ Supply Chain, aims to enhance efficiency in data querying, intelligent decision-making, and customer service [1][2] - The global generative AI market is projected to reach $10 trillion, indicating a strong demand for intelligent transformation across industries, particularly in supply chains [2] Group 1 - "Xiao Jin" is part of Digital China's ongoing "Data x AI" strategy, leveraging the Yanyun Infinity platform to empower core supply chain business scenarios [1] - The intelligent agent has shown significant improvements in order completion rates, warehouse management efficiency, and a reduction in customer complaints during its deployment at KJ's flagship warehouse in Kunshan [2] - The core issue with general large models is their disconnect from actual business needs, which "Xiao Jin" aims to address by integrating industry-specific knowledge and real-time business data [1][2] Group 2 - The development of "Xiao Jin" is based on over 20 years of operational experience and technical reserves, enabling it to understand logistics data and industry pain points effectively [2] - The future competition in the AI space will focus on the ability to industrialize applications that solve real business problems, rather than just the capabilities of large models [2] - KJ Supply Chain plans to collaborate with logistics companies, e-commerce platforms, and manufacturers to expand the ecosystem of supply chain intelligent agents, leading to a new era of "full-link intelligent collaboration" in the supply chain industry [3]