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At the 17th International Exhibition of Transportation Technology and Equipment held recently, JD Logistics officially launched its self-developed unmanned light truck product - JD Logistics VAN. This unmanned light truck has a large cargo space of 24 cubic meters, making it the one with the largest cargo capacity in the logistics industry. It is expected to replace traditional 4.2-meter trucks in logistics shuttle and transfer station links. According to the introduction, JD Logistics VAN has a full-load driving range of up to 400 kilometers and is equipped with L4-level autonomous driving capabilities on public roads. This means it can drive autonomously.

According to NetEase Technology, JD.com's layout in the field of embodied intelligence is accelerating rapidly. The embodied intelligence brand JoyInside under JD.com has reached cooperation with more than ten leading robot companies, becoming the core engine for JD.com to seize the smart robot market. According to insiders, JoyInside is supported by JD's large model technology, focusing on providing smart interaction capabilities between robots and consumers. Its product strategy focuses on scenario-based applications such as one person, one dog, and one toy. Since its launch, the brand has successfully attracted leading enterprises from multiple niche fields to join.

JD Industrial officially released the industry's first supply chain-centric industrial large model -- Joy industrial in Shanghai. This innovative product aims to improve the operational efficiency of upstream and downstream enterprises in the supply chain through advanced artificial intelligence technology. Joy industrial provides various AI agents for JD Industrial and its upstream suppliers, including demand agent, operation agent, customs agent, etc., and also launches AI products such as product expert and integration expert for downstream enterprises in the supply chain.

JD Retail's technology team announced the successful launch of TimeHF, its first self-developed billion-parameter time series model for sales forecasting. This model leverages Reinforcement Learning from Human Feedback (RLHF), applying it for the first time to sales forecasting. The accuracy of predictions has been significantly improved by over 10%, substantially reducing uncertainty in demand forecasting. This achievement has demonstrated excellent performance in JD's internal automated replenishment scenarios for 20,000 products.

JD Cloud Shenzhen unveils eight flagship products and five deployment modes, making AI implementation more accessible and cost-effective. This comprehensive solution addresses the final mile of AI deployment, providing a seamless experience for businesses.

On February 25th, JD Retail's technology team announced the official launch and full opening of its self-developed JingDianDian AIGC content generation platform. This platform aims to provide e-commerce merchants with a highly efficient and cost-effective content generation solution using AI technology. Currently, the platform covers over 20 core scenarios, with daily AI capability calls exceeding 10 million times. It assists over 350,000 JD merchants in generating high-quality product images, marketing copy, and soon-to-be-launched main video, significantly improving content production efficiency and reducing production costs.

On January 11, 2025, Beijing JD Century Trade Co., Ltd. held the 2025 JD Health Annual Doctor Celebration and Smart Medical Conference in Beijing. At the conference, JD Health announced the launch of its full range of large model products "AI Jingyi," based on its online comprehensive scenarios, as well as the industry's first large model product "JD Zhuoyi" aimed at full-scene applications in hospitals. The goal is to leverage the technological capabilities of the "Jingyi Qianxun" medical large model to create a service system for large model products covering both online and offline medical health scenarios, enhancing the patient experience and supporting doctors in clinical practice.

At the 2024 JD Cloud Summit, JD Cloud showcased its latest advancements in large model technology and launched eight major products, including JD Cloud Enterprise Large Model Services, Yansai Intelligent Agent Platform, Smart Programming Assistant JoyCoder, and Yansai Digital Human 3.0. These products reflect JD Cloud's leading position in large model applications and its in-depth exploration of industry practices.

Is it possible to have a universal graph model that can predict toxicity based on molecular structure while also providing friend recommendations in social networks? Or one that can predict the citations of different authors to uncover human aging mechanisms in gene networks? It turns out, this model was jointly proposed by Professor Chen Yixin's team from Washington University in St. Louis, Zhang Muhan from Peking University, and researchers such as Tao Dacheng from JD.com Research Institute.

The JD APP has launched the AI smart shopping assistant 'JD Jingyan', which users can access by searching for 'JD Jingyan' in the JD APP. JD Jingyan provides the following services: professional category consultation, personalized gift assistant, shopping experience knowledge, product comparison assistant. JD emphasizes that 'JD Jingyan' only offers shopping inspiration and does not involve professional fields such as medical or legal advice. Users can inquire about how to choose a smart toilet, suitable gifts for parents, the differences between level 3 and level 1 air conditioners, and Huawei Mate 60 versus Huawei P6.

From July to August 2023, the sales of AI-enabled tutoring machines surged by 128% compared to the same period last year. Female users accounted for 55% of AI tutoring machine purchases, while males accounted for 45%. The penetration and growth of AI tutoring machines in major cities like Zhejiang, Guangdong, and Jiangsu, as well as coastal areas, outpaced regions like Sichuan, Beijing, and Hubei. AI tutoring machines have driven breakthroughs and iterations in electronic education products, enhancing learning efficiency and effectiveness. Mothers are more attentive to 'AI new technologies' and are more willing to try them, making AI tutoring machines a new need in family education.