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刘强东震惊全网 京东机器人集体开工

木易 2026-06-15 09:38
木易 2026/06/15 09:38

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本文核心信息是京东已将智能机器人落地到京东MALL线下门店,实现常态化全职上岗,同时京东正在大规模布局机器人产业生态,探索人机协作新模式,带来不少新变化。

1. 本次京东MALL的机器人已经实现精细化分工,迎宾、导购带路、理货、咨询全环节覆盖,解决了传统线下门店顾客找货难、导购信息滞后、理货效率低的问题,理货机器人单品上架成功率稳定超过90%。

2. 京东已经投入超百亿布局机器人赛道,目前已吸引超200家智能机器人品牌入驻,搭建了从数据到大模型的自研技术底座支撑机器人运行。

3. 刘强东明确表态,对于被机器取代的一线员工京东一个都不会开除,还建立了80多个基地培训员工新技能,走人机协作共生路线,不是简单替代人工。

本文披露了京东布局机器人产业生态的最新动向,能给机器人品牌和线下零售品牌提供多维度的参考信息。

1. 消费趋势端:当前消费者对线下零售体验要求不断提升,智能机器人既可以解决线下门店的核心痛点,还能打造差异化记忆点吸引消费者到店,机器人本身也成为增速极快的新消费品类。

2. 渠道建设端:京东已经搭建了成熟的机器人销售平台,目前已有超200家智能机器人品牌入驻,今年京东已助推机器人品牌累计销售额突破100亿元,618期间宇树机器人成交额同比增长271%,是机器人品牌重要的增量渠道。

3. 产品研发端:京东开放自身零售、物流等多场景的真实数据和自研技术底座,能帮助机器人品牌优化产品,让机器人从展示型转向实用型,适配真实商业场景需求。

本文梳理了机器人赛道的增长机会和京东的相关扶持政策,对涉足机器人领域的卖家有明确的指导价值。

1. 市场机会层面:机器人是当前电商领域的高速增长新赛道,消费者对智能机器人的接受度和需求不断提升,京东平台数据显示,618开启仅4小时宇树机器人成交额就同比增长271%,全年京东平台机器人品牌累计销售额破百亿,增量空间十分可观。

2. 合作与扶持层面:京东计划投入超百亿资源布局机器人领域,从产品定制、技术赋能、研发支持多个维度助力机器人品牌伙伴提升营收,还开放了全链路具身智能数据基础设施和自研大模型能力,帮助卖家解决产品落地难的问题。

3. 风险提示层面:机器人替代人工是大趋势,简单直接替代人工容易引发用工问题,卖家可参考京东模式,走人机协作路线,对原有员工进行新技能培训转岗,实现平稳转型,规避用工风险。

京东机器人落地的实践,给生产制造工厂带来了明确的商业机会和数字化转型启示。

1. 产品需求层面:当前线下零售、物流等真实商业场景,对具备实用功能的工业级机器人有大量需求,需要机器人完成迎宾带路、理货、分拣、搬运等标准化工作,目前京东平台仅入驻了200余家机器人品牌,市场还有充足的增长空间,工厂可围绕真实场景需求开发对应产品。

2. 数字化转型启示:工厂生产智能机器人,需要对接真实场景数据和大模型能力才能提升产品稳定性,京东的实践显示,依托具身大模型和海量真实数据,理货机器人的单品上架成功率可以稳定超过90%,这一经验值得工厂参考。

3. 商业合作机会:京东正在搭建机器人产业生态,已经和越疆科技等制造企业达成战略合作,共同推动具身智能规模化落地,工厂可以对接京东生态,获得场景、数据、销售渠道等多维度支持,降低产品落地门槛。

本文梳理了机器人落地商业场景的行业趋势、核心痛点和成熟解决方案,对相关领域服务商有较高参考价值。

1. 行业发展趋势:具身智能机器人已经走出实验室和展会,开始进入线下零售、物流等场景实现常态化运营,未来会逐步渗透到零售全链条,To B端的机器人运营服务市场空间广阔,行业已经进入落地加速期。

2. 核心客户痛点:一方面,机器人落地线下零售长期存在痛点,此前大多只能做单点展示,无法适配复杂的线下场景,难以实现常态化运营;另一方面,传统线下零售存在顾客找货难、导购信息滞后、理货效率低三大核心痛点,亟需解决方案。

3. 可行解决方案:京东已经验证了可行路径,通过对不同岗位做机器人分工,搭配“数据采集中心+交互系统+具身大模型”的三位一体技术底座,有效解决了机器人场景适配问题,同时解决了线下零售的核心痛点,这套模式可供服务商参考复制。

京东布局机器人产业生态的实践,给各类零售平台、产业平台的发展提供了可借鉴的经验,也明确了需要规避的风险。

1. 商家需求洞察:当前机器人品牌商家已经不满足于普通的平台入驻卖货,更需要平台提供真实场景数据、技术赋能、产品研发支持等多维度服务,帮助产品落地打磨。

2. 平台运营可借鉴的做法:京东打造了完整的机器人产业生态模式,一端开放招商引入机器人品牌商家做销售,另一端开放自身零售、物流等海量真实场景,搭配自研数据基础设施和大模型能力,投入百亿资源赋能商家产品研发,形成生态正向循环。

3. 转型风险规避:平台推进智能化转型时,需要提前应对机器替代人工带来的人员问题,京东的做法是不裁员,对原有一线员工开展机器人维修保养等新技能培训,转型为管理维护机器人的岗位,走人机共生路线,有效规避了转型带来的用工风险,同时提升了整体运营效率。

本文披露了具身智能与实体零售融合的最新实践,展现了产业发展的新动向,总结了新的商业模式和问题解决方案,对产业研究有较高价值。

1. 产业新动向:当前具身智能机器人已经实现阶段性突破,开始嵌入线下零售全运营链条,成为正式门店员工,京东正在搭建覆盖硬件品牌、技术底座、真实场景的完整机器人产业生态,机器人技术开始反哺京东物流、线下零售、电商整个商业生态,推动实体零售进入人、货、机器协同的新阶段。

2. 新问题与应对思路:技术转型带来的机器替代人工就业问题是产业需要面对的核心新问题,京东探索出了“机器干活、人管机器”的人机共生应对方案,通过对原有员工培训转岗,实现技术升级和人员稳定的平衡,对行业有参考意义。

3. 创新商业模式:京东形成了“技术打磨-生态赋能-销售增长-反哺技术”的闭环商业模式,依托自身海量真实业务场景打磨机器人技术,再赋能合作品牌,带动机器人品类销售增长,同时技术升级又提升自身零售和物流效率,形成正向循环,是零售与AI融合的新探索,值得深入研究。

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Quick Summary

This article covers JD.com’s latest progress: intelligent robots have been deployed on a full-time, permanent basis at JD MALL offline stores, and JD is building out a large-scale robotics industry ecosystem to explore new human-robot collaboration models, bringing multiple industry changes.

1. The robots deployed at JD MALL have refined division of labor, covering all links from guest reception, product guidance, inventory stocking to customer consultation. This addresses core pain points of traditional offline stores including difficulty locating products, out-of-date product information from sales associates, and low inventory efficiency. The single-product stocking success rate of JD’s inventory robots consistently exceeds 90%.

2. JD has invested over 10 billion yuan in the robotics sector, and has already attracted more than 200 intelligent robotics brands to its ecosystem. It has also built an in-house technology infrastructure spanning from data processing to large foundation models to support robot operations.

3. JD founder Richard Liu has explicitly stated that JD will not lay off any frontline employees whose jobs are replaced by machines. The company has established over 80 training bases to upskill employees, and pursues a collaborative, symbiotic human-robot development path rather than simply replacing human workers.

This article discloses JD.com’s latest moves in building out its robotics industry ecosystem, providing multi-dimensional reference insights for both robotics brands and offline retail brands.

1. On consumer trends: Consumers are increasingly demanding better offline retail experiences. Intelligent robots not only solve core pain points for offline stores, but also create differentiated customer experience to drive foot traffic. Robots themselves have also become a fast-growing new consumer category.

2. On channel development: JD has built a mature robotics sales platform that is already home to over 200 intelligent robotics brands. In 2024, cumulative sales of robotics brands on JD have exceeded 10 billion yuan, and Unitree robots saw a 271% year-on-year growth in transaction volume during the 618 shopping festival, making JD a key incremental sales channel for robotics brands.

3. On product R&D: JD opens up its real-world operational data from retail, logistics and other scenarios, as well as its in-house technology infrastructure, to help robotics brands optimize their products, enabling robots to transition from display-only units to practical tools that meet the demands of real commercial scenarios.

This article outlines growth opportunities in the robotics sector and JD’s supporting policies, offering clear guidance for sellers entering the robotics space.

1. Market opportunities: Robotics is a high-growth new track in e-commerce, with consumer acceptance and demand for intelligent robots rising steadily. JD platform data shows that Unitree robots notched 271% year-on-year transaction growth in just the first four hours of 618, and cumulative annual sales of robotics brands on the platform have exceeded 10 billion yuan, indicating significant room for incremental growth.

2. Partnership and support: JD plans to invest over 10 billion yuan in the robotics sector, supporting partner brands to grow revenue through multi-dimensional support including product customization, technical empowerment and R&D backing. It also opens up its full-stack embodied intelligent data infrastructure and in-house large model capabilities to help sellers solve the common problem of difficult product commercialization.

3. Risk mitigation: While robot replacement of human labor is a broad industry trend, direct replacement can trigger labor issues. Sellers can follow JD’s model by pursuing a human-robot collaboration path, and providing upskilling and job reallocation for existing employees to achieve a smooth transition and avoid labor risks.

JD’s on-the-ground robotics deployment offers clear commercial opportunities and digital transformation insights for manufacturing factories.

1. Product demand: Real commercial scenarios such as offline retail and logistics currently have strong demand for functional industrial robots that can perform standardized tasks including guest reception, product guidance, inventory stocking, sorting and cargo handling. Currently only just over 200 robotics brands are hosted on JD’s platform, leaving substantial room for market growth. Factories can develop targeted products aligned with real scenario demands.

2. Digital transformation insights: For manufacturing intelligent robots, access to real-world scenario data and large model capabilities is required to improve product stability. JD’s practice proves that with the support of embodied large models and massive real-world data, the single-product stocking success rate of inventory robots can consistently exceed 90%, an experience worth reference for factories.

3. Commercial partnership opportunities: JD is building a full robotics industry ecosystem and has already reached strategic cooperation with manufacturing players including Yuejiang Technology to advance the large-scale deployment of embodied intelligence. Factories can access JD’s ecosystem to gain multi-dimensional support covering scenarios, data and sales channels, lowering the barrier to commercializing their products.

This article summarizes industry trends, core pain points and mature solutions for deploying robots in commercial scenarios, offering high reference value for relevant service providers.

1. Industry development trends: Embodied intelligent robots have moved beyond laboratories and trade shows to enter permanent operation in offline retail, logistics and other commercial scenarios. They will gradually penetrate the entire retail value chain, creating broad market space for B2B robot operation services. The industry has now entered an acceleration phase for commercial deployment.

2. Core customer pain points: On one hand, long-standing barriers have blocked robot deployment in offline retail: most previous robots could only serve as one-off display pieces, unable to adapt to complex offline environments and support permanent operation. On the other hand, traditional offline retail faces three core pain points—difficult product location, out-of-date associate information, and low stocking efficiency—that urgently require solutions.

3. Viable solutions: JD has validated a feasible path: by assigning robot roles for different positions, paired with a three-in-one technology base of "data collection center + interaction system + embodied large model", it has effectively solved the scenario adaptation problem for robots while addressing core offline retail pain points. This model is available for service providers to replicate.

JD.com’s practice of building a robotics industry ecosystem offers replicable experience and clear risk mitigation insights for all types of retail and industry platforms.

1. Merchant demand insight: Today’s robotics brand merchants are no longer satisfied with basic platform access for sales; they increasingly need multi-dimensional support from platforms including real-world scenario data, technical empowerment and product R&D support to refine and commercialize their products.

2. Replicable platform operation practices: JD has built a complete robotics industry ecosystem model: on one end, it opens recruitment to bring in robotics brand merchants for sales; on the other end, it opens up its massive real-world scenarios in retail and logistics, paired with in-house data infrastructure and large model capabilities, and invests 10 billion yuan in resources to empower merchants’ product R&D, forming a positive ecosystem cycle.

3. Transition risk mitigation: When advancing intelligent transformation, platforms need to proactively address labor issues from robot replacement. JD’s approach is to avoid layoffs, and provide upskilling training for original frontline employees to transition into roles managing and maintaining robots, following a human-robot symbiosis path. This approach effectively avoids labor risks from transformation while improving overall operational efficiency.

This article discloses the latest practice of integrating embodied intelligence with physical retail, outlines new industry development trends, and summarizes new business models and problem-solving solutions, offering high value for industry research.

1. New industry trends: Embodied intelligent robots have achieved phased breakthroughs and are now embedded in the full operational chain of offline retail, serving as formal store employees. JD is building a complete robotics industry ecosystem covering hardware brands, technology infrastructure and real-world scenarios. Robotics technology is now feeding back to improve JD’s entire business ecosystem including logistics, offline retail and e-commerce, pushing physical retail into a new stage of human-goods-machine collaboration.

2. New challenges and response frameworks: The employment impact of robot replacement brought by technological transformation is a core new challenge the industry must address. JD has explored a human-robot symbiosis solution of "robots perform tasks, humans manage robots", balancing technological upgrading and workforce stability through upskilling and job reallocation for existing employees, which offers meaningful reference for the industry.

3. Innovative business model: JD has formed a closed-loop business model of "technology refinement → ecosystem empowerment → sales growth → technology feedback". It refines robotics technology leveraging its own massive real business scenarios, then empowers partner brands to drive sales growth of the robotics category, while technological upgrades in turn improve its own retail and logistics efficiency, forming a positive cycle. This is a new exploration of retail-AI integration that deserves in-depth research.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

这一天终于到来。

出品 | 电商头条 作者 |木易

这两年,关于机器人的讨论越来越多。

其中频繁出现的一个观点是,未来十年,许多岗位将会被机器人取代。

可能大多数人会认为,这件事离自己还很遥远。

但今年618期间,京东MALL迎来了一批特殊的新员工。

这些智能机器人,有的在门口迎宾,有的在货架前理货,分工井然有序。

以往,机器人多出现在实验室、展会现场,或者物流仓库等场景中。

而这一次,京东让机器人走到了消费者面前,成为在门店承担真实工作的员工。

在木易看来,这或许也意味着,机器人正在悄悄改变线下零售的运营模式。

京东机器人上岗

木易注意到,过去机器人落地于商业场景,大多局限在跳舞、打招呼、简单问答等单点展示上,往往很难把机器人融入门店的常态化运营。

背后的原因很现实,线下零售太复杂了。

顾客的问题千差万别,行进路线需要动态调整,上下架商品也不只是简单的重复动作。

而京东MALL的这次尝试,似乎是想要在努力克服这些现实限制的前提下,让机器人实现真正的上岗和精细化分工。

在迎宾岗位上,搭载有专属语料库的智元X2人形机器人,不仅能指引顾客前往洗手间、服务台等点位,还能进行简单的互动表演。

导购岗则由宇树Go2四足机器狗承担,可以实现品类级的精准带路。负责理货的智元G2、睿尔曼RealBOT机器人,能完成商品上架、货品规整等标准化工作。

此外,咨询岗上的众擎导购机器人,可以实时同步京东数万SKU的参数、优惠、库存等信息,有效改善传统导购中话术固化、信息滞后的问题。

木易发现,京东MALL机器人员工的这套清晰分工,其实已经覆盖了消费者逛线下门店的多个关键节点。

顾客刚进门,有机器人接待。想找具体的品类,机器狗能带路。特定商品的详细信息,也有智能导购快速同步。

简单来说,京东正在尝试把机器人嵌入线下门店的运营全链条。

据悉,支撑这些机器人员工运行的,是京东三位一体的自研技术底座。

首先,坐落于江苏宿迁的京东全球具身智能数据采集中心,负责为京东优化大模型提供海量的真实数据。

而京东的JoyInside,能为机器人提供自然对话、空间定位等交互能力。比如导购岗上的机器狗,就接入了JoyInside的导航导览能力。

具身大模型JoyAI-RA,则让机器人在门店作业场景中拥有更高的执行能力。基于这一模型,京东MALL负责理货的机器人,单品上架成功率稳定超过90%。

这点很关键,因为机器人能不能真正进入线下门店,关键在于它能不能理解真实场景,并在其中完成稳定动作。

木易认为,京东MALL这批机器人员工,实际上是京东把AI大模型、商品库、机器人硬件和线下门店结合起来后,形成的阶段性成果。

从这个角度看,京东MALL的机器人上岗,或许不只是一次简单的门店运营模式创新,还可能代表着实体零售的一次新拐点。

京东密集布局机器人

事实上,机器人员工在京东MALL上岗,并不是一个孤立的动作。

把时间线拉长来看,木易发现,京东过去几个月在机器人赛道上的动作非常密集。

今年3月,京东在AWE2026展会上表示,将在智能机器人领域投入超百亿资源,从产品定制、技术赋能研发等多个方面,助力机器人品牌伙伴实现营收突破。

一个月后的京东具身智能生态发布会上,京东宣布推出全球首个全链路具身智能数据基础设施。与此同时,具身大模型JoyAI-RA首次亮相。

前不久,京东还与机器人企业越疆科技,签署了一份战略合作协议,双方将共同推动具身智能在消费、商业及工业场景的规模化落地。

把这些动作串起来看,木易认为,京东显然不是在临时追热点,而是想要搭建一个机器人产业生态。

这个生态的一端,是机器人品牌和硬件产品。

有媒体透露,截至目前,京东已吸引超200家智能机器人品牌入驻平台,涵盖了从表演到做家务的多款机器人产品。

另一端,则是京东自己的场景和数据。

京东黑板报今年3月发文表示,京东将建成全球规模最大、场景最全的具身智能数据采集中心。

值得一提的是,对于具身智能来说,真实场景数据是机器人从会表演走向会干活的关键燃料。

而京东,恰好拥有零售、物流、外卖等大量真实业务场景,这也是京东布局机器人产业的底气所在。

但在京东机器人加速落地的同时,一个更现实的问题也随之出现。

机器越来越能干活,那人怎么办?

对此,刘强东在近日一次内部讲话中明确表态,“对于被机器取代的一线员工,京东一个都不会开除。”

刘强东还提到,京东在全国建立了80多个Robobase,用于培训蓝领工人机器人维修保养等新技能。

也就是说,京东在让机器人上岗的同时,也在想办法帮助员工跟着技术一起升级。

在木易看来,这说明京东不是简单地用机器人替代人,而是在试图搭建一套机器干活、人管机器的新型模式,尝试实现人与机器的协作和共生。

机器人业务正在反哺京东商业生态

京东为什么要如此重投入机器人?

如果把这件事简单地理解为跟风AI,或许会低估它对京东的战略分量。

木易观察到,在机器人领域的系列布局,为京东带来的价值,可能不只是多卖几台机器人那么简单。

更深层的意义在于,这一业务还正在反哺京东的商业生态。

首先被机器人影响的,是京东物流。

京东的机器人能力,最早就是从物流场景里长出来的。分拣、搬运、配送等环节,天然适合自动化和智能化。

京东2026年一季度财报披露,京东物流超脑大模型2.0搭配狼族机器人军团,已经覆盖全球超10个国家、500个仓库,物流环节自动化率达95%。

某种程度上,这组数字的背后,代表着京东整个物流履约体系的升级。

因为,当机器人和AI调度系统深度进入各个物流环节,京东的履约效率、成本控制和服务稳定性,都将得到长期提升。

另一项被机器人赋能的业务,是京东的线下零售。

作为京东在线下零售中的重要抓手,相比于传统线下门店,京东MALL的面积大、SKU多、品类复杂。

因此,对这类大型零售门店来说,有很多地方会影响实际运营效果。

一是顾客找不到商品,逛得累。二是导购信息跟不上,介绍不准。三是卖场理货效率不足,影响商品展示。

这次京东MALL这次实习上岗的机器人,刚好可以充分解决这些痛点。

更重要的是,机器人带来的体验感,还会提升门店对消费者的吸引力。

可见,机器人既能提高线下零售的服务效率,还能制造新的记忆点。

值得注意的是,机器人作为新消费品类,它自身也正在成为京东电商生态的一大新增量。

今年京东618启动后4小时,宇树机器人成交额同比增长271%。此外,京东官方透露,京东今年助推机器人品牌累计销售破100亿元。

把物流、零售、电商放在一起看,木易发现,京东正在把机器人放进自己的商业循环,使其成为连接技术研发、消费者体验、供应链效率的关键所在。

回到机器人员工在京东MALL上岗,木易认为,它最让行业震动的地方,可能是背后透露出的一个信号。

那就是,未来的零售,或许不再只是人与商品的连接,而会逐渐形成一种人、商品和机器人共同协作的新生态。

而正在搭建机器人产业生态的京东,显然希望成为最早推动这场变革发生的人。

注:文/木易,文章来源:电商头条(公众号ID:ecxinwen),本文为作者独立观点,不代表亿邦动力立场。

文章来源:电商头条

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