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突发 腾讯联手京东带货

高飞 2026-06-09 09:47
高飞 2026/06/09 09:47

邦小白快读

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本文核心干货是京东联手腾讯围绕AI Agent展开深度合作,将给普通消费者带来更智能便捷的购物体验,同时披露了京东全链路AI布局的最新进展。

1. 购物流程将大幅简化,未来用户无需打开京东APP层层搜索跳转,在微信或手机终端原生智能体说出购物需求,AI就能完成推荐、下单,由京东负责配送履约,购物路径大幅缩短。

2. 目前合作已有落地进展,京东AI Agent已经对接OPPO、荣耀等主流终端厂商,此前腾讯元宝就已经接入京东,支持点击直接跳转购买书籍,后续还会拓展到外卖等更多生活服务。

3. 当前京东已有近8000万用户在一季度使用AI导购工具“京言”购物,AI已经覆盖购物推荐、物流配送等多个环节,能帮消费者更快找到合适的商品。

本次京东与腾讯的AI合作,为品牌商披露了AI零售时代的新渠道变化、流量规则和消费趋势,对品牌布局有重要参考价值。

1. 渠道拓展机会:本次合作打通了微信十几亿国民级流量和京东成熟供应链,品牌商品有机会突破传统京东APP的场景限制,嵌入用户日常高频场景,直接触达海量潜在用户,获客空间进一步打开。

2. 流量规则变化:AI时代商品和服务权重将成为获得AI推荐、被用户看见的核心要素,过去依赖流量投放的曝光逻辑将改变,品牌需要聚焦提升商品本身和服务质量。

3. 运营提效空间:目前AI已经深入商家经营的全环节,覆盖经营诊断、商品运营、营销投放、直播转化、客服服务等,能帮助品牌降低运营成本,提升转化效率。

4. 消费趋势明确:AI购物已经成为不可逆的行业趋势,用户对购物便捷性、需求匹配精准度的要求越来越高,品牌需要提前适配新的购物场景。

京东与腾讯的AI合作为广大卖家带来了新的增长机会,也明确了新的运营方向和风险要点,干货如下。

1. 新流量增长机会:依托微信十几亿超级流量入口,AI Agent模式把购物服务嵌入更多用户日常场景,打破了传统电商APP的流量天花板,卖家可以获得更多精准触达用户的机会,目前京东AI已经对接多个主流手机终端,流量池进一步扩大。

2. 运营方向调整:新的流量规则下,商品和服务质量成为AI推荐的核心指标,卖家需要从过去的流量买量运营,转向商品力和服务能力的打造,才能持续获得曝光。

3. 运营效率提升:AI已经接入京麦商家后台,全环节赋能商家经营,能帮助卖家降低运营成本,提升转化效果。

4. 风险提示:传统的流量玩法会逐渐失效,如果不及时适配AI推荐规则,卖家很可能会失去曝光机会,需要提前调整布局。

京东的AI全链路布局和腾讯京东合作,为工厂带来了新的商业机会、产品方向和数字化转型启示,干货整理如下。

1. 产品生产设计新方向:AI购物可以精准捕捉用户需求,反向输出给生产端,帮助工厂更精准地匹配用户需求调整生产设计,降低库存积压风险,依托京东的赋能,工厂产品上市周期可以缩短30%,新品推出效率大幅提升。

2. 明确的商业机会:京东JoyInside平台已经对接40余家头部机器人和AI玩具品牌,今年已经助推机器人品牌累计销售破百亿元,能为智能硬件工厂提供技术赋能和销售渠道支持,工厂可以对接该平台获得增长机会。

3. 数字化转型启示:AI和机器人已经深度改造仓储、物流等劳动密集型环节,工厂可以引入自动化、AI技术提升生产效率;针对技术带来的岗位替代问题,可以参考京东“涅槃项目”的做法,通过再培训帮助员工转型,降低技术对企业和员工的冲击。

本次电商行业AI转型的新动向,为各类行业服务商披露了行业发展趋势、客户核心痛点和可参考的解决方案,干货整理如下。

1. 行业发展新趋势:AI Agent已经从单点应用走向生态协同,To A(服务AI Agent)已经成为越来越重要的赛道,将成为服务商新的增长极;流量入口和供应链履约分工协同,是AI零售落地的核心方向。

2. 客户核心痛点:当前电商行业普遍面临流量成本上升、用户增长放缓的痛点,传统流量入口增长见顶,商家迫切需要新的获客渠道和运营提效工具;AI服务商普遍存在落地场景不足、缺乏履约能力的痛点,需要补齐零售端能力缺口。

3. 可参考的解决方案:服务商可以参考京东腾讯的分工协同模式,发挥自身优势对接互补资源,AI服务商可以对接优质电商零售的履约能力,打造完整服务闭环;零售服务商可以对接AI流量入口,拓展获客空间,降低自研入口的成本投入。

京东与腾讯的AI合作为各类平台披露了AI时代平台发展的新方向、需求变化和风险规避要点,干货整理如下。

1. 供需两端对平台的新需求:用户对购物便捷性要求提升,需要更短路径的一站式购物服务;商家对低成本流量和高转化的需求越来越迫切,AI赋能已经成为平台满足供需需求的核心抓手。

2. 可参考的平台最新做法:平台可以走生态协同路线,不用从零打造全链路AI生态,拥有流量的平台可以对接优质供应链和履约平台,共同打造AI Agent服务闭环,降低投入成本;平台可以参考京东的做法,将AI嵌入消费全链路和商家运营全环节,同时布局万物互联智能入口,抢占未来先机。

3. 风向规避要点:平台不要盲目烧钱从零打造流量入口,通过生态合作切入AI场景可以大幅降低试错成本;同时需要及时调整流量分配规则,向商品和服务质量倾斜,适配AI推荐的逻辑,避免规则滞后导致用户和商家流失。

本文披露了电商零售行业AI转型的最新产业动向,提出了新的商业模式和值得研究的新问题,干货整理如下。

1. 最新产业动向:京东与腾讯的合作标志着互联网平台的AI合作进入第三阶段,从早期的资本合作、流量入口合作,转向AI Agent生态协同,To A已经成为电商行业新的核心业务方向,AI已经全面融入零售前端获客、中端商家运营、后端仓储物流履约全链条。

2. 创新商业模式:本次合作打造了“超级国民流量入口+AI Agent+成熟供应链履约”的跨场景智能化服务新范式,不同于阿里、抖音自研AI入口的模式,是分工协同的全新商业模式,为行业提供了新的发展思路。

3. 值得研究的新问题:本文提出了AI技术替代传统劳动岗位的行业共性问题,京东推出“涅槃项目”,通过再培训帮助员工转型,承诺不裁员,为行业应对技术冲击提供了可研究的参考案例,对研究技术变革下的企业社会责任有重要价值。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

This article outlines JD.com's deep AI Agent collaboration with Tencent and the latest progress of JD's full-stack AI layout, which will bring smarter, more convenient shopping experiences to consumers.

1. The shopping process will be significantly simplified. In the future, users will not need to open the JD app and navigate through layers of searches and pages. They can simply state their shopping needs to native AI agents on WeChat or other mobile terminals, and the AI will complete product recommendations and place orders, with JD handling delivery and fulfillment, greatly shortening the entire shopping journey.

2. The partnership already has live deployments. JD's AI Agent has been integrated with leading device makers including OPPO and Honor. Tencent's Yuanbao AI already supports direct click-to-purchase for books via JD integration, and the partnership will later expand to more lifestyle services such as food delivery.

3. As of the first quarter of this year, nearly 80 million JD users have used Jingyan, JD's AI-powered shopping assistant, for purchases. AI now covers multiple stages of the shopping experience from product recommendations to logistics delivery, helping consumers find suitable products faster.

JD and Tencent's AI collaboration outlines new channel shifts, traffic rules and consumer trends for brands in the AI retail era, offering key insights for brand strategic planning.

1. New channel expansion opportunities: The partnership connects Tencent's 1 billion+ user base on WeChat with JD's mature supply chain. This allows brands to break out of the traditional boundaries of the JD app, embed their products into users' daily high-frequency scenarios, and directly reach a huge pool of potential customers, opening up greater space for customer acquisition.

2. Shifting traffic rules: In the AI era, product and service quality will become the core factor for earning AI recommendation and user visibility. The old exposure model relying on paid traffic buys will be upended, and brands will need to refocus on improving their product and service quality.

3. Greater operational efficiency: AI now penetrates all stages of brand operations, covering business diagnostics, product management, marketing投放, live commerce conversion and customer service, helping brands cut operational costs and improve conversion rates.

4. Clear consumer trend: AI-powered shopping is an irreversible industry trend. Consumers are demanding higher levels of shopping convenience and more accurate demand matching, so brands need to adapt to new shopping scenarios proactively.

JD and Tencent's AI collaboration brings new growth opportunities to sellers, while clarifying new operational directions and key risk points, as summarized below.

1. New traffic growth opportunities: Leveraging WeChat's 1 billion+ massive traffic entry point, the AI Agent model embeds shopping services into more of users' daily scenarios, breaking the traffic ceiling of traditional e-commerce apps. Sellers gain more opportunities to reach targeted users, and with JD's AI already integrated with multiple leading mobile device makers, the available traffic pool has expanded further.

2. Required operational adjustments: Under the new traffic rules, product and service quality have become the core metrics for AI recommendation. Sellers must shift from the old paid traffic acquisition model to building stronger product competitiveness and service capabilities to sustain consistent exposure.

3. Improved operational efficiency: AI has been integrated into Jingmai, JD's merchant backend, to empower all stages of seller operations, helping sellers cut operating costs and improve conversion results.

4. Risk warning: Traditional traffic-based tactics will gradually become obsolete. Sellers that fail to adapt to the new AI recommendation rules in time are very likely to lose exposure opportunities, so they need to adjust their strategic layout early.

JD's full-link AI layout and its collaboration with Tencent bring new business opportunities, product direction and digital transformation insights for factories, as summarized below.

1. New direction for product design and manufacturing: AI-powered shopping can accurately capture user demand and feed it back to manufacturers, helping factories adjust production and design to match user needs more accurately, reducing the risk of overstocking. With JD's enablement, factories can cut product launch cycles by 30%, greatly improving the speed of new product releases.

2. Clear business opportunities: JD's JoyInside platform has already partnered with more than 40 leading robot and AI toy brands, and has helped drive cumulative sales of over 10 billion yuan for robot brands this year. It can provide technical enablement and sales channel support for intelligent hardware factories, which can tap into new growth opportunities by connecting to the platform.

3. Insights for digital transformation: AI and robotics have already deeply transformed labor-intensive links such as warehousing and logistics. Factories can introduce automation and AI technology to boost production efficiency. For the job displacement brought by new technology, factories can reference JD's "Nirvana Project" approach, which helps employees transition through retraining to reduce the negative impact of technological change on both companies and workers.

The latest shift toward AI transformation in the e-commerce industry outlines industry trends, core client pain points and referenceable solutions for industry service providers, as summarized below.

1. New industry trends: AI Agent has moved from single-point applications to ecosystem collaboration. Serving AI Agent (To A) has become an increasingly important track, and will emerge as a new growth driver for service providers. Division of labor and collaboration between traffic entry points and supply chain fulfillment is the core direction for AI retail implementation.

2. Core customer pain points: The e-commerce industry broadly faces the pain points of rising traffic costs and slowing user growth, with traditional traffic entry points hitting growth ceilings. Merchants urgently need new customer acquisition channels and operational efficiency tools. Meanwhile, AI service providers commonly struggle with insufficient deployment scenarios and a lack of in-house fulfillment capabilities, and need to fill the gap in retail-side capabilities.

3. Referenceable solutions: Service providers can follow the division-of-labor collaboration model of JD and Tencent, leverage their own strengths and partner with complementary resources. AI service providers can integrate with the fulfillment capabilities of high-quality e-commerce retailers to build a complete service closed loop. Retail service providers can connect to AI traffic entry points to expand their customer acquisition space and cut the cost of developing in-house entry points from scratch.

JD and Tencent's AI collaboration outlines new development directions, shifting demand and risk mitigation points for platforms in the AI era, as summarized below.

1. New demand for platforms from both supply and demand: Consumers are demanding greater shopping convenience, and want one-stop shopping services with shorter paths. Merchants have growing demand for low-cost traffic and higher conversion rates, so AI enablement has become a core lever for platforms to meet the needs of both sides.

2. Referenceable latest platform practices: Platforms can pursue an ecosystem collaboration route instead of building a full-stack AI ecosystem from scratch. Traffic-owning platforms can partner with high-quality supply chain and fulfillment platforms to jointly build a closed-loop AI Agent service, cutting investment costs. Platforms can also follow JD's example by embedding AI across the entire consumer journey and all stages of merchant operations, while building out interconnected smart entry points to gain an early edge in the future market.

3. Key risk mitigation points: Platforms should not blindly burn cash to build traffic entry points from scratch; entering AI scenarios via ecosystem collaboration can greatly reduce trial-and-error costs. Platforms also need to adjust their traffic allocation rules in time to prioritize product and service quality, align with AI recommendation logic, and avoid user and merchant churn caused by outdated rules.

This article outlines the latest industry developments in AI transformation of e-commerce retail, proposes an innovative business model and new questions for research, as summarized below.

1. Latest industry developments: The JD-Tencent partnership marks that AI collaboration between internet platforms has entered its third phase, shifting from early-stage capital cooperation and traffic entry partnerships to AI Agent ecosystem collaboration. "To A" (serving AI agents) has become a new core business direction for the e-commerce industry, and AI is now fully integrated across the entire retail value chain: front-end customer acquisition, mid-tier merchant operations, and back-end warehousing, logistics and fulfillment.

2. Innovative business model: The partnership has created a new cross-scenario intelligent service paradigm of "massive national traffic entry + AI Agent + mature supply chain fulfillment," which differs from the self-developed AI entry model adopted by Alibaba and Douyin. It is an entirely new division-of-labor collaboration business model that offers a new development path for the industry.

3. New research questions: This article raises the common industry question of AI replacing traditional labor roles. JD's "Nirvana Project," which helps employees transition through retraining with a no-layoff commitment, provides a researchable reference case for the industry responding to technological disruption, and is of great value for research on corporate social responsibility amid technological change.

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.

老友重聚,盯上AI这门新买卖。

出品 | 电商头条 作者 |高飞

刘强东在多年前带着1.2万元来到中关村从4平方米柜台开始创业。彼时的他坚持只卖正品、明码标价就此把信任写进京东的基因。

2004年,他看见互联网的力量于是关闭线下门店全面转型线上电商。今天,新的技术浪潮已经到来AI正在重塑千行百业。京东站在又一个关键节点,刘强东再次掀起AI变革与腾讯围绕AI Agent展开合作,带领京东再次抓住时代机会,走向下一个十年。

京东与腾讯合作

打造超级AI入口

刘强东,拿到了最强的AI流量入口。

有媒体披露,京东与腾讯将围绕AI Agent展开深度合作。依托京东的商品供应链、履约服务能力及腾讯的生态入口优势,双方将共同打造跨场景的智能化服务新范式,推动AI Agent从单点应用走向生态协同。

腾讯手里攥着微信这个十几亿用户的国民级入口,京东有最强的供应链和百万商家。在AI加持下用户流量与商品供给精准打通,双方强强联合,意味着京东的商品与服务有机会更直接地触达海量用户。

据透露,通过A2A(Agent to Agent)合作,用户可直接在各终端原生智能体的京东AI Agent内提出购物需求、获取商品信息,并依托京东的履约与服务体系承接,形成从意图识别到服务保障的完整体验闭环。

在高飞看来,当下电商平台面临流量成本上升、用户增长放缓的问题。AI Agent与微信等生态入口结合后,京东有机会突破传统App场景把购物服务等嵌入更多用户日常场景中。

据悉,目前京东AI Agent已与OPPO、荣耀等多家主流终端厂商进行深度对接。通过A2A合作,用户可直接在各终端原生智能体的京东AI Agent内提出购物需求、获取商品信息,并依托京东成熟的履约与服务体系顺畅承接,形成从意图识别到服务保障的完整体验闭环。

事实上,早在去年腾讯元宝就已经接入京东,支持直接跳转京东购买纸质书。用户和元宝聊天中提到书名,如果是京东在售书籍,书名将自动显示下划线,开头也会显示封面卡片,点击就能直接跳转到京东进行购买。

未来,用户在京东买东西、点外卖可能不再需要层层搜索和跳转,或许在微信说出需求AI Agent就能完成推荐、下单,并由京东等电商那个平台的履约体系完成承接。商家也将迎来新的流量规则,商品和服务权重将成为被AI、用户看见的关键要素。

巧合的是,腾讯元宝前段时间也与美团达成了合作。美团创始人王兴提到,美团AI助手“小美”与腾讯“元宝”的合作,将于近期上线。

按照王兴的表述,合作上线后,用户可直接在“元宝”中输入诉求,通过“小美”调用外卖等本地生活服务,帮助用户更便捷无缝地完成一站式本地生活服务的交易。王兴认为,未来,除了服务消费者(To C)和商家(To B),服务AI Agent(To A)将变得越来越重要。

高飞认为,阿里旗下的千问、抖音旗下的豆包已经充分融入自家平台购物场景,而京东面对来势汹汹的AI购物时代,迫切需要一个新的入口来讲出新的故事。一直以来,微信的流量都被各大平台垂涎。且在各大平台都在造“超级APP入口”的叙事里,京东不用自己从零烧钱抢流量直接接上了最大的流量水龙头,何乐而不为。如果顺利,有可能在豆包或者千问之中实现突围。

京东AI,重写零售

去年,京东关闭了与合作十年的微信购物入口,京东在微信内最醒目的一级入口正式退出历史舞台,令不少用户感到唏嘘,直言麻烦了不少。

2025年9月,京东购物公众号发布通知称,微信“发现—购物”中的京东入口将于9月30日关闭,并提醒用户将京东购物小程序添加至我的小程,或通过微信钱包页下方入口继续使用相关购物服务。

要知道,在2022年6月,京东与腾讯曾重续战略合作协议,为期三年。根据当时公告,腾讯将在微信平台继续向京东提供一级和二级访问入口,为京东带来流量支持。双方还计划在通信、技术服务、营销广告、会员服务等领域继续合作。彼时,作为回报京东也向腾讯发行一定数量的A类普通股,总对价最高可达2.2亿美元。

对京东而言,微信的国民级流量池拓宽了获客渠道,提高商家的转化率。对微信而言,京东的交易能力也丰富了微信生态中的商业场景。腾讯给流量京东做交易,双方各取所需。

高飞认为,合作入口关闭并不意味着双方合作的终结,更是双方关系新的延续。如今,双方正在转向通过AI理解用户的需求,并在合适场景中配置相应服务将供需两端精准链接。这是京东与腾讯双方一拍即合的关键。

当然,京东也迎来了AI叙事阶段。今年京东宣布618将首次全场景、全产业融入AI。京东集团技术委员会主席、京东云总裁曹鹏5月在京东618启动发布会上宣布,今年京东体系AI相关研发投入增长将超200%。这也意味着,在内部AI已经被京东推到了业务前台。

在高飞看来,京东正在把AI嵌入消费链路的每一个环节。过去用户在电商平台购物,需要搜索、筛选、比价、看评价甚至是问客服。现在AI导购可以直接理解需求,帮助用户完成商品推荐和购买决策。消费者的购物路径变短了,而平台、商家的转化效率也被进一步放大。

同时,AI也能在商家侧,AI已经深入京麦后台的经营诊断、商品运营、营销投放、直播转化、客服服务等环节。

据透露,今年一季度,在京东App用“京言”辅助购物的用户近8000万,同比增长超200%,京东Joylnside今年将植入超千万台智能硬件设备,成为万物互联的超级入口。

除此之外,京东也已经预判到机器人和AI会深刻改变物流、仓储、配送、商超等劳动密集型环节。

今年1月京东成立了“变色龙业务部”,全面承接JoyAI App、JoyInside、数字等核心AI产品的打造与商业化。京东JoyInside平台已与40余家头部机器人和AI玩具品牌实现技术对接,为智能终端植入高情商“大脑”,硬件设备对话轮次平均提升超120%。

从成果来看,曹鹏透露,在京东零售方面,今年助推机器人品牌累计销售破100亿元,产品上市周期缩短30%;在京东物流方面,京东五年投入300万台机器人、100万台无人车和10万架无人机。“京东将打造全球最大物理世界运营中心,推动AI从千行百业走进千家万户。”他说。

简而言之,从单纯的流量入口合作,再到AI流量入口生态协同,腾讯与京东的关系正在进入第三阶段。腾讯需要京东这样的优质服务供给方,补齐AI Agent在电商、零售、履约等场景中的落地能力。而京东则需要腾讯这样的超级入口,让自己的AI零售能力进入更高频、更广泛的用户场景。

近日,京东集团创始人刘强东的一段内部讲话引发关注。讲话中,他提到京东已经在内部启动“涅槃项目”,计划在全国建设80多个RoboBase,用于培训一线蓝领员工掌握机器人维修、保养、调试等新技能。

这一背景是AI和机器人技术正在加速进入仓储、物流、配送等劳动密集型场景。随着自动化程度提升,部分传统岗位不可避免会被机器人替代。但在刘强东的表述中,京东选择通过再培训帮助他们完成岗位转型。

刘强东表示,对于被机器人取代的一线员工,京东一个都不会开除,京东要把新技术对这50多万个蓝领工人及其家庭的冲击降到最低。

二十多年前,刘强东从中关村线下柜台转向线上电商,是因为他看到了互联网对零售效率的重塑。今天,AI正在带来另一场效率革命。对于京东而言,AI是下一个十年必须抓住的核心变量。

注:文/高飞,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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