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百秋尚美集团发布NexxAI无人值守数字零售运营智能体生态 实现Copilot到Autopilot跃迁

龚作仁 2026-10-23 15:05
龚作仁 2026/10/23 15:05

邦小白快读

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核心看点是百秋尚美集团发布NexxAI无人值守数字零售运营智能体生态,董事长兼CEO刘志成提出电商运营将从Copilot走向Autopilot。

1. 路径清晰:L1辅助生成、L2完整执行、L3自主决策、L4无人值守,可作为评估AI应用阶段的标尺。

2. 落地场景:先从直播切入,提供秒级实时响应、分钟级直播决策、小时级学习复盘,再拓展商品、内容、投放、运营、客服。

3. 实操支撑:自研TAMC多模态时序事实存储引擎可回溯任意直播,RSI递归自迭代让系统自我进化,System One/System Two快慢脑兼顾即时响应与长周期推演。

4. 效果参考:测试显示有效决策数、决策参考维度、并发任务处理数达人工数倍,并推动GMV和订单量增长。

百秋把多年数字零售经营经验封装为NexxAI智能体生态,直接服务品牌日常经营,这是品牌商最值得关注的变化。

1. 经营协同:面向不同经营环节的智能体围绕品牌目标协同,理解经营现场,发现问题机会,形成行动方案,并在明确权限和人员监督下执行、复盘改进。

2. 服务价值:品牌可获得及时、稳定、贴合自身目标的经营服务,智能体参与问题发现、协同响应和结果复盘,推动服务质量持续提升。

3. 增长参考:测试显示NexxAI在决策质量、需求响应和增收三个维度体现价值,单场直播有效决策数、单次决策参考维度、批量任务处理数达人工数倍,并推动直播间GMV与订单成交量正向增长。

4. 合作信号:发布会现场品牌客户对功能应用高度关注并期待更多领域合作;未来效率提升后还可服务更多中小品牌,提供综合解决方案。

对卖家而言,NexxAI释放的信号是电商运营从拼流量、拼人力转向拼经营质量、响应效率和持续服务能力。

1. 新模式:百秋提出无人值守店铺L1至L4路径,NexxAI以Autopilot为目标,让AI自主完成感知、决策、执行和复盘闭环,并对经营结果负责。

2. 可学习点:不是只做个人提效,而是以业务场景为着力点重构流程,用AI替代流程节点上的人,建设AI Native组织;同时强调无人值守不等于无人负责,需明确权限和人员监督。

3. 机会提示:先从直播切入,提供秒级响应、分钟级决策、小时级复盘,再拓展商品、内容、投放、运营、客服;测试中有效决策数、并发任务处理数达人工数倍,GMV和订单成交量正向增长。

4. 合作方式:品牌客户可在NexxAI更多领域与百秋合作,未来中小品牌也有望获得综合解决方案。

文章虽未直接讲工厂生产,但对推进数字化和电商运营有几点启示。

1. 组织数字化:百秋强调AI Native组织,不以单点工具给个人提效,而是梳理整体流程、以业务场景为着力点,用Agent替代流程节点上的人,这对工厂流程再造有参考意义。

2. 系统底座:百秋自研Futail零售系统,为Agent执行提供系统底座;同时NexxAI以真实业务场景和长期经营经验为基础,说明数字化需要业务系统与数据沉淀配合。

3. 技术产品化:直播版本搭载自研TAMC多模态时序事实存储引擎,整合时间轴上的跨模态信息,支持回溯复盘;RSI递归自迭代机制把决策轨迹与反馈回流用于优化;System One/System Two快慢脑兼顾即时判断与长周期规划。

4. 商业机会:NexxAI从直播拓展到商品、内容、投放、运营、客服,未来可服务更多中小品牌,显示数字零售运营工具存在生态合作与解决方案机会。

对服务商来说,NexxAI展示了数字零售服务从个人经验驱动走向专业团队与智能体协同的趋势。

1. 客户痛点:电商运营胜负手从人脑经验转向组织能力,单靠人力很难同时看全数据、盯满全天、接住并发需求,店铺也容易依赖个人经验。

2. 解决方案:NexxAI以百秋长期经营经验、真实业务场景和系统能力为基础,让不同环节智能体围绕品牌目标协同,理解现场、发现问题机会、形成方案,在权限和监督下执行并复盘改进。

3. 新技术:直播版本搭载自研TAMC多模态时序事实存储引擎,以时间轴锚整合跨模态信息,支持回溯任意直播;RSI递归自迭代机制将决策轨迹与反馈回流用于持续优化;System One/System Two快慢脑兼顾低延迟响应与长周期规划推演。

4. 趋势与效果:AI进入与真实业务深度结合阶段,测试显示有效决策数、参考维度、批量任务处理数达人工数倍,并推动GMV和订单量增长。

平台商可从NexxAI看到AI智能体进入零售运营后,对运营管理和生态协同的启示。

1. 运营管理:百秋提出无人值守店铺L1至L4路径,目标是用AI完成感知、决策、执行、复盘闭环并对经营结果负责;但无人值守不等于无人负责,需明确权限和人员监督,这为平台设计风控边界提供参考。

2. 商家服务:NexxAI面向不同经营环节的智能体围绕品牌目标协同,理解经营现场、发现问题和机会、形成行动方案并复盘改进,可作为平台服务品牌商家的能力参考。

3. 技术底座:自研Futail零售系统为Agent执行提供系统底座,TAMC多模态时序事实存储引擎支持直播全链路事实沉淀和回溯,RSI递归自迭代机制推动系统自我进化,System One/System Two快慢脑兼顾实时响应与长期规划。

4. 生态信号:发布会吸引品牌、投资人及媒体代表,红杉中国合伙人刘星参与剪彩;品牌客户期待更多领域合作,未来可服务更多中小品牌。

研究者可把NexxAI视为数字零售AI应用的一个产业样本。

1. 新动向:百秋尚美提出无人值守店铺L1至L4路径,从辅助生成、完整执行、自主决策到无人值守,并区分Copilot工具辅助与Autopilot自主闭环,为评估电商AI应用阶段提供标尺。

2. 新问题:文章提出AI应用不能只聚焦个人提效,而要面向整体工作流建设AI Native组织;同时强调无人值守不等于无人负责,需明确权限和人员监督,涉及组织重构与责任边界。

3. 技术路线:直播版本搭载自研TAMC多模态时序事实存储引擎,以时间轴锚整合跨模态信息;RSI递归自迭代机制将决策轨迹与反馈回流用于优化;System One/System Two快慢脑协同即时响应与长周期推演。

4. 商业模式:NexxAI把百秋长期经营经验产品化,以智能体生态进入品牌日常经营,从个人经验驱动走向专业团队与智能体协同;测试显示决策、响应与增收价值,未来可服务更多中小品牌,代表数字零售服务新探索。

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Quick Summary

Core takeaway: Baqiu Shangmei Group has launched NexxAI, an unattended digital retail operations agent ecosystem. Chairman and CEO Liu Zhicheng argues that e-commerce operations will move from Copilot to Autopilot.

1. Clear roadmap: L1 assisted generation, L2 full execution, L3 autonomous decision-making, and L4 unattended operations, providing a benchmark for assessing stages of AI application.

2. Deployment scenarios: starting with livestreaming, offering second-level real-time response, minute-level livestream decisions, and hour-level learning and review, then expanding to product, content, media buying, operations, and customer service.

3. Operational support: the proprietary TAMC multimodal temporal fact storage engine can replay any livestream; RSI recursive self-iteration enables system self-evolution; System One/System Two fast and slow thinking balance immediate response and long-cycle reasoning.

4. Performance reference: tests show that effective decisions, decision reference dimensions, and concurrent task processing reach several times human levels, while driving GMV and order growth.

Baqiu has packaged years of digital retail operating experience into the NexxAI agent ecosystem, directly serving brands’ daily operations—a change brands should watch most closely.

1. Operational collaboration: agents for different operational stages collaborate around brand goals, understand the operating context, identify problems and opportunities, form action plans, and execute and review improvements under clear permissions and human oversight.

2. Service value: brands can obtain timely, stable operating services aligned with their own goals; agents participate in problem discovery, coordinated response, and performance review, continuously improving service quality.

3. Growth reference: tests show that NexxAI delivers value in decision quality, demand response, and revenue growth. Effective decisions per livestream, reference dimensions per decision, and batch task processing reach several times human levels, while driving positive growth in livestream GMV and order volume.

4. Partnership signal: at the launch event, brand clients showed strong interest in the features and expected broader collaboration; as efficiency improves, NexxAI may also serve more small and midsize brands with integrated solutions.

For sellers, NexxAI signals a shift in e-commerce operations from competing on traffic and manpower to competing on operating quality, response efficiency, and continuous service capability.

1. New model: Baqiu proposes an L1-to-L4 path for unattended stores, with NexxAI targeting Autopilot so AI can autonomously complete the closed loop of perception, decision-making, execution, and review—and be accountable for operating results.

2. What to learn: the point is not merely personal productivity gains but reconstructing processes around business scenarios, replacing people at process nodes with AI, and building an AI-native organization; it also stresses that unattended does not mean unaccountable, requiring clear permissions and human oversight.

3. Opportunity signals: start with livestreaming, providing second-level response, minute-level decisions, and hour-level review, then expand to product, content, media buying, operations, and customer service; in tests, effective decisions and concurrent task processing reach several times human levels, with positive growth in GMV and order volume.

4. Collaboration: brand clients can work with Baqiu in more NexxAI areas, and smaller brands are expected to gain access to integrated solutions in the future.

Although the article does not directly address factory production, it offers several implications for digitalization and e-commerce operations.

1. Organizational digitalization: Baqiu emphasizes an AI-native organization—not using point tools to improve individual productivity, but mapping the overall workflow and focusing on business scenarios to replace people at process nodes with agents. This has reference value for factory process reengineering.

2. System foundation: Baqiu’s proprietary Futail retail system provides a system foundation for agent execution; NexxAI is based on real business scenarios and long-term operating experience, showing that digitalization requires both business systems and accumulated data.

3. Technology productization: the livestreaming version features the proprietary TAMC multimodal temporal fact storage engine, integrating cross-modal information along a timeline to support replay and review; the RSI recursive self-iteration mechanism feeds decision trajectories and feedback back into optimization; System One/System Two fast and slow thinking balance immediate judgment and long-cycle planning.

4. Business opportunities: NexxAI is expanding from livestreaming to product, content, media buying, operations, and customer service, and may serve more small and midsize brands in the future, indicating ecosystem collaboration and solution opportunities in digital retail operations tools.

For service providers, NexxAI demonstrates a trend in digital retail services: moving from individual experience-driven work to collaboration between professional teams and agents.

1. Client pain points: the decisive factor in e-commerce operations is shifting from human experience to organizational capability. Manpower alone struggles to see all data simultaneously, monitor all hours, and handle concurrent demand, while stores easily become dependent on individual experience.

2. Solution: based on Baqiu’s long-term operating experience, real business scenarios, and system capabilities, NexxAI enables agents across different stages to collaborate around brand goals—understanding the context, identifying problems and opportunities, forming plans, and executing and reviewing improvements under permissions and oversight.

3. New technologies: the livestreaming version features the proprietary TAMC multimodal temporal fact storage engine, using a timeline anchor to integrate cross-modal information and support replay of any livestream; the RSI recursive self-iteration mechanism feeds decision trajectories and feedback back for continuous optimization; System One/System Two fast and slow thinking balance low-latency response with long-cycle planning and reasoning.

4. Trend and results: AI is entering a phase of deep integration with real business. Tests show that effective decisions, reference dimensions, and batch task processing reach several times human levels, while driving GMV and order growth.

Marketplace operators can draw from NexxAI lessons about operations management and ecosystem collaboration as AI agents enter retail operations.

1. Operations management: Baqiu proposes an L1-to-L4 path for unattended stores, aiming for AI to complete the closed loop of perception, decision-making, execution, and review and to be accountable for operating results; however, unattended does not mean unaccountable—clear permissions and human oversight are required, offering a reference for platforms designing risk-control boundaries.

2. Merchant services: NexxAI’s agents for different operational stages collaborate around brand goals, understand the operating context, identify problems and opportunities, form action plans, and review improvements—useful as a capability reference for platforms serving brand merchants.

3. Technology foundation: the proprietary Futail retail system provides the system foundation for agent execution; the TAMC multimodal temporal fact storage engine supports full-chain fact capture and replay for livestreaming; the RSI recursive self-iteration mechanism drives system self-evolution; System One/System Two fast and slow thinking balance real-time response and long-term planning.

4. Ecosystem signals: the launch event attracted brands, investors, and media representatives, with Sequoia China partner Liu Xing participating in the ribbon-cutting; brand clients look forward to broader collaboration, and NexxAI may serve more small and midsize brands in the future.

Researchers can view NexxAI as an industry sample of AI application in digital retail.

1. New development: Baqiu Shangmei proposes an L1-to-L4 path for unattended stores—from assisted generation and full execution to autonomous decision-making and unattended operations—and distinguishes Copilot tool assistance from Autopilot autonomous closed loops, providing a benchmark for assessing stages of e-commerce AI application.

2. New questions: the article argues that AI application should not focus only on individual productivity but should build AI-native organizations around the overall workflow; it also stresses that unattended does not mean unaccountable, requiring clear permissions and human oversight, which involves organizational restructuring and responsibility boundaries.

3. Technical route: the livestreaming version features the proprietary TAMC multimodal temporal fact storage engine, using a timeline anchor to integrate cross-modal information; the RSI recursive self-iteration mechanism feeds decision trajectories and feedback back for optimization; System One/System Two fast and slow thinking coordinate immediate response and long-cycle reasoning.

4. Business model: NexxAI productizes Baqiu’s long-term operating experience and enters brands’ daily operations through an agent ecosystem, moving from individual experience-driven work to collaboration between professional teams and agents; tests show value in decision-making, response, and revenue growth, and it may serve more small and midsize brands in the future, representing a new exploration in digital retail services.

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.

10月20日,电商代运营头部企业百秋尚美集团举办NexxAI无人值守数字零售运营智能体生态发布会,近百位来自品牌、投资人及媒体的代表参与。百秋尚美集团董事长&CEO刘志成与公司高层、技术专家在发布会上分享集团的AI整体战略及NexxAI产品介绍,核心团队与战略伙伴红杉中国合伙人刘星一同完成产品发布剪彩。

无人值守店铺战略的四阶段演进(L1—L4)

百秋尚美集团董事长&CEO刘志成早在2025年提出了电商运营的终极目标是实现“无人值守店铺”,也是行业里首次提到此战略的数字零售服务企业。百秋无人值守店铺将沿着Autopilot的L1—L4路径持续进阶——从L1辅助生成、L2完整执行,到L3自主决策,最终实现L4无人值守。L1-L4是对电商行业在AI应用阶段提供的一道标尺方案,既可评估电商运营企业AI应用的现状,也为未来发展指明方向。

传统的AI工具辅助人对系统提效为Copilot模式,NexxAI所代表的AI智能体生态的目标是Autopilot模式,Autopilot模式要求AI自主完成感知、决策、执行和复盘闭环,并对经营结果负责。

当前AI应用普遍聚焦个人提效,而非整个工作流的提效,而要达成组织提效则从一开始就是着眼于整体,梳理整体流程,以业务场景为着力点,不是协助流程节点上的人,而是力图用AI来替代流程节点上的人,以此为基础制定组织流程,这就是所谓的AI Native组织,而今天的Agent能力恰恰支撑了这个可能行。当然无人值守并不等于无人负责,而是AI全链路介入后,业务流程实现高度自动化与智能化的最终形态。

无人值守店铺落地基础:百秋能力优势与精英团队

实现“无人值守店铺”百秋已具备几大优势:a、智能Agent可无缝接管线上操作的零售服务;b、经营结果导向符合AI结果交付的应用场景;c、公司沉淀的行业及运营经验,为模型训练和技能构建提供了决策基础;d、百秋自研Futail零售系统,为Agent的执行有系统的底座。后续,百秋将着力于围绕AI目标规划与自主经营的能力进行探索。

为实现这一愿景,百秋组建了一支兼具国际视野、技术深度与业务实战经验的核心团队。团队汇集了具备产业操盘与AI转型经验的推动者、深耕AI大模型产业化实践的技术专家,以及熟悉平台、品牌与服务一线的业务专家,能够连接技术、资本与产业,将品牌经营痛点转化为产品设计,并支撑百秋无人值守店铺愿景逐步落地。

NexxAI从智能体生态到领先技术应用

NexxAI是百秋实现无人值守数字零售运营的智能体生态。它以百秋长期积累的数字零售经营经验、真实业务场景和系统能力为基础,让面向不同经营环节的智能体围绕品牌目标协同工作:理解经营现场,发现问题和机会,形成行动方案,在明确权限和人员监督下推动执行,再结合过程与结果复盘、改进。由此,经营中的判断和经验可以持续沉淀,成为下一次服务的依据。

直播经营变化快、信息密集,是NexxAI本次发布重点展示的场景。目前,NexxAI直播领域应用已为直播场景提供了秒级实时响应、分钟级直播决策、小时级的持续深度学习和复盘,支撑该场域的全面运营。百秋将从直播出发,逐步探索商品、内容、投放、运营、客服等更多数字零售环节,向无人值守数字零售运营的长期目标推进。

本次发布的直播产品版本,是行业首次搭载百秋自研TAMC(Timeline-Anchored Multimodal Chronicle)多模态时序事实存储引擎,面向直播电商完成全链路事实沉淀与高效查询,它以时间轴为锚整合直播间各类跨模态信息,支撑Agent随时回溯复盘任意一场直播;同时依托RSI(Recursive Self-Improvement)递归自迭代机制,将Agent业务运行产生的决策轨迹与反馈回流用于持续优化,实现系统自我进化。NexxAI引入System One、System Two快慢脑双范式架构,System One承担低延迟即时判断、快速响应直播间变化,System Two调用TAMC事实库开展长周期规划与推演,二者协同,让Agent兼顾实时响应与长期业务协同,实现技术能力和业务目标对齐,在直播场景稳定落地。

NexxAI推进商业新模式

当电商运营的胜负手从“人脑经验”转向“组织能力”,单靠人力已很难同时做到看全数据、盯满全天、接住并发需求。NexxAI接管运营人员的多数执行任务,让其聚焦更高价值的思考工作。百秋尚美的测试结果表明,NexxAI在决策、响应与增收三个维度展现出AI对组织目标达成的显著价值。决策质量上,NexxAI单场直播有效决策数及单次决策数据参考维度均达人工数倍;需求响应上,同一时间批量处理任务数亦达人工数倍,推动直播间GMV与订单成交量正向增长。同时,直播回溯可复盘全过程数据趋势,使增长逻辑更清晰,帮助店铺摆脱个人经验依赖。

对品牌而言,NexxAI让百秋长期积累的数字零售经营经验,以智能体生态的方式进入品牌的日常经营。随着产品在真实场景中持续应用,更多品牌将有机会获得百秋及时、稳定、贴合自身目标的经营服务。智能体参与发现问题、协同响应和复盘结果,也将推动品牌服务质量持续提升。对百秋而言,NexxAI推动数字零售服务从个人经验驱动,走向专业团队与智能体协同。这既是百秋向无人值守数字零售运营目标迈出的重要一步,也为行业探索下一代数字零售服务提供了路径。

在发布会的交流现场,品牌客户对产品的功能应用给予了高度的关注和期待,并希望与百秋开展在NexxAI更多领域的合作。未来运营效率提升后,NexxAI可以服务更多中小品牌,为他们提供综合解决方案。

当前电商竞争正在从流量和人力投入的比拼,走向经营质量、响应效率与持续服务能力的较量。与此同时,AI行业也进入技术与真实业务深度结合的阶段,前景广阔。百秋选择以NexxAI从电商场域经营切入,将多年品牌服务经验、业务场景与智能体技术连接起来,在实际应用中持续验证和完善。这一方向契合电商与AI的发展趋势,也展现出值得期待的商业潜力。期待百秋携手更多品牌和生态伙伴,把经过验证的能力拓展到更多数字零售场景,助推中国电商引领全球,为世界打造先进样板。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

文章来源:Laborer

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FAQ回顾

百秋尚美的NexxAI是什么?

NexxAI是百秋尚美集团发布的无人值守数字零售运营智能体生态,它基于百秋长期积累的数字零售经营经验、真实业务场景和系统能力,让不同经营环节的智能体围绕品牌目标协同工作,覆盖理解现场、发现问题、形成方案、执行和复盘等环节。

无人值守数字零售运营的L1—L4阶段分别是什么?

百秋无人值守店铺沿Autopilot的L1—L4路径进阶:L1为辅助生成,L2为完整执行,L3为自主决策,L4为无人值守。该路径作为电商行业AI应用阶段的标尺方案,可评估运营企业AI应用现状并为未来发展指明方向。

NexxAI在直播电商场景有哪些应用能力?

NexxAI在直播场景可提供秒级实时响应、分钟级直播决策、小时级持续深度学习和复盘。其直播产品版本搭载自研TAMC多模态时序事实存储引擎,以时间轴整合跨模态信息,支持Agent回溯复盘任意直播,并通过RSI递归自迭代机制持续优化。

NexxAI的Autopilot模式与Copilot模式有何区别?

Copilot模式是AI工具辅助人对系统提效;NexxAI代表的Autopilot模式要求AI自主完成感知、决策、执行和复盘闭环,并对经营结果负责。它强调从个人提效转向整体工作流与组织提效,用AI替代流程节点上的人。

NexxAI能为品牌和电商运营带来哪些实际价值?

百秋测试显示,NexxAI在决策、响应与增收三个维度体现价值:单场直播有效决策数、单次决策数据参考维度及同时批量处理任务数均达人工数倍,推动直播间GMV与订单成交量正向增长;直播全过程数据可回溯,帮助店铺减少个人经验依赖。

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