海尔智家超级智能体“智小能”实现全员全面AI化

作者：龚作仁文章来源：Laborer

2026-01-28 10:31

作者：龚作仁文章来源：Laborer

2026-01-28 10:31

邦小白快读

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海尔智家推出超级智能体“智小能”，实现全员全面AI化，带来显著效率提升和实操干货。

1. 在研发阶段，AI图纸识别技术实现信息一键提取，效率提升90%；2. 采购环节中AI辅助一键比价和预测行情，帮助降低成本10%；3. 制造方面AI应用提升整体排产采纳率8%，产品准时下线率12%；4. 物流领域上线31项AI能力，车辆调配效率提高50%；5. 通用办公场景AI化后，员工效率提升约80%，包括会议总结和智能翻译等功能。

员工通过H-work平台开发个人智能体262个，企业智能体89个，推动近百个智能场景落地，促进AI人才成长。

海尔智家AI实践助力品牌营销和产品研发，洞察消费趋势。

1. 产品研发中AI图纸识别提升效率90%，加速创新周期；2. AI人才策略（创造型和应用型）结合，培育内部能力；3. 消费趋势体现在用户行为观察上，如办公场景AI化提升效率80%，反映数字化需求增长。

代表企业海尔智家展示AI如何重塑组织，通过“智小能”实现全员AI化，提供品牌渠道建设启示。

海尔智家AI化提供增长机会和可学习点，应对市场变化。

1. 机会提示：AI在采购、制造等环节降低成本10%，提升效率8%-12%，带来新商业模式如智能体开发；2. 可学习点：员工开发262个个人智能体，结合H-work平台促进合作；3. 正面影响：办公效率提升80%，展示事件应对措施，如全员AI化减少风险。

无政策解读内容，但效率数据提示消费需求向AI解决方案转移。

海尔智家AI应用优化产品生产和设计，推进数字化和电商。

1. 制造方面AI使排产采纳率提升8%，产品准时下线率提升12%，满足生产需求；2. 商业机会：采购环节降低成本10%，启示通过AI工具如“智小能”提升竞争力；3. 推进数字化启示：物流效率提高50%，电商化启示来自H-work平台智能体落地。

数据案例展示AI如何设计需求，如编码效率提升33%。

行业趋势向AI集成发展，新技术解决客户痛点。

1. 新技术如超级智能体“智小能”，提供多场景解决方案；2. 客户痛点如效率低下，AI在研发提升90%，物流提升50%等；3. 发展趋势：全员AI化成为新方向，支持企业开发智能体。

海尔智家案例展示行业动向，如H-work平台年度发布89个企业智能体。

平台在AI化中支持运营管理，处理商业需求。

1. 平台最新做法：H-work平台集成智能编码（效率提升33%）、会议总结等AI能力，发布企业智能体89个；2. 运营管理：员工开发262个个人智能体，培育AI生态；3. 风向规避启示：全员AI化减少效率风险，如物流调配优化50%。

无直接招商内容，但平台功能提示对商业需求的支持。

全员AI化代表产业新动向，重塑商业模式和提出新问题。

1. 产业新动向：人与AI协同进化模式，通过“智小能”实现组织系统性重塑；2. 新问题：如何平衡AI人才创造和应用，如孙丹凤提出的两类人才策略；3. 商业模式：数据驱动智能化管理，效率提升8%-90%展示实际影响。

无政策法规建议，但海尔智家实践提供启示，如近百个智能场景推动落地。

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

Haier Smart Home has launched the super AI agent "Zhineng" to achieve comprehensive AI integration across all operations, delivering significant efficiency gains and practical applications.

1. In R&D, AI-powered drawing recognition enables one-click information extraction, boosting efficiency by 90%.

2. In procurement, AI-assisted price comparison and market forecasting help reduce costs by 10%.

3. In manufacturing, AI applications increase production scheduling adoption by 8% and on-time product completion by 12%.

4. In logistics, 31 AI capabilities have been deployed, improving vehicle dispatch efficiency by 50%.

5. In general office scenarios, AI integration has raised employee efficiency by approximately 80%, covering functions like meeting summaries and smart translation.

Employees have developed 262 personal AI agents and 89 corporate AI agents via the H-work platform, enabling nearly 100 smart scenarios and fostering AI talent growth.

Haier Smart Home's AI initiatives enhance brand marketing and product development while providing consumer trend insights.

1. AI drawing recognition in R&D accelerates innovation cycles with 90% efficiency gains.

2. AI talent strategy combines creative and applied roles to build internal capabilities.

3. Consumer trends are reflected in user behavior, such as 80% office efficiency improvements indicating growing digital demand.

Haier's "Zhineng" agent demonstrates how AI can reshape organizations through full-staff AI adoption, offering insights for brand channel development.

Haier's AI transformation presents growth opportunities and learnings for adapting to market changes.

1. Opportunities: AI reduces procurement costs by 10%, improves manufacturing efficiency by 8-12%, and enables new business models like agent development.

2. Learnings: Employees created 262 personal AI agents using the H-work platform to enhance collaboration.

3. Impact: 80% office efficiency gains demonstrate crisis resilience through organization-wide AI adoption.

While no policy analysis is provided, efficiency data suggests shifting consumer demand toward AI solutions.

Haier's AI applications optimize production and design while advancing digital and e-commerce capabilities.

1. Manufacturing AI increases production scheduling adoption by 8% and on-time completion by 12%.

2. Business opportunities: Procurement cost reduction by 10% shows how AI tools like "Zhineng" enhance competitiveness.

3. Digital transformation: 50% logistics efficiency gains and H-work platform agent deployment offer e-commerce insights.

Case data demonstrates AI-driven demand design, such as 33% coding efficiency improvements.

Industry trends show growing AI integration with new technologies addressing client pain points.

1. New solutions like the "Zhineng" super agent provide multi-scenario applications.

2. Client pain points: AI addresses inefficiencies with 90% R&D and 50% logistics improvements.

3. Development direction: Organization-wide AI adoption supports enterprise agent development.

Haier's case reflects industry movements, including 89 corporate agents launched annually on H-work platform.

Platforms support operational management and business needs through AI integration.

1. Latest platform features: H-work integrates AI coding (33% efficiency gain), meeting summaries, and 89 corporate agents.

2. Operations management: 262 personal agents developed by employees foster AI ecosystems.

3. Risk mitigation: Full-staff AI adoption reduces efficiency risks, as seen in 50% logistics optimization.

While no direct investment promotion is mentioned, platform functions indicate business need support.

Organization-wide AI adoption represents new industry dynamics, reshaping business models and raising new questions.

1. Industry trend: Human-AI coevolution through "Zhineng" enables systemic organizational restructuring.

2. New challenges: Balancing creative and applied AI talents, as per Sun Danfeng's dual-strategy approach.

3. Business models: Data-driven intelligent management demonstrates practical impact with 8-90% efficiency gains.

Though no policy recommendations are given, Haier's implementation of nearly 100 smart scenarios offers valuable insights.

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.

随着数字化转型进入深水区，如何让AI真正服务于每一位员工，成为企业智能化进程中的关键课题。1月23日，海尔智家在青岛举行了“2025年数字化转型工作总结暨2026年发展战略发布会”，对这一课题给出了自己的答案——通过打造超级智能体“智小能”，公司构建起一套数据驱动的智能化管理体系，实现全员全流程的全面AI化。

海尔智家副总裁、首席数字官孙丹凤在会上分享了对AI人才的前瞻思考。她认为，未来企业需要两类AI人才：一类是能够创造AI能力的技术与知识型人才；另一类则是善于运用AI工具、真正实现业务价值的人才。而借助超级智能体“智小能”，海尔智家正加速AI在企业内部的普及，甚至让每位员工都能拥有属于自己的个人智能体，伴随其共同成长。这意味着，员工既可以成为第一类创造AI的人才，也可以是第二类应用AI的人才，把这两者完美结合起来。

在实际应用中，超级智能体“智小能”已经在多个业务场景展现出显著价值。例如在研发阶段，通过AI图纸识别技术，实现信息一键提取，效率提升达90%；在采购环节，AI辅助一键比价、汇总报价并预测大宗商品行情，帮助降低成本10%；在制造方面，AI在多场景下的应用使整体排产采纳率提升8%，产品准时下线率提升12%；在物流领域，累计上线31项AI能力，园区车辆调配效率提高50%；智能化编码能力HaiCode助力编码效率提升33%；在通用办公场景，即时通讯、会议总结、智能翻译、内容创作场景AI化后，员工办公效率提升约80%……截止12月底，H-work平台年度发布企业智能体89个，员工在平台上开发个人智能体262个，还有近百个智能场景正在推动落地。

海尔智家的实践表明，全员全面AI化不仅仅是技术的简单叠加，更是组织能力和人才生态的系统性重塑。当“智小能”这样的超级智能体深度融入每位员工的日常工作中，企业便形成了一种人与AI协同进化的工作新模式。这不仅能大幅提升运营效率，也有助于在整个组织内培育AI思维与创新能力，为企业在这场智能化浪潮中持续前行提供源源不断的动力。

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。

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FAQ回顾

海尔智家超级智能体智小能是什么？

海尔智家超级智能体“智小能”是一个数据驱动的智能化管理体系，旨在实现企业全员全流程的全面AI化，让每位员工都能拥有并应用个人智能体以提升工作效率。

智小能超级智能体在哪些业务场景提升了效率？

在研发环节，AI图纸识别使信息提取效率提升90%；采购环节AI辅助降低成本10%；制造环节排产采纳率提升8%，产品准时下线率提升12%；物流车辆调配效率提高50%。

海尔智家如何通过智小能培养AI人才？

海尔智家将AI人才分为两类：创造AI能力的技术型人才和运用AI工具的业务型人才。通过智小能平台，员工可开发个人智能体，兼具创造与应用能力，实现协同成长。

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2026-01-28 09:52:15