商务部等9部门发布关于加快推进科技兴商的意见，提出打造智能化场景，培育商业智能体新业态。意见提到，开发智能导购、智能运营、智能物流等专业智能体，推动具身智能技术在商贸领域落地，拓展家庭服务、商贸物流等应用场景。意见还提出，发展云逛街、云展示等智能消费场景，支持数字孪生等技术在消费场景中的应用。
The Ministry of Commerce and eight other departments issued opinions on accelerating tech-driven commerce, proposing to build intelligent scenarios and cultivate new commercial agent business formats. The opinions mention developing professional agents including intelligent shopping guides, intelligent operations, and intelligent logistics, promoting embodied intelligence technology deployment in commerce, and expanding application scenarios including home services and commercial logistics. The opinions also propose developing smart consumption scenarios including cloud shopping and cloud display, and supporting digital twin technology applications in consumption scenarios.
这份文件里，具身智能被明确写进了商贸领域，和智能导购、智能运营、智能物流这些具体场景并列。这个定位和前面讨论的具身智能落地路径有交集，也有区别。前面讨论过爱仕达把100台人形机器人派到全国百家门店当导购，三天试营业带动门店销售业绩平均增长39%。也讨论过云迹科技与淘宝闪购合作做公寓外卖机器人，解决骑手进不了楼、住户要下楼取的痛点。还讨论过星尘智能的零售服务机器人MART在北京、上海、广州等六座城市批量部署。这些案例都是具身智能在商贸领域的实际落地，而这份文件等于给这个方向提供了政策层面的确认。
In this document, embodied intelligence is explicitly written into the commerce field, listed alongside specific scenarios including intelligent shopping guides, intelligent operations, and intelligent logistics. This positioning intersects with and differs from the embodied intelligence deployment paths discussed earlier. Earlier we discussed Aishida assigning 100 humanoid robots to 100 stores nationwide as shopping guides, with three-day trial operation driving average store sales growth of 39%. We also discussed Yunji Technology partnering with Taobao Flash Purchase on apartment delivery robots, solving the pain point of riders unable to enter buildings and residents having to go downstairs. We also discussed Astribot's retail service robot MART batch-deployed in six cities including Beijing, Shanghai, and Guangzhou. These cases are actual embodied intelligence deployments in commerce, and this document provides policy-level confirmation for this direction.
家庭服务这个应用场景也值得单独看。前面讨论过优必选U1系列聚焦家庭陪伴，面部可呈现30余种微表情，也讨论过欧拉万象从家庭场景切入，目标是让机器人在真实生活中持续学习，还讨论过双派机器人的适老化智能出行设备，产品落地覆盖全球近30个国家和地区。这些公司做的都是家庭服务方向的不同细分，有的做陪伴，有的做家政，有的做助行。商务部这份文件把家庭服务列为具身智能拓展的应用场景之一，意味着这个方向会获得更多政策支持。
The home services application scenario also deserves separate attention. Earlier we discussed UBTECH's U1 series focusing on home companionship with faces displaying over 30 micro-expressions, Ola Universe entering from home scenarios aiming to let robots continuously learn in real life, and Shuangpai Robotics' elderly-oriented intelligent mobility devices deployed in nearly 30 countries and regions. These companies work in different subdivisions of home services—some do companionship, some housekeeping, some walking assistance. The Ministry of Commerce listing home services as one of the application scenarios for embodied intelligence expansion means this direction will receive more policy support.
数字孪生和云逛街、云展示这些提法，和前面讨论的仿真测试平台、虚拟环境训练是同一个技术脉络的不同应用。前面讨论过北京人形数据与训练基地用仿真数据进行模型训练，也讨论过跨维智能的UNITAS用三维物理空间作为统一表示，还讨论过西门子开放五家工厂给具身智能公司做真实场景训练。数字孪生在消费场景中的应用，逻辑是把线下门店、商品陈列、消费者行为在虚拟空间里重建，让智能体在虚拟环境里学习、测试、优化，再应用到真实场景。这和训练场用仿真环境训练机器人是同一套方法论，只是应用对象从机器人变成了商业场景。
Digital twins and cloud shopping, cloud display formulations share the same technical thread as the previously discussed simulation testing platforms and virtual environment training, just different applications. Earlier we discussed Beijing Humanoid Data and Training Base using simulation data for model training, DexForce's UNITAS using 3D physical space as unified representation, and Siemens opening five factories for embodied intelligence companies to train in real scenarios. Digital twin applications in consumption scenarios logically reconstruct offline stores, product displays, and consumer behavior in virtual space, letting agents learn, test, and optimize in virtual environments before applying to real scenarios. This is the same methodology as training grounds using simulation environments to train robots, just with the application object changed from robots to commercial scenarios.