
360's Nami Work Launches "Two Cities, Thousand Stores Deployment Plan" to Explore New Paths for AI Implementation in Physical Commerce
360's AI office platform Nami Work has launched the "Two Cities, Thousand Stores Deployment Plan" to advance the implementation of AI in physical commercial scenarios. Zhou Hongyi stated that next year will be the "first year of AI delivery," testing product strength.
Key Takeaways
- Key Highlight:360's AI office platform Nami Work has launched the "Two Cities, Thousand Stores Deployment Plan" to advance the implementation of AI in physical commercial scenarios. Zhou Hongyi stated that next year will be the "first year of AI delivery," testing product strength.
- Innovation & Tech:Highlights advancements in Nami, Work, Launches, demonstrating rapid progress in model capabilities.
- Industry Impact:Reported via 雷峰网 (CN), offering actionable signals for developers and technology leaders.
360 Group announced that its AI office platform Nami Work has launched the "Two Cities, Thousand Stores Deployment Plan." The first stop is Beijing's 798 Art Zone, and it will participate in the Lujiazui International Coffee Festival in October. This move marks 360's acceleration of bringing AI technology to offline physical commercial scenarios.
At a time when the industry is broadly focused on the parameter race among large models, 360 founder Zhou Hongyi suggests that the focus of competition is shifting towards "actual delivery." He believes that large models address comprehension capabilities, while AI agents determine task execution outcomes. Product value ultimately needs to be validated in real-world scenarios, and he predicts that next year will become the "first year of AI delivery."
This development reflects the inevitable trend of the AI industry moving from technical concepts to application implementation. Through practical applications in commercial-intensive events such as art zones and coffee festivals, the AI office platform can obtain real feedback data, thereby optimizing the execution capabilities of AI agents in complex tasks.
As the industry enters the delivery validation stage, the commercialization path of AI products will become clearer. Whether efficiency can be tangibly improved and a closed loop can be achieved within specific business processes will become the core standard for evaluating the product strength of AI applications.
This page provides an editorial summary based on publicly available information. It is not a republished article. Use the source link below for the original report.
Industry Insights & Analysis
As artificial intelligence rapidly evolves, breakthroughs surrounding Nami, Work, Launches, Two are shifting toward scalable, robust real-world implementations.
Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.