联合解决方案实现了从云计算基础设施、大模型到AI应用层的端到端能力，为零售电商企业提供高效、可靠、易用的一站式AI应用支持。 凭借在企业级智能体领域的持续创新，BetterYeah AI荣获阿里云"生态产品创新奖"，并在弹性计算展区作为重点合作伙伴亮相。 在大会"中小企业AI应用规模化发展论坛"中，BetterYeah AI获阿里云重点推荐，结合真实案例与业务效果，系统展示AI智能体在复杂企业场景中的高价值转 化能力。 在2025云栖大会上，国内企业级AI智能体领先企业BetterYeah AI，与阿里云联合推出面向零售电商行业的AI智能体解决方案。方案深度融合通义千问全尺寸 模型、BetterYeah AI的产品技术积累及行业实践经验，聚焦零售电商营销、销售及客服等核心业务环节，全面展示AI从模型到业务场景的全链路落地能力。 作为领先的企业级智能体开发平台，BetterYeah AI已服务近10万家企业团队，月度AI任务调用量保持高速增长。本次与阿里云联合发布零售电商行业AI方 案，标志着双方合作持续深化，共同致力于以智能体技术驱动企业生产力变革，加速业务流程的全面AI化转型。 在零售与电商领域，Bette ...

联合解决方案实现了从云计算基础设施、大模型到AI应用层的端到端能力，为零售电商企业提供高效、可靠、易用的一站式AI应用支持。 凭借在企业级智能体领域的持续创新，BetterYeah AI荣获阿里云"生态产品创新奖"，并在弹性计算展区作为重点合作伙伴亮相。 在大会 "中小企业AI应用规模化发展论坛 "中，BetterYeah AI获阿里云重点推荐，结合 真实案例与业务效果 ，系统展示AI智能体在复杂企业场景中的高价值 转化能力。 目前，BetterYeah AI Agent平台已正式上架阿里云云市场，为企业提供更加便捷的AI Agent开发产品及服务。未来，双方还将拓展更多垂直行业场景，深化 软硬件一体化合作，共同提升生态协同价值。 在零售与电商领域，BetterYeah AI已拥有丰富落地案例。例如，百丽时尚集团IT开发团队在BetterYeah AI Agent开发平台上，陆续实现800+业务子节点的AI 应用上线，包括：覆盖货品业务流250+子节点的"货品AI助理"，覆盖终端门店5类角色350+业务子节点的"店铺AI助理"等，极大提升了信息连接效率和流程 自动化。 本次云栖大会，BetterYeah AI ...

Core Insights - The essence of enterprise-level AI is the role it plays in business processes, with a growing consensus that AI should be integrated into specific business functions [2][6][20] - BetterYeah is emerging as a leader in the enterprise Agent space, having recently secured significant funding and demonstrating a robust platform that focuses on process management and role definition rather than just technical specifications [5][12][15] Group 1: Market Trends and Challenges - The enterprise AI Agent market in China is rapidly developing, with projections estimating a market size of over $27 billion by 2028 [6] - Despite the enthusiasm for deploying AI Agents, the success rate for these projects is below 30%, highlighting significant challenges in integration and effectiveness [7][8] - The failure of many Agent deployments is attributed to a lack of understanding of enterprise-specific needs and the complexity of business processes [9][10] Group 2: BetterYeah's Unique Position - BetterYeah's platform is designed to address the specific needs of enterprises, offering features that allow for quick setup and seamless integration with existing business systems [15][17] - The platform has seen a 400-fold increase in AI task calls since its launch, serving over 100,000 enterprise teams, indicating strong market acceptance [12][18] - BetterYeah's approach includes a focus on real business roles and processes, differentiating it from other platforms that primarily target consumer applications [10][18] Group 3: Future of AI in Enterprises - The evolution of AI from tools to digital employees and teams is reshaping productivity in organizations, with BetterYeah at the forefront of this transformation [20][23] - Companies like Belle Group have successfully implemented over 800 AI applications using BetterYeah's platform, demonstrating the practical impact of enterprise-level AI [22] - The shift towards a collaborative model of AI, where multiple Agents work together, is expected to enhance operational efficiency and redefine roles within organizations [21][24]

Core Insights - BetterYeah AI showcased its next-generation intelligent agent "Nova Agent" during the 2025 World Artificial Intelligence Conference, currently in internal testing and set for official release in Q3 of this year [1] - "Nova Agent" is built on an innovative learning engine and containerized intelligent agent architecture, focusing on behavior-driven task automation and multi-agent collaboration [1] - The agent demonstrates strong autonomy and teamwork capabilities, including complex task planning, custom knowledge base access, tool invocation, data retrieval, and visualization [1] Company Overview - BetterYeah AI aims to become a core intelligent platform and product partner in the AI transformation process for enterprises, integrating AI into business workflows as a reliable productivity unit [1] - The company emphasizes the importance of AI technology in accelerating industrial application and aims to support enterprises in their AI adoption journey [1]