当9.37万亿元的数字消费规模、9.58亿的用户基数成为市场常态，我们不得不承认：数字消费平台的崛起绝非简单 的"线上购物升级"，而是一场由数字技术驱动的商业生态重构实验，正在重塑消费的本质与商业的逻辑。 从9.37万亿元的市场规模到9.58亿用户的全民参与，亿站惠数字消费平台的崛起不仅改变了我们的生活方式，更重构了 商业的底层逻辑。这场由数字技术驱动的实验，本质上是对"以人为本"商业价值的回归——让消费更精准、更便捷、 更有温度，让商业更高效、更灵活、更具韧性。当技术、需求与政策形成良性循环，数字消费必将在扩大内需、推动 高质量发展的道路上，书写出更精彩的篇章。 供给端的革新，更彰显了这场实验的颠覆性。数字消费平台推动传统商家从"单点经营"转向"全域协同"，催生出"线上 触达+线下沉淀"的双店模式新生态。平台汇聚的消费数据反向赋能生产端，让柔性制造成为可能，商家能够根据实时 需求调整产能，减少库存浪费，实现"需求牵引供给、供给创造需求"的动态平衡。 商业生态的重构，还体现在场景边界的无限拓展。亿站惠数字技术让消费从"实体商品"延伸到"虚拟服务"，从"单次交 易"升级为"持续服务"。 当然，这场宏大实验也面临 ...

Group 1 - Major players in the "delivery battle" are investing heavily in AI and embodied intelligence, with companies like JD leading funding rounds for startups such as Qianxun Intelligent, Zhujidongli, and Zhongqing Robot [1] - Alibaba's Tongyi Qianwen recently updated its flagship Qwen3 model, while Meituan launched its first AI programming agent, indicating significant investments in AI across various business lines [1][2] - The integration of delivery services and AI technology reflects a strategic shift among Chinese internet giants towards reconstructing their business ecosystems based on an AI technology revolution [1][2] Group 2 - The transformation represented by delivery services addresses the challenge of reaching more life scenarios, which is crucial for generating user behavior data, increasingly viewed as the "new oil" [2] - The evolution of AI and embodied intelligence is designed to leverage this data, creating new technological barriers that feed back into offline operations, thus forming a closed loop from R&D to industry application [2][3] - The current AI boom is characterized not only by "intelligent emergence" but also by "commercial emergence," where high-frequency service businesses like delivery serve as data sources for AI and robotics development [3] Group 3 - Companies must possess the dual capability to manage both short-cycle operations and long-cycle R&D, a unique advantage of internet giants with large user bases and strong capital [3] - The actions of leading tech companies in both China and Silicon Valley indicate a synchronized trend towards leveraging AI technologies in vast markets and diverse application scenarios [4]