Zenava UserDay上海站实录：4个行业判断与4个AI落地方法

Core Insights - The Zenava UserDay event held on January 15, 2026, in Shanghai gathered leading companies and industry representatives from the consumer retail sector to discuss real business challenges [1] - The event led to the identification of four core industry judgments and four methods for implementing consumer retail Agent applications, providing a clear path from judgment to action [5] Industry Judgments - Judgment 1: The focus is shifting from merely trying out Agents to making informed judgments about their deployment, emphasizing the importance of identifying valuable business scenarios over technical capabilities [6] - Judgment 2: Agents are evolving from efficiency tools to accountable business deliverers, with expectations now centered on their ability to independently complete tasks and reduce human intervention [7] - Judgment 3: The clarity of business scenarios is crucial for the successful deployment of Agents, as ambiguity can lead to failure, highlighting the need for specific business unit boundaries [8] - Judgment 4: As various models coexist, the differentiation in Agent performance increasingly relies on deep business understanding rather than just technical capabilities [9] Implementation Methods - Method 1: Companies should avoid attempting to overhaul entire customer service processes at once, as large-scale projects often lead to increased risks and difficulties in judgment [10] - Method 2: Starting with a "small but complete" business loop is recommended, focusing on clear boundaries and measurable outcomes to validate Agent capabilities [11] - Method 3: Establishing a stable, well-defined closed-loop scenario is more important than covering multiple scenarios superficially, as it builds internal confidence and replicable value [13] - Method 4: Agents should be viewed as a continuous operational capability rather than a one-time project, requiring ongoing assessment and optimization to achieve long-term value [14] Conclusion - The successful implementation of consumer retail Agents is a complex system engineering challenge that relies heavily on judgment capabilities and organizational collaboration, necessitating a professional exchange environment for discussing real issues and validating different approaches [14][15]