文｜品牌议题 今年5月，"什么值得买"进行了一轮产品升级，发布GEN2版本，主要依托AI技术，打造基于兴趣的内容 推荐与服务体系。结合其全新的品牌主张"我们的兴趣消费指南"，可以看出"什么值得买"的平台定位， 也正从过去的"导购工具"逐步向"AI驱动的兴趣消费平台"转变。 这个低调的电商导购平台，因拼音首字母SMZDM被网友戏谑地称为"色魔张大妈"或"张大妈"。早期积 累的一批老用户粘性极高，他们用它来比价、测评，分享优惠信息，可以说承载着一种古典互联网的实 用主义情怀。 而随着平台商业化和规模扩大，广告增多，内容质量也更加良莠不齐，而AI内容的涌入，一方面确实 极大地提升了效率，但也会让人重新思考：大家看"什么值得买"，究竟看的是什么？ 01、发家模式：以"值"为核心的导购社区 "什么值得买"始于2010年隋国栋的同名博客。 当时，电商行业的格局初步形成，并从"能买"向"买得好"转型，消费者对可信赖的导购内容，以及线上 比价的需求也随之上升。 创始人隋国栋通过博客文章的形式，推荐各种电子产品，包括最新的产品信息、优惠渠道、测评等等， 吸引了一批同样热衷于讨论数码产品的种子用户。2011年10月，"什么值得买 ...

近日，值得买科技与南开大学商学院联合研究成果《AI总结用户评论生成摘要对用户决策行为的影响》（The Impact of AI-Generated Product Summaries on the Speed and Efficiency of E-commerce Consumer Decision-Making）成功入选电子商务领域顶级会议SCECR 2025。此前，该研究 成果还入选信息技术管理领域顶级会议HICSS 2025（即夏威夷国际系统科学大会）。这是继与人大高瓴人工智能学院多项AI联合研究成果发 布之后，值得买科技与学术界的又一次创新探索。 该成果研究了AI生成摘要如何影响电商平台上消费者的决策过程，通过分析"什么值得买"平台的消费相关数据，并应用三重差分法（DDD） 来评估AI生成摘要对消费者行为的影响。研究结果表明，AI生成摘要提升了用户决策效率，使得用户因犹豫而保存、待定的行为减少了 2.8%，进一步缩短决策时间，用户购买更果断。 南开大学商学院副院长李凯介绍，现有的AIGC研究主要集中在其在个性化推荐、客户服务、产品描述和内容生成等方面的应用，强调其对消 费者参与度和满意度的积极影响， ...

Core Insights - The consumption platform "What Worth Buying" has reported a significant increase in consumer decision-making efficiency driven by AI, leading to growth in consumption during the "618" shopping festival [2] - The company launched multiple AI products, including the AI engine "Fire Eye" AIUC engine, user-facing AI products "What Worth Buying" GEN2, shopping agent "Zhang Dama," and the foundational AI infrastructure product "Haina" MCP Server [2] - The AIUC engine has enhanced product selling points, risk warnings, and purchase suggestions, with a 15-fold increase in AIUC label recognition and a reduction in content review time to one-eighth of last year's duration [2] Company Developments - The "Haina" MCP Server has gained industry attention for its integration of data and content advantages in the consumer sector, offering unique value in richness, real-time capabilities, and neutrality [3] - The "Haina" MCP Server has been made available to various partners, including large models and intelligent terminal applications, facilitating extensive adaptation for AI applications [3] - In June, the overall content and product output from the "Haina" MCP Server exceeded 8 million, marking a nearly 80% increase compared to May [3]

Core Insights - The company is enhancing its AI infrastructure with the "Haina" MCP Server, which has released two new interfaces and expanded capabilities [1] - The "What Worth Buying" GEN2 has shown significant improvements in user experience and consumer decision-making efficiency, leading to increased sales [2] Group 1: AI Infrastructure Development - The "Haina" MCP Server has introduced two major interfaces: Content Search Pro and Image Search capabilities, with the relevance of search results improving from 90% to 95% [1] - The Image Search API now supports 20 million product images across 16 major categories and 1,700 subcategories, facilitating more precise product searches for users [1] - In June, the overall content and product output from the "Haina" MCP Server exceeded 8 million, marking a nearly 80% increase compared to May [1] Group 2: Performance Metrics of GEN2 - The "What Worth Buying" GEN2 has enhanced product functionality and user experience, significantly improving consumer decision-making efficiency [2] - During the "6·18" shopping festival, the average GMV per user on the GEN2 platform increased by 15.1% year-on-year [2] - The order conversion rate achieved through the platform's AI shopping assistant rose by 162.6% year-on-year [2]

新华财经北京6月19日电（记者丁雅雯）值得买科技集团19日发布的数据显示，在国补和大促的双重推 动下，公司核心业务"什么值得买" 助力42个品牌达成超千万GMV（商品交易总额），内容发布量同比 增长17.28%。今年618大促自5月13日开启，是为期最长的一届618活动，相比以往强爆发、高峰值的特 点，电商平台在今年618整体更注重长线运营、削峰填谷，既方便消费者灵活安排购物时间，也缓解了 集中购物的压力。从消费走势来看，品质消费与兴趣消费成为重要驱动要素。 此外，此次618周期内，消费新顶流LABUBU热度持续攀升，"什么值得买"平台内泡泡玛特GMV同比增 长53.60%。张宇昂介绍，作为潮玩代表，LABUBU在平台内有相应兴趣受众群体，并保持稳定的讨论 热度。但伴随近期品牌海外爆火等新闻陆续爆发，吸引了大量普通用户关注，尤其6月10日"初代玩偶 108万拍卖"新闻爆发后，"什么值得买"平台内LABUBU热度同比增长高达231.91%，充分证明了情绪消 费的爆发力。 618大促不仅是消费者采购生活所需、兴趣所致的节点，更是品牌、平台方深化用户连接、抢占市场高 地并考验综合能力的重要竞技场。作为以服务连接供需 ...

文 ｜ 阑夕 上个月月底，Veo 3的发布再次让海外社交媒体炸了锅，大量AI视频如病毒般迅速铺满了各大平台，这次受伤的不只有老面孔Ins，连TikTok也未能幸免。 这中间还不乏有反串乐子人的出现，国外有支独立乐队发了一段演奏视频称「百分百由Google Veo 3生成」，结果最后发现这段视频其实来自多年前乐队 的老歌，辨真伪游戏的难度飙升，莫说是不熟悉AI的人，恐怕连从业者想要分辨出视频来源都得费一番功夫。 包括与Veo 3同时期上线、号称「最聪明大模型」的Claude 4，在各种任务上都达到了SOTA（当前最佳）水平，只能说从视觉到能力，AI应用炸裂型驱动 的现状还远未到结束的时候。 与上述热闹的场面不同，国内互联网对炸裂这个词汇的敏感阈值在肉眼可见地下降，比如快手可灵的用量其实一直领先于Veo 3，但也不见得那些猎奇AI 视频在中国短视频平台上有多么强的病毒式传播，所有类似的内容也都被约定俗成般规范到了那一小片试验田里，不是没有，但也到不了草木皆兵的程 度。 与此同时，AI在垂类领域应用上的进程在持续加速，越来越多的消费级产品出现，这番技术迭代的光景，与移动互联网的发展规律几乎是如出一辙的， 也就是中国 ...

转自：北京日报客户端 新消费时代，面对形形色色的信息和消费选择，不少消费者陷入信息过载的陷阱，精准、高效地提升用 户决策效率成为消费科技的发展方向。5月28日，值得买科技发布了"火眼"AIUC引擎（AIUC即AI Understand Content，人工智能内容理解技术）、"什么值得买"GEN2和购物智能体——AI购物管家"张大 妈"。 "当前用户的消费习惯正在快速变化，用户对于搜索产品的期待，从'找信息'过渡成了'解决问题'。"平 台负责人说。 据了解，通过新一代推理引擎，AI购物管家"张大妈"能将意图解析与任务执行相结合，实现购物流程一 站式管理，提升用户决策效率与消费体验。它可以根据人们的语音输入消费诉求并搜寻内容、给出结 果，未来还将追加下单、订票等一系列产品功能。目前，张大妈安卓尝鲜版已经可以扫码下载。 在发布购物智能体的同时，"火眼"AIUC引擎也同步亮相。值得买科技CTO王云峰介绍，相比AIGC（人 工智能内容生成）或Agent（智能体），AIUC并非行业最关注的概念，但在消费领域中极为重要，它能 充分利用目前互联网上的海量消费内容，运用理解、归纳、总结的能力，提炼出对消费者更有决策价值 的关 ...

兴趣消费浪潮： 消费决策如何从 "需求" 滑向 "热爱"？ 兴趣消费，蔚然成风 越来越多的消费者，开始愿意为"兴趣"买单。 泡泡玛特的股价两年半时间内飙涨20倍，支撑估值逻辑变更的是，MOLLY和Labubu们激发出的、高达49%的惊人复购率；全国大型演唱会票房去年接近400 亿元，同比增长66%，追星热情驱动着演唱会经济高歌猛进；与虚拟偶像谈一场恋爱在女性游戏玩家中快速蔓延，女性向游戏这一看似细分的赛道，规模已 逼近千亿。 只要足够吸引人，再小的兴趣也能在中国孕育出一个体量可观的市场。而种种变化的背后，折射出的是人们对"消费"的重新定义。 过去的消费是"柴米油盐酱醋茶"，重在满足基本生活需求；如今的消费开始偏向"琴棋书画诗酒花"，为了迎合人们的兴趣爱好。 显然，消费正从"必需"走向"悦己"。 《2024中国青年消费趋势报告》的数据指出，已有37%的消费者明确表示他们的消费出于个人兴趣，这与以往有了很大的变化。更值得注意的是代际间的差 异：消费者越年轻，兴趣驱动消费的情况也就越明显，年轻人的消费观正在重塑未来市场的走向。 置身其中，企业需要适应性调整。 譬如，它们需要从"入眼"到"入心"。被消费者看到只是征途 ...

Core Insights - The company held an AI progress sharing conference to showcase the results and advancements of its "comprehensive AI strategy" over the past year [1] - Key highlights included the introduction of the "Fire Eye" AIUC engine, the upgraded "What Worth Buying" GEN2, the shopping assistant "Zhang Dama," and the foundational "Haina" MCP Server [1] Group 1 - The AIUC engine leverages extensive internet content understanding to drive a new paradigm of intelligent decision-making [1] - The "What Worth Buying" GEN2 is AI-driven and focuses on interest-based consumer content, aiming to create a trusted guide for users [1] - The AI shopping assistant "Zhang Dama" facilitates a one-stop management of the shopping process, enhancing user decision-making efficiency and consumer experience [1] Group 2 - The "Haina" MCP Server is a standardized consumer data service platform based on the Model Context Protocol (MCP), which connects large models directly to data sources [1] - The CTO highlighted that the MCP protocol enhances the efficiency of AI ecosystems by improving the connection between agents and tools, allowing for focused optimization in various domains [2] - The company has launched the Haina MCP Server on its official website and integrated it into platforms like Alibaba Cloud, utilizing a vast database of 12 billion consumer content entries and 1 billion product entries to support AI applications [2]

Core Insights - Worth Buying Technology Group has launched multiple AI products, including the "Fire Eye" AIUC engine, two user-facing AI products ("What is Worth Buying" GEN2 and shopping agent "Zhang Dama"), and an AI infrastructure product ("Haina" MCP Server) [2] - The AIUC engine is designed to deeply understand and extract value from various content types, enhancing content production and business decision-making efficiency [2] - The company emphasizes the importance of AIUC in the consumer sector, stating it has improved content quality and process efficiency across its diverse business operations [2][3] Group 1 - The "Fire Eye" product focuses on helping consumers discern the authenticity of content, filter quality information, summarize genuine opinions, and enhance decision-making efficiency in consumption [3] - Worth Buying Technology Group is committed to a comprehensive AI strategy, prioritizing AI application research to transform cutting-edge AI technology into practical productivity [3] - The company aims to explore more possibilities of "AI + consumption" and actively share and exchange AI capabilities to contribute to the AI era [3]