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消费平台“什么值得买”:“618”期间通过AI购物智能体达成的订单转化率同比提升162.6%
Xin Hua Cai Jing· 2025-06-25 14:47
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]
罗永浩数字人开播,从选品、试色到主播,AI重塑消费全流程
Nan Fang Du Shi Bao· 2025-06-17 04:10
Group 1: Industry Trends - The "2025 High-Quality Consumption Brand TOP 100" initiative aims to boost economic development and consumer confidence by focusing on nine key sectors, including beauty economy, sports and outdoor, food and health, smart consumer electronics, pet economy, experience economy, interest consumption, cross-border e-commerce, and consumer technology [1] - AI technology is reshaping the entire consumer experience and becoming a new tool for cost reduction and efficiency improvement, as evidenced by the success of AI-driven live streaming events [2][4] Group 2: AI in E-commerce - The first live stream featuring a digital avatar of influencer Luo Yonghao attracted over 13 million viewers and generated a GMV of over 55 million yuan, setting a new record for digital avatar live streaming [4][5] - AI tools are now enabling consumers to receive one-click shopping suggestions across multiple platforms, significantly enhancing the e-commerce shopping experience [2][9] - AI-driven virtual fitting and makeup applications are being adopted by platforms like Taobao, allowing users to upload their photos and generate virtual representations for trying on clothes and makeup [5][7] Group 3: AI Shopping Assistants - Major e-commerce platforms have launched AI shopping assistants that can provide product comparisons, gift suggestions, and summarize product reviews, enhancing the shopping experience [10][12] - OpenAI's ChatGPT Search has been upgraded to include shopping recommendations, showcasing a variety of products based on structured data from third-party websites [9] - AI shopping assistants are designed to improve transaction rates on platforms like Taobao and JD.com, although there are concerns about their effectiveness in understanding brand nuances [12] Group 4: AI Customer Service - AI customer service has been in use for over a decade, with platforms like JD.com developing sophisticated systems that can handle a high volume of inquiries, particularly related to government subsidies [13] - Despite the advancements, consumer feedback on AI customer service remains mixed, with many users preferring human interaction for complex issues [14] - A significant portion of consumers believe that a combination of AI and human customer service is the most satisfactory approach, highlighting the need for a balanced service model [14]
面对多样优惠策略,AI Agent能缓解618的决策焦虑吗?
Huan Qiu Wang· 2025-06-12 09:51
【环球网科技报道 记者 李文瑶】深夜十一点半,小林瘫在沙发上,手指在多个电商APP间疯狂切换。手机屏幕上 堆叠着"平台满减""跨店满减""会员专属券"等标签,他试图找出购买一双跑鞋的最优组合,在综合考量不同平台 的优惠政策和组合后,他最终选择结算金额最低的平台进行了下单。 而AI Agent正迅速填补这一空白。无论是独立APP如"张大妈AI购物管家",还是内嵌于手机助手、智能座舱的购 物模块,Agent通过理解语义、调用实时数据,直接输出决策建议。当用户问"送程序员男友什么礼物",AI瞬间调 取最新数码趋势、价格曲线、全网评测,生成一份带购买链接的礼品方案——整个过程或许直接在10秒内完成。 数据基建: AI 消费搜索的隐形战场 然而AI消费搜索的落地远非调用大模型这么简单。核心难点在于消费数据的特殊属性:强实时性与高事实性要 求。 小林的体验反映出当下消费者在大型促销活动中,需要处理来自多平台、多路径的海量优惠信息。 "今年618期间,各大电商平台加起来共有上百种优惠策略和组合。"值得买科技CTO王云峰在接受记者采访时透 露,从传统的满减、立减,到特定场景的直播间专享券、互动玩法的奖励,以及会员身份带来的专 ...
温和、务实的「炸裂派AI」
Sou Hu Cai Jing· 2025-06-09 23:38
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 ...
提升消费者决策效率,购物智能体“张大妈”亮相
Bei Jing Ri Bao Ke Hu Duan· 2025-05-29 09:56
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 ...
值得买科技举办AI进展分享会
Shang Hai Zheng Quan Bao· 2025-05-28 13:19
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]
值得买科技CTO王云峰:公司已实现从AI技术底层、产品形态到生态共建的全面布局
Xin Hua Cai Jing· 2025-05-28 13:00
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]