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谷歌在澳推出AI代理购物模式 多家本土电商平台接入

王昱 2026-06-29 11:19
王昱 2026/06/29 11:19

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本文核心信息是谷歌已经在澳大利亚推出全新AI代理购物模式,普通消费者可以体验到更便捷的AI购物服务,相关干货如下:

1. 核心使用体验升级:消费者无需跳转零售商网站,直接在谷歌搜索、AI Mode及Gemini应用内就能完成搜索、选品到购买的全流程,购物路径更短。

2. 通用购物车功能实用:依托Gemini大模型,消费者可以跨零售商跨谷歌生态加购商品,系统会自动找优惠、分析价格历史、补货提醒,还能识别支付优惠、会员积分,自动推荐最划算的支付方案,不用消费者自行查询比对。

3. 落地进展清晰:目前澳大利亚是亚太首个上线该功能的市场,已经有多家本土大型零售商接入试点,未来还会扩展到多个国家以及酒店预订、餐饮配送等更多服务场景。

谷歌推出的AI代理购物新模式,为品牌商带来了新的渠道机会和营销升级方向,相关干货如下:

1. 新增流量交易渠道:品牌商可以接入谷歌UCP通用商业协议,直接在谷歌的流量生态完成交易,借助谷歌的用户信任优势获客,谷歌调研显示澳大利亚消费者对谷歌作为AI购物代理平台的信任度高于其他所有平台,流量转化潜力更大。

2. 营销效率获得提升:配合UCP落地,谷歌同步开放了AI Max for Search工具,可以自动根据用户搜索生成优化广告文案,降低品牌营销内容的制作成本,更好匹配新购物模式的需求。

3. 提前布局新机会:该模式未来会扩展到酒店、本地餐饮配送等更多行业场景,品牌商可以提前申请试点接入,抢先占据新渠道的流量红利,目前已有多家头部零售商率先参与测试。

谷歌推出的AI代理购物新模式,给布局海外市场的卖家带来了新的增长机会和方向,相关干货整理如下:

1. 明确的市场机会提示:目前澳大利亚是亚太首个上线该模式的市场,已经开放零售商试点接入,谷歌计划在未来数月将该模式扩展到加拿大、英国,还会进入美国的YouTube平台,后续覆盖酒店预订、本地餐饮配送等更多场景,有意拓展海外市场的卖家可以提前对接布局。

2. 模式对卖家的利好:接入该模式后,卖家可以借助谷歌AI生态的流量信任优势,缩短消费者购物路径,减少跳转带来的用户流失,提升转化效率,谷歌还配套提供AI自动优化广告文案的工具,降低卖家的营销运营成本。

3. 可参考的实践经验:目前已经有Kogan Group、THE ICONIC等多家头部零售商参与测试,卖家可以参考头部玩家的合作对接模式,提前准备符合要求的商品信息,对接合作资源抓住新渠道机会。

谷歌推出的AI代理购物新模式,给工厂带来了新的商业机会和数字化转型启示,相关干货整理如下:

1. 带来新的商业合作机会:接入谷歌AI购物新模式的零售商,对商品的信息标准化、数字化展示有更高要求,工厂如果能够提前完成商品信息的标准化建设,适配新渠道的展示要求,就能获得更多零售商的订单合作机会,尤其是面向澳洲等海外市场出口的工厂优势更明显。

2. 推动产品研发设计优化:AI代理购物模式可以更快沉淀消费者的搜索、购买需求数据,更快传递给供给端,工厂可以借助这种新的需求反馈链路,更快把握消费端的喜好变化,针对性优化产品生产和设计,匹配市场需求,降低库存风险。

3. 布局新场景的增长机会:未来该模式会扩展到酒店预订、本地餐饮配送等服务场景,相关配套产品的供应链工厂,可以提前跟进新业态的产品需求,调整生产方向抓住新的增长增量。

谷歌落地AI代理购物新模式,预示着电商服务行业的新发展趋势,也给服务商带来了新的业务机会,相关干货整理如下:

1. 明确行业发展新趋势:AI驱动的代理式全闭环购物已经从概念进入实际落地阶段,消费者和品牌零售商都对AI赋能购物体验产生了真实需求,整个电商行业正在向AI原生的购物生态演进,新的产业分工已经开始出现。

2. 清晰的客户痛点方向:品牌零售商接入谷歌新AI购物模式,需要完成商品信息标准化整理、系统对接、营销内容适配改造等多项工作,很多中小商家没有能力自行完成,这些都是服务商可以切入解决的客户痛点。

3. 新技术业务布局方向:该模式目前基于Gemini大模型技术落地,依托谷歌生态的各类能力运行,服务商可以提前开发相关的对接适配能力,为客户提供UCP协议接入、运营优化、营销内容制作等配套解决方案,抢占新的业务市场。

谷歌推出AI代理购物新模式,反映了商家和消费者对电商平台的新需求,也给平台商的发展带来了参考方向,相关干货整理如下:

1. 明确市场对平台的新需求:当前消费者希望缩短购物路径,能够在日常常用的流量场景直接完成交易,不愿意多次跳转;商家也希望借助大流量平台的信任和AI能力提升转化,减少跳转带来的用户流失,这就是平台未来需要满足的核心需求方向。

2. 可参考的行业最新做法:谷歌通过统一的UCP协议接入多家零售商,打造跨渠道通用购物车,依托大模型为消费者提供智能优惠推荐、补货提醒等增值服务,还配套推出AI自动生成优化广告文案的工具服务商家,这套落地路径非常值得平台参考。

3. 风向规避提示:AI代理式购物是新的发展方向,平台可以提前布局相关技术和生态建设,同时可以参考谷歌先试点再逐步扩展到新市场新场景的节奏,避免技术不成熟、市场接受度低带来的运营风险。

本文披露的谷歌在澳大利亚落地AI代理购物模式的信息,为电商产业研究提供了新的样本和方向,相关干货整理如下:

1. 清晰的产业新动向:代理式购物商业模式已经进入实质落地阶段,谷歌推出的UCP统一商业协议,打造了从搜索到交易的全链路闭环,用户无需跳转第三方零售商网站,这是对传统搜索电商、货架电商模式的重要革新。

2. 新商业模式的清晰特征:谷歌这套AI代理购物模式,依托Gemini大模型打造跨全生态的通用购物车,整合了谷歌搜索、YouTube、邮箱、支付等全生态能力,既为消费者提供全链路智能购物服务,也为商家提供流量和营销赋能,是典型的AI原生电商商业模式。

3. 明确的后续研究方向:该模式目前率先在澳大利亚落地试点,后续会逐步扩展到全球多个国家以及酒店、餐饮等不同行业,研究者可以后续跟踪该模式对本土电商平台、传统零售商的影响,研究不同市场的适配情况,总结AI电商新模式的发展规律和影响。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

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Quick Summary

This article covers Google's newly launched AI-powered agentic shopping experience, which is now available in Australia, bringing more convenient AI-powered shopping services to general consumers. Key takeaways are as follows:

1. Upgraded core user experience: Consumers can complete the entire shopping journey — from product search and selection to checkout — directly within Google Search, AI Mode and the Gemini app, without redirecting to third-party retailer websites, resulting in a much shorter purchase path.

2. Practical universal cart feature: Powered by the Gemini large language model, this function allows consumers to add products from multiple retailers across Google's ecosystem to a single cart. The system automatically finds available discounts, analyzes price history, sends restock alerts, identifies payment promotions and reward points, and recommends the most cost-effective payment option, eliminating the need for consumers to research and compare on their own.

3. Clear rollout progress: Australia is the first market in Asia-Pacific to launch this feature, with multiple large local retailers already participating in the pilot. The service will be expanded to more countries and extended to additional use cases including hotel booking and food delivery in the future.

Google's new AI agentic shopping model opens up new channel opportunities and directions for marketing upgrades for brands. Key insights are as follows:

1. A new channel for traffic and transactions: Brands can access this ecosystem via Google's Universal Commerce Protocol (UCP) to complete transactions directly within Google's traffic ecosystem, and acquire new customers by leveraging Google's strong user trust. Google's own research shows Australian consumers trust Google as an AI shopping agent more than any other platform, indicating greater potential for traffic conversion.

2. Improved marketing efficiency: Alongside the UCP rollout, Google has launched AI Max for Search, a tool that automatically generates optimized ad copy based on user search intent. This reduces brands' content production costs and better aligns with the requirements of the new shopping model.

3. Get a head start on new opportunities: The model will expand into more sectors including hospitality and local food delivery. Brands can apply early for pilot access to capture first-mover advantage in the new channel, with multiple leading retailers already participating in testing.

Google's new AI agentic shopping model brings new growth opportunities and strategic directions for sellers targeting overseas markets. Key takeaways are as follows:

1. Clear market opportunity: Australia is the first Asia-Pacific market to launch the model, which is currently open to pilot participation from retailers. Google plans to expand the service to Canada, the UK, and YouTube in the U.S. over the coming months, before adding more use cases including hotel booking and local food delivery. Sellers looking to expand overseas can prepare and access the opportunity early.

2. Core benefits for sellers: After onboarding, sellers can leverage the user trust of Google's AI ecosystem, shorten the consumer shopping path, reduce user churn caused by multiple redirects, and improve conversion efficiency. Google also provides AI-powered tools that automatically optimize ad copy, lowering sellers' marketing and operational costs.

3. Actionable reference from early adopters: Leading retailers including Kogan Group and THE ICONIC are already participating in testing. Sellers can refer to the partnership models of these early players, prepare product information that meets Google's requirements in advance, and connect with relevant partners to capitalize on the new channel opportunity.

Google's new AI agentic shopping model brings new business opportunities and insights for digital transformation to manufacturers. Key insights are as follows:

1. New business partnership opportunities: Retailers that access Google's AI shopping model have higher requirements for standardized product information and digital display. Manufacturers that complete the standardization of product information early and adapt to the display requirements of the new channel will gain more order cooperation opportunities from retailers, especially for export-focused factories targeting Australia and other overseas markets.

2. Drives optimized product R&D and design: The agentic AI shopping model aggregates consumer search and purchase demand data far faster, and transmits this information to the supply side more quickly. Manufacturers can leverage this new demand feedback loop to grasp shifting consumer preferences faster, optimize product design and production to match market demand, and reduce inventory risk.

3. Capture growth opportunities in new scenarios: The model will eventually expand into service scenarios such as hotel booking and local food delivery. Supply-side manufacturers of related supporting products can follow the new product demand brought by this emerging business, and adjust production directions to capture new incremental growth.

Google's launch of AI agentic shopping signals a new development trend for the e-commerce service industry, and opens up new business opportunities for service providers. Key insights are as follows:

1. A clear new industry trend: AI-powered end-to-end agentic shopping has moved from concept to real-world deployment. Both consumers and brand retailers have genuine demand for AI-enhanced shopping experiences, and the entire e-commerce industry is evolving toward an AI-native shopping ecosystem, with new industry divisions already emerging.

2. Clear customer pain points to address: To access Google's new AI shopping model, brand retailers need to standardize product information, complete system integration, adapt marketing content, and complete other related work. Most small and medium-sized businesses do not have the capacity to complete this work independently, creating a clear market gap for service providers.

3. Directions for new technology-focused business development: This model is currently built on Google's Gemini large language model and runs on Google's ecosystem capabilities. Service providers can develop relevant integration and adaptation capabilities early, and offer supporting solutions including UCP onboarding, operational optimization, and marketing content production to capture new market share.

Google's launch of AI agentic shopping reflects shifting demand from both merchants and consumers for e-commerce platforms, and provides a key reference for platform development. Key insights are as follows:

1. Clear new market demand for platforms: Consumers now want to shorten shopping paths and complete purchases directly in the high-traffic apps they use daily, rather than going through multiple redirects. Merchants also want to leverage the trust and AI capabilities of large traffic platforms to improve conversion and reduce user churn caused by redirects. This is the core demand that platforms need to meet going forward.

2. A referenceable industry blueprint: Google onboards multiple retailers through the unified UCP, builds a cross-ecosystem universal shopping cart, uses large model technology to provide consumers with value-added services including smart discount recommendations and restock alerts, and supports merchants with an AI tool that automatically generates optimized ad copy. This go-to-market path is highly valuable for platforms to reference.

3. Guidance to avoid risk: AI agentic shopping is a clear new development direction, and platforms can lay out relevant technology and ecosystem infrastructure early. At the same time, platforms can follow Google's approach of piloting first before expanding gradually to new markets and use cases, to avoid operational risks brought by immature technology and low market acceptance.

The information about Google's AI agentic shopping rollout in Australia covered in this article provides new samples and research directions for e-commerce industry research. Key insights are as follows:

1. A clear new industry development: The agentic shopping business model has entered substantive real-world deployment. Google's UCP unified commerce protocol enables an end-to-end closed loop from search to transaction that eliminates the need to redirect to third-party retailer websites, representing a major innovation compared to traditional search e-commerce and marketplace e-commerce models.

2. Clear characteristics of the new business model: Google's AI agentic shopping model builds a cross-ecosystem universal shopping cart powered by the Gemini large language model, integrating capabilities across Google Search, YouTube, Gmail, payments and other Google services. It delivers end-to-end smart shopping services for consumers while providing traffic and marketing enablement for merchants, making it a quintessential AI-native e-commerce business model.

3. Clear directions for future research: The model is currently piloted first in Australia, and will gradually expand to multiple countries globally and across different sectors including hospitality and food service. Researchers can track the model's impact on local e-commerce platforms and traditional retailers, study its adaptation across different markets, and summarize development patterns and impacts of new AI-powered e-commerce models.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】6月28日消息,日前,谷歌在澳大利亚正式推出其通用商业协议(Universal Commerce Protocol,下文简称UCP),标志着其代理式商业模式进入新的落地阶段。

通过这一协议,消费者可直接在谷歌搜索、AI Mode及Gemini应用内完成单件商品的购买,实现从搜索到交易的完整闭环,无需跳转至零售商网站。澳大利亚由此成为亚太地区首个上线该协议的市场。

Kogan Group和THE ICONIC是首批参与测试该功能的零售商,同步加入试点的还包括Adore Beauty、Bunnings和Petbarn。这一发布在悉尼举行的Google Marketing Live大会上正式对外宣布,当天超过800名广告主、营销人员及行业代表在Hordern Pavilion会场见证了该项功能的亮相。

Kogan首席营销官Karl Winther在评论这一合作时表示,谷歌AI Mode购物功能使消费者能够在一次对话中完成从商品研究到决策再到购买的全过程,公司乐于与谷歌合作,将这一能力带到消费者已熟悉并正在使用的平台上。

谷歌澳大利亚及新西兰董事总经理Mel Silva则引用谷歌在当地的调研数据指出,澳大利亚消费者对谷歌作为AI购物代理平台的信任度高于其他任何平台。

而且,此次发布恰逢谷歌宣布AI Max for Search正式在澳大利亚和新西兰全面开放使用。该工具可根据用户的自然语言搜索内容,自动生成并优化广告文案,以更好地匹配UCP的落地应用。

回顾谷歌在“代理型购物”方面的进展,事实上,就在UCP登陆澳大利亚前一个月,谷歌发布了基于这一协议的Universal Cart(通用购物车)。

这一工具能够跨不同零售商和不同谷歌服务运行,无论消费者在谷歌搜索中浏览商品、与Gemini对话、观看YouTube视频,还是查阅Gmail邮件,均可将商品直接加入购物车。商品加入购物车后,系统在后台即刻开始运行,自动寻找优惠及降价信息,分析商品价格历史,并在商品补货时主动发出提醒。

据悉,该“通用购物车”由Gemini模型驱动,具备智能推理能力,可预测潜在的购物需求,在问题发生前主动提供协助。由于该工具基于谷歌钱包构建,它还能识别用户的支付方式优惠、会员积分及商家促销活动,据此推荐更划算的支付方案,帮助用户发现原本可能忽略的折扣或积分奖励,而无需自行逐一查询和记忆。

得益于上述技术支撑,谷歌还计划在未来数月内将基于UCP的智能结账体验扩展至加拿大和澳大利亚,随后登陆英国。与此同时,UCP也将进入美国的YouTube平台,并逐步覆盖更多行业场景,首批将包括酒店预订和本地餐饮配送等服务。


亿邦持续追踪报道该情报,如想了解更多与本文相关信息,请扫码关注作者微信。

文章来源:亿邦动力

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