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Google 推出 Universal Cart 以追蹤跨平台購物旅程

💡了解 Google 的新型跨平台追蹤技術將如何重塑電子商務數據與用戶意圖訊號。
⚡ 30-Second TL;DR
有什麼變化
Universal Cart 可追蹤跨零售商與跨裝置的購物活動。
為什麼重要
這顯示 Google 意圖透過集中化購買漏斗來獲取更深層的消費者意圖數據。這可能會影響電子商務平台與 Google 搜尋及購物基礎設施的整合方式。
下一步行動
如果您正在開發電子商務工具,請研究 Google 的 Shopping Graph API,以確保您的產品數據能與其新的追蹤功能相容。
誰應關注:Developers & AI Engineers
關鍵要點
- •Universal Cart 可追蹤跨零售商與跨裝置的購物活動。
- •此功能解決了用戶在多天、多裝置間購物習慣的碎片化問題。
- •目標是在 Google 生態系統內提供統一的購物體驗。
🧠 深度解析
Web-grounded analysis with 16 cited sources.
🔑 增強重點摘要
- •The Universal Cart is powered by Google's Gemini AI models, enabling advanced features such as deal tracking, price drop alerts, stock availability monitoring, and proactive product recommendations.
- •It integrates with the Universal Commerce Protocol (UCP) to facilitate seamless cross-platform shopping and checkout, and introduces the Agent Payments Protocol (AP2) for secure, user-constrained AI-driven purchases.
- •The system can intelligently identify product incompatibilities (e.g., for custom PC builds) and suggest alternatives, while also leveraging Google Wallet integration to maximize loyalty points and savings for users.
- •Universal Cart is scheduled to roll out in Google Search and the Gemini app in the U.S. during summer 2026, with subsequent integrations planned for YouTube and Gmail, and the Universal Commerce Protocol expanding to Canada, Australia, and the UK.
- •This initiative signifies Google's strategic shift towards establishing AI as a transactional commerce layer, moving beyond mere product recommendations to actively manage shopping decisions and complete purchases on behalf of users.
📊 競品分析▸ Show
| Feature/Platform | Google Universal Cart | OpenAI's Agentic Commerce Protocol (with Stripe) | Perplexity / Microsoft Copilot Shopping Surfaces | Amazon (Direct E-commerce) |
|---|---|---|---|---|
| Core Functionality | Aggregates items from multiple retailers across Google ecosystem (Search, Gemini, YouTube, Gmail); AI-powered deal tracking, price alerts, compatibility checks, loyalty point maximization. | Anchors ChatGPT's checkout, enabling AI agents to complete purchases. | Runs their own AI-powered shopping surfaces. | Dominant direct e-commerce platform; offers extensive product selection and fulfillment. |
| AI Integration | Deeply integrated with Gemini models for proactive assistance, intelligent reasoning, and agentic commerce. | Utilizes AI agents for purchase completion. | AI-powered product discovery and recommendations. | Leverages AI for recommendations, search, and logistics within its own platform. |
| Cross-Platform/Merchant | Designed for cross-merchant and cross-Google service integration via UCP and AP2. | Protocol aims to help AI agents complete purchases across participating merchants. | Operates its own shopping surfaces, likely with varying merchant integration. | Primarily a closed ecosystem; has blocked outside agents and protocols. |
| Payment Protocol | Uses Agent Payments Protocol (AP2) for secure, user-constrained AI payments with digital mandates and Google Pay integration. | Co-developed with Stripe for AI agent-driven checkout. | Specific payment protocols not detailed in search results. | Own integrated payment system. |
| Privacy/Control | Users set strict guardrails for agentic payments; tamper-proof digital mandates create a paper trail; user data not used for training. | Requires explicit, verifiable shopper authorization for transactions. | Details not specified in search results. | Controls customer data within its ecosystem. |
🛠️ 技術深入
- AI Models: Powered by Google's Gemini models, which enable intelligent reasoning, proactive assistance, and continuous improvement of the cart's capabilities.
- Commerce Protocols: Leverages the Universal Commerce Protocol (UCP) as a shared infrastructure layer for seamless cross-platform shopping and checkout experiences.
- Payment Security: Utilizes the Agent Payments Protocol (AP2) to facilitate secure, user-constrained AI-driven payments. AP2 creates a transparent, verifiable link between the user, merchant, and payment processor, employing privacy-preserving technology and tamper-proof digital mandates to ensure accountability and a permanent digital paper trail.
- Data Foundation: Built upon Google's Shopping Graph, a comprehensive, real-time product database containing over 60 billion product listings, with more than 2 billion refreshed hourly, providing the necessary scale for AI-driven shopping experiences.
- Integration: Designed to integrate across Google's ecosystem, including Search, Gemini, YouTube, and Gmail, allowing users to add items from various touchpoints.
- Wallet Integration: Connects with Google Wallet to access payment method perks, loyalty information, and merchant offers, helping users maximize savings and rewards.
- Proactive Assistance: Employs intelligent reasoning to anticipate user needs, such as flagging product incompatibilities (e.g., PC parts) and suggesting alternatives before purchase.
- Privacy Measures: Google states that user data from Universal Cart and AP2 is not used for training AI models, and sourcing is built in to show which emails informed a given response.
🔮 前景展望AI analysis grounded in cited sources
Google will significantly increase its market share in online retail transactions.
By simplifying the entire shopping journey from discovery to purchase within its ecosystem and offering proactive AI assistance, Google aims to reduce friction and keep users on its platforms, potentially diverting transaction volume from direct merchant websites.
The launch will intensify competition in the 'agentic commerce' space, potentially leading to a 'pricing war' for AI models and services.
The emergence of Google's UCP and AP2 directly competes with rival protocols from OpenAI/Stripe and other AI shopping surfaces, suggesting an escalating battle for control over AI-driven transactions that could drive innovation and cost reductions.
Merchants will face increased pressure to integrate with Google's commerce protocols and optimize product data for AI-driven discovery.
To remain discoverable and facilitate seamless checkout within Google's evolving AI-powered shopping flows, businesses will need to adapt their strategies, potentially impacting direct website traffic but enhancing conversion rates through Google's platforms.
⏳ 時間線
2002
Google launches Froogle, a free price comparison tool.
2007
Froogle is rebranded to Google Product Search.
2019-05
Reports surface that Google tracks purchases via Gmail receipts, storing them in a 'Purchases' page.
2020-04
Google reintroduces free organic product listings in Google Shopping.
2025-11
Google Shopping AI Mode, powered by Gemini and the Shopping Graph, enables agentic checkout experiences.
2026-01
Google announces the Universal Commerce Protocol (UCP) to enable AI agents to complete purchases.
2026-02
Google introduces Business Agent, allowing brands to deploy AI sales associates within Search AI Mode and the Gemini app.
2026-05-19
Google announces Universal Cart, Agent Payments Protocol (AP2), and UCP expansion at Google I/O 2026.
📎 來源 (16)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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