Amazon Shopping Assistant now supports real-time two-way conversation, Amazon's AI shopping matrix upgraded

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Amazon officially launched the "Join the Chat" feature this month, allowing users to ask AI questions via text or voice in real-time on product pages and receive conversational voice responses based on product features and user reviews, marking the latest addition to Amazon's AI shopping ecosystem. (Context: Amazon plans to spend $9 billion to acquire satellite company Globalstar to challenge Starlink, with major shareholder Apple being a key variable.) (Background: Y Combinator startup guide interpretation: What are the future development trends for AI Agent?) In May 2025, Amazon launched "Hear the Highlights" on product pages in its shopping app, using AI to generate tens of seconds of voice summaries, allowing users to grasp product highlights without scrolling through reviews line by line. Now, Amazon announced in an official statement that this feature has added a "Join the Chat" entry point, where users can ask the AI questions directly, turning the voice summary from a single recording into a two-way interactive conversation. The operation path for "Join the Chat" is straightforward: open the product page, click the "Hear the Highlights" button below the product image, listen to an AI-generated overview, and then click the "Join the Chat" icon to input questions via text or voice. Amazon stated that this system adjusts the direction of subsequent answers based on the user's previous questions while avoiding the repetition of information already provided. For example, if a consumer asks, "Is this coffee machine suitable for beginners?", the AI will not provide a generic description from the product page, but will instead respond by integrating usage experiences from real user reviews. "Join the Chat" is not an isolated feature, but the result of Amazon's intensive deployment over the past two years. Rufus, launched in February 2024, serves as the foundation of this matrix. As a generative AI shopping assistant, Rufus allows users to search for products and compare options through conversation. By the end of 2025, Rufus users exceeded 250 million, and the company estimates it drove $12 billion in incremental sales, with a conversion rate 60% higher than traditional search. Beyond Rufus, Amazon has successively launched: - Interests: Continuously tracks user preferences and automatically surfaces new products that meet the criteria. - Help me decide: Provides personalized recommendations based on browsing and purchase history. - Hear the Highlights: Product page voice summaries (tested since May 2025). - Join the Chat: Interactive voice Q&A (officially launched this April). Coupled with the continuously enhanced Alexa+, Amazon's AI shopping toolchain now covers six segments: "active search, passive discovery, decision support, voice summary, interactive Q&A, and voice ordering." As Amazon strengthens its internal AI matrix, the external competitive landscape is also rapidly reorganizing. In January 2026, Google announced the Universal Commerce Protocol, uniting retailers such as Shopify, Walmart, and Target to create a cross-platform AI commerce standard. In September 2025, OpenAI launched the Agentic Commerce Protocol, integrated with Stripe, allowing ChatGPT to complete checkouts directly for users. The common logic behind these two protocols is to allow AI agents (automated programs that can perform tasks on behalf of users) to move freely between different platforms; however, Amazon has not joined any cross-platform protocols to date. This choice is not difficult to understand. Amazon's e-commerce ecosystem is a closed loop: logistics, payment, advertising, and cloud infrastructure (AWS) are all proprietary. Allowing third-party AI agents to intervene would mean opening up pricing information, inventory data, and user behavior data. McKinsey predicts that the global scale of AI agent commerce will reach $3 to $5 trillion by 2030. The dominance of this market is not just a competition of technology, but a struggle for data sovereignty.

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