Amazon, the American technology giant, has rolled out a generative AI tool designed to answer consumer questions about products sold on its online marketplace, a development reported by CNBC. The feature marks a continued push by the company into AI-assisted shopping, aiming to streamline how buyers gather information while browsing product listings.
In addition, a new capability within the Market mobile app enables AI to extract and summarize key product features from customer reviews and specified detail points. This helps shoppers quickly identify what matters most about a product without wading through hundreds of user opinions themselves. The approach connects real user experiences with concise, readable insights that users can use to compare options more efficiently.
While the AI assistant does not engage in a back-and-forth ChatGPT style dialogue with a human, it can respond to a broad range of creative prompts. For example, users can request a lighthearted song, a poem, or even a short fable that captures the defining traits of a particular product. Journalists demonstrated this capability by prompting the system to describe a winter jacket in the distinctive voice of Master Yoda from the Star Wars universe, illustrating how the AI can adapt tone and style while staying focused on product traits.
Amazon has been accelerating its AI push across the storefront in recent months. Reports indicate that the company began testing AI-generated product reviews last year and has since launched AI features aimed at assisting third-party sellers with listing optimization and discovery on the platform. These moves underscore a broader trend of integrating synthetic intelligence to enhance shopping information, improve search relevance, and support sellers in reaching potential buyers more effectively.
Meanwhile, Walmart, once recognized as the world’s largest hypermarket chain, has also explored AI-driven controls to curate holiday assortments and event-oriented product selections. The industry-wide interest in AI-assisted retail choices highlights how major players are experimenting with autonomous systems to streamline decision-making, automate content generation, and personalize consumer experiences at scale.
Overall, the emergence of AI in e commerce signals a shift toward faster, more data-informed shopping decisions. By drawing insights from user feedback, easing the extraction of product highlights, and offering adaptive, creative interactions, these tools aim to reduce friction for buyers while giving sellers a clearer path to presenting what matters most to shoppers. As the technology evolves, the role of AI in online marketplaces is likely to expand further, fostering a more responsive and informed shopping environment for consumers in the United States and Canada. The ongoing experimentation by major retailers points to a future where AI-enabled assistance becomes a standard feature rather than a novelty on major e commerce platforms.