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    Home»Apps»Amazon Introduces AI-Powered ‘Interests’ for Personalized Shopping
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    Amazon Introduces AI-Powered ‘Interests’ for Personalized Shopping

    EchoCraft AIBy EchoCraft AIMarch 26, 2025No Comments3 Mins Read
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    Amazon has introduced “Interests,” an AI-driven feature designed to enhance product discovery and personalize the shopping experience.

    The tool allows users to enter prompts based on their hobbies, preferences, or budget, helping them find relevant products more efficiently.

    Highlights

    Personalized Shopping Experience: Amazon’s “Interests” leverages AI to translate everyday language prompts into structured search queries, making product discovery more tailored to individual hobbies, preferences, and budgets.
    Continuous Engagement: The feature not only supports one-time searches but also tracks user interests over time, notifying shoppers about restocks, new products, and deals that match their profiles.
    Seamless Integration: “Interests” is part of Amazon’s broader AI ecosystem, complementing tools like Rufus, AI Shopping Guides, Review Summaries, and AI-generated product descriptions to enhance the overall shopping experience.
    Early Access & Future Expansion: Currently available to a limited group of U.S. users via the Amazon Shopping app, the feature is expected to expand globally in the coming months.
    Industry Trends: Amazon’s move mirrors a growing trend in e-commerce where AI personalization is used to streamline shopping, improve customer engagement, and reduce friction in product discovery.

    With Interests, shoppers can describe what they are looking for in everyday language. For example, a user might search for “model building kits and accessories for hobbyist engineers” or “brewing tools and gadgets for coffee lovers.”

    Powered by large language models, the system interprets these inputs and translates them into structured search queries, providing more precise recommendations compared to traditional keyword-based searches.

    Beyond one-time searches, Interests functions as a continuous personalization tool. It tracks user preferences, notifies shoppers about newly available relevant products, updates them on restocks, and alerts them to deals that match their interests.

    This feature is currently available to a limited group of U.S. users through the Amazon Shopping app on iOS and Android and on the mobile website under the “Me” tab. Amazon plans to expand access in the coming months.

    AI Integration in Amazon’s Shopping Ecosystem

    The introduction of Interests aligns with Amazon’s broader strategy of integrating AI into its shopping platform. The company has already implemented several AI-powered tools, including:

    • Rufus: A conversational AI shopping assistant.
    • AI Shopping Guides: Personalized recommendations based on user input.
    • Review Summaries: AI-generated overviews of customer reviews.
    • AI-Generated Product Descriptions: Automated content to improve product listings.

    These tools aim to streamline the shopping process and enhance user engagement.

    Broader Industry Trends in AI-Powered Shopping

    AI-driven personalization is an increasing focus in the e-commerce industry. In addition to Amazon, other companies are also exploring similar innovations.

    Google recently enhanced its Shopping tab with “Vision Match,” an AI-powered tool that allows users to describe a garment they envision, generating visually similar product suggestions.

    The company has also introduced AI-generated product summaries to improve information accessibility for shoppers.

    Meanwhile, Amazon is reportedly testing “Health AI,” a chatbot designed to suggest products, answer health-related queries, and provide general care recommendations.

    The Role of AI in Personalized E-Commerce

    By leveraging generative AI for search and recommendations, Amazon aims to improve product discovery, simplify the shopping experience, and enhance customer engagement.

    As AI-powered personalization continues to evolve, companies are focusing on refining their capabilities to provide more relevant and efficient shopping experiences.

    AI Amazon Innovation Shopping
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