Pinterest Enhances Fashion Search with AI Image Interpretation


May 6, 2025

Tech News

Pinterest is enhancing the way users search for fashion items by leveraging AI to interpret images. Their new “Visual Language Model” generates descriptive keywords that accurately reflect the style and aesthetics of images. Initially available for women’s fashion in the U.S., Canada, and the UK, the tool simplifies the process of finding specific clothing details.

In a significant move to bolster its capabilities, Datadog has acquired Eppo, an innovative feature-flagging and experimentation platform. This acquisition follows Datadog’s purchase of Metaplane and is aimed at enriching its product analytics solutions. Eppo specializes in simplifying app experimentation, providing users with essential metrics to assess model performance in a simpler manner.

Meanwhile, the startup Bono strives to revolutionize charitable donations by connecting users with vetted organizations based on their interests. Launched alongside a $1.6 million pre-seed funding round, Bono automates donations while offering detailed impact reports to showcase the difference users make with their contributions. The platform aims to modernize giving by incorporating an AI-chatbot feature in the upcoming months.

Amid this dynamic tech landscape, the global market for product analytics is booming. With Datadog’s acquisition of Eppo, the anticipated growth in product analytics—from $9.09 billion last year to $27.01 billion by 2032—highlights the increasing importance of comprehensive analytics tools in shaping user engagement and product quality in various tech domains.

Tech Explained

Visual Language Model – This is a type of artificial intelligence that interprets visual information to generate descriptive keywords. In Pinterest’s case, it helps users search for clothing items by decoding images and suggesting relevant terms based on identified styles and aesthetics.

Feature Flagging – A software development technique used to enable or disable features in an application without deploying new code. Eppo employs this method to allow developers to test different versions of features or models, ensuring that only the best-performing options are utilized in production.

Experimentation – This refers to the process of systematically testing variations of an application to determine which performs best. Eppo specializes in providing tools that facilitate live experiments, allowing teams to make data-driven decisions and enhance the user experience of their apps.

Chatbot – A program that simulates human conversation using artificial intelligence. Bono’s upcoming chatbot will match donors with charities based on their interests, simplifying the donation process and enhancing user engagement through personalized interactions.

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