Google has announced a major new feature for its experimental AI-powered virtual fitting app, 'Doppl'. The update introduces a 'Shoppable Discovery Feed' that allows users to discover and purchase fashion items directly within the app, enhancing the personal and interactive shopping experience in the digital fashion world.
In a move aimed at reshaping the e-commerce shopping experience, Google has launched a major new feature for its experimental app 'Doppl', which relies on advanced artificial intelligence technologies. The app, originally designed to enable users to virtually 'try on' clothes using a personal photo, has now evolved beyond a mere simulation tool into a comprehensive shopping discovery platform.
The new feature, called the 'Shoppable Discovery Feed', presents users with a variety of fashion products and clothing that align with their personal taste and style, based on AI analysis of their browsing history and past experiences within the app. What distinguishes this feed is the ability to interact directly with the displayed products; users can not only see how an item would look on them via the virtual fitting feature but also obtain detailed information about it and purchase it immediately from partner stores. This streamlines the shopping journey from discovery to purchase into simple, quick steps.
This development comes amid intense competition among tech giants to offer the most innovative solutions in the e-commerce retail space, particularly in the fast-growing fashion sector. By integrating precise visual simulation technology with a smart, instantly-purchasable product discovery mechanism, Google aims to make the online shopping process more personal, confident, and efficient, while reducing the product return rates that plague traditional online stores.
The addition of the shoppable feed to the Doppl app represents a qualitative leap in how consumers interact with fashion online. It goes beyond simulating the fitting process to create a proactive shopping environment that offers personalized suggestions, thereby enhancing discovery and purchase opportunities. These technologies are expected to accelerate the retail industry's shift toward more integrated models blending the digital and physical worlds, with the user experience at the heart of innovation.
Source: TechCrunch AI | Exclusive coverage from AI Tools Oasis
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