# Google’s AI Try-On App Doppl Adds a Shoppable Discovery Feed
Google continues to revolutionize the fashion technology landscape with its innovative AI-powered virtual try-on app, Doppl. As the digital shopping experience evolves, the tech giant has enhanced its experimental platform with new features designed to streamline the path from discovery to purchase. The addition of a shoppable discovery feed represents a significant step forward in making virtual fashion exploration not just entertaining, but directly actionable for consumers.
## Understanding Doppl: The Evolution of Virtual Try-On Technology
Doppl launched in June 2025 as Google’s most ambitious venture into personalized virtual fashion[1][2]. Unlike previous virtual try-on features available through Google Shopping, which displayed clothing on diverse models’ bodies, Doppl takes personalization to an entirely new level[1]. The app allows users to create their own photorealistic digital avatars by uploading a full-body photo, then visualize how different outfits would look on their unique body shape and proportions[1][2].
The core appeal of Doppl lies in its accessibility and user-friendly design. Available for both iOS and Android users in the United States, the app is free to download and restricted to users 18 years or older[3]. What sets it apart from traditional e-commerce solutions is its ability to transform static try-on images into short, AI-generated videos that show how outfits move and look in real life[1]. This dynamic visualization provides users with a far more accurate sense of fit and flow than static product images alone.
## How the Shoppable Discovery Feed Works
The introduction of a shoppable discovery feed to Doppl represents a natural progression in the app’s functionality. This feature bridges the gap between inspiration and action, allowing users to discover new styles and immediately purchase items without leaving the app ecosystem[2].
The discovery feed likely functions as a curated stream of fashion content, trending styles, and personalized recommendations based on user preferences and previous try-on activity. What makes it particularly innovative is the “shoppable” aspect—users can tap directly on items they see in the feed, try them on virtually using their digital avatar, and if they like what they see, proceed to purchase without friction. This seamless integration of discovery, visualization, and commerce addresses one of the biggest pain points in online shopping: the uncertainty of how clothes will actually look on your body.
## The User Experience: From Discovery to Purchase
The typical workflow with the enhanced Doppl app follows a logical progression. Users browse the discovery feed, which showcases clothing items from various brands and retailers. When an item catches their eye, they can instantly apply it to their virtual avatar to see how it would look on them. The AI-generated animation shows the outfit in motion, providing crucial insights into drape, fit, and overall aesthetic compatibility.
If users are satisfied with how an item appears on their virtual try-on, they can proceed directly to purchase through integrated shopping links. This eliminates the traditional friction points of online fashion shopping: the inability to visualize fit, uncertainty about sizing, and the disconnect between how items look on models versus on real bodies[1].
## Benefits for Consumers and Retailers
For consumers, the shoppable discovery feed offers multiple advantages. First, it reduces purchase hesitation by allowing virtual try-ons before committing financially. Second, it enables users to explore fashion more confidently, knowing they have a better sense of how items will actually look on them. Third, it streamlines the shopping process by integrating discovery and purchase into a single app experience.
For retailers and brands, Doppl’s enhanced capabilities present significant opportunities. The app provides valuable data about which items users are trying on and purchasing, offering insights into consumer preferences. The shoppable feed also creates a new marketing channel where brands can showcase their products to users actively engaged in fashion exploration. Additionally, the reduced return rates that typically result from better fit visualization can improve profitability and customer satisfaction[1].
## The Broader Context of AI in Fashion
Google’s continued investment in Doppl reflects the broader trend of AI transforming the fashion industry. The company has built the app on generative AI technology that understands body proportions, fabric dynamics, and how clothing moves in three-dimensional space[2]. This represents years of machine learning development specifically trained on fashion data.
The addition of a shoppable discovery feed shows that Google isn’t just interested in creating a fun styling tool—it’s building a comprehensive shopping platform. By combining virtual try-on technology with commerce integration, Google positions Doppl as a potential competitor to traditional fashion e-commerce platforms while offering capabilities those platforms cannot match.
## Looking Forward
As Doppl continues to evolve, the shoppable discovery feed marks an important inflection point in the app’s development. What began as an experimental tool for personal style exploration has matured into a legitimate shopping platform. The success of this feature will likely depend on the quality of the discovery algorithm, the breadth of available products, and how seamlessly the shopping experience integrates with the try-on functionality.
For fashion enthusiasts, tech-savvy shoppers, and anyone frustrated with online clothing purchases, Doppl’s enhanced capabilities offer a genuinely innovative solution. As virtual try-on technology becomes increasingly sophisticated and accessible, apps like Doppl may fundamentally reshape how people shop for clothes online. The addition of a shoppable discovery feed represents a crucial step toward making that vision a reality, transforming virtual fashion exploration from an entertainment feature into an essential shopping tool[1][2].
Original source: TechCrunch – Google’s AI try-on app Doppl adds a shoppable discovery feed