Doppl AI Try-On Gets Shoppable Feed: Google Pushes Visual Shopping Forward

Fashion-conscious shoppers searching for how Google’s Doppl app works, whether its AI try-on is accurate, and what’s new in the platform now have a clear answer: Google has added a fully shoppable discovery feed designed to recommend outfits you can try on virtually. The update expands Doppl from an experimental AI styling tool into a more complete visual shopping platform. Users can now browse AI-generated outfit videos, tap on any product, and buy it instantly from partnered merchants.

Credit: Doppl

Google Expands Doppl With a New Shoppable Discovery Feed

Google’s latest update introduces a dedicated feed packed with visual outfit suggestions meant to mirror the scrolling experience users already know from TikTok and Instagram. Each item in the feed is tied to a merchant link, turning every swipe into a potential purchase. This marks one of Google’s biggest pushes into AI-powered e-commerce, aiming to keep shoppers inside its ecosystem rather than drifting toward competitors.

AI-Generated Outfit Videos Replace Traditional Influencers

Instead of influencer-led product showcases, Doppl is relying entirely on AI-generated content. The result is a feed filled with short AI videos of real apparel items, styled into complete outfits. Google frames this as a way to streamline discovery and offer consistent, personalized recommendations without the complexities of influencer partnerships. For shoppers, it means every video is tailored to product discovery rather than personality-driven entertainment.

Personalized Style Recommendations Built From User Signals

Doppl’s recommendations are driven by preference data users voluntarily share, combined with their browsing behavior inside the app. Each interaction—saving an outfit, liking a style, clicking a product—helps refine the system. This behavioral approach allows Google to continually adapt the feed, ensuring users see pieces aligned with their evolving tastes. The goal is to make Doppl feel like a digital stylist that learns from each session.

Visual Shopping Trends Are Shaping Google’s Strategy

The shift toward a video-heavy discovery feed reflects broader market trends. Platforms like TikTok, Instagram, and Amazon’s Inspire have normalized the mix of short-form video and impulse shopping. Google’s decision to lean fully into AI-generated visuals positions Doppl to compete without relying on creators or user-generated content. It’s a strategic attempt to reclaim relevance in an e-commerce landscape where Google Shopping has lost momentum.

AI Takes Center Stage as Google Tests New Retail Paths

By betting on AI to power every element of Doppl’s experience, Google appears to be experimenting with how far automated content can drive purchasing behavior. This is a contrast to platforms built around real people modeling products. For Google, AI offers scalability, consistency, and speed—enabling thousands of outfit combinations to be shown in seconds. Whether users embrace AI-only feeds remains an open question, but Google sees clear opportunity in the model.

Doppl’s Video Try-On Feature Builds on Its Existing Tech

AI-generated videos aren’t entirely new to Doppl. The app already allows users to see a virtual version of themselves wearing an outfit generated from a static image. Now, those images can transform into short dynamic clips that show how a fabric might move or how a look might fit when walking. This makes the experience feel more lifelike and helps reduce uncertainty when deciding whether an outfit is worth buying.

Shoppable Videos Bring E-Commerce and Virtual Try-On Together

Turning every AI video into a shoppable moment blurs the line between browsing and purchasing. Instead of manually searching for each piece, users can tap a product directly from the video and land on a merchant page. This friction-free flow is essential for mobile shoppers, who expect speed and clarity. It also aligns with Google’s goal of turning Doppl into a viable competitor in the AI fashion discovery space.

Google Aims to Capture E-Commerce Attention With Novel Formats

As Amazon and social platforms dominate online shopping journeys, Google is trying to reposition itself through innovation. Doppl’s feed showcases how AI can create immersive product experiences without relying on traditional photography or video shoots. If the format resonates, it could inspire a new category of AI-first retail experiences—where virtual models, dynamic styling, and automated videos become the norm.

The Discovery Feed Reflects Google’s Broader AI Vision

Doppl’s latest update is more than a fashion feature; it fits into Google’s long-term AI strategy. Using generative models to power visual shopping gives Google a new avenue for applying its research while addressing real consumer needs. The discovery feed functions as a testbed for broader retail applications, from virtual storefronts to AI-powered ads that generate visuals on the fly.

A New Chapter for Doppl and AI-Driven Shopping Experiences

Google’s decision to invest in Doppl indicates confidence that AI can reshape how people browse and buy clothing. With the new shoppable feed, the app now feels less like an experiment and more like a forward-looking shopping tool. The coming months will reveal whether consumers embrace AI-generated videos as part of their fashion journey, but Google’s latest move highlights a clear commitment to redefining digital retail.