Doppl launches AI fashion feed to try on and buy | Keryc
Doppl, Google Labs' experimental app, brings a fashion discovery feed that combines personalized recommendations, AI-generated videos and direct links to buy. Can you imagine discovering an outfit, seeing it in motion and buying it without leaving the app? That's exactly what this update proposes.
What the new discovery feed offers
The core novelty is a shoppable feed: almost everything you see in Doppl has direct links to merchants so you can buy the items. It also includes AI-generated videos that show real products in motion, and outfit recommendations based on your style profile.
Personalized recommendations based on the preferences you share with Doppl and the items you interact with.
AI-generated videos that present real items so you can see how they move and look from different angles.
Direct links to stores and merchants, making purchasing part of the same experience.
How it works (from a technical perspective)
Not all internal details are public, but these are the techniques and components usually behind systems like this:
Hybrid recommendation models: they combine explicit signals (your style profile) and implicit signals (clicks, watch time) to rank outfits.
Product-driven video generation: multimodal models that receive product images and generate realistic clips. These models use architectures like transformer multimodal and video synthesis techniques conditioned on the item's appearance.
Commercial integration pipeline: a product feed that links real inventory with the AI-generated experience, ensuring what's shown is shoppable and has up-to-date links.
Critical operational metrics: click-through rate (CTR), conversion rate, inference latency (important for near-real-time video) and perceived image/video quality.
In practice, this usually combines an efficient recommendation engine with a generative module responsible for the visual content.
Privacy and personalization
Doppl personalizes recommendations with the information you share and with your interaction inside the app. If you're concerned about privacy, it's key to review the controls and permissions: what is shared, whether there's on-device processing and how data is handled with third-party merchants.
Impact for users and businesses
For you, this means less friction between inspiration and purchase: you discover, try virtually and buy without app jumps. Want to try a look for a date or a presentation? Being able to see the outfit in motion on video changes the shopping experience.
For merchants and brands, integration with a shoppable feed opens discovery opportunities and faster conversions. If you're a developer or product manager, you should think about:
Quality of the product feed and stock synchronization.
Measuring conversion metrics and attribution from the feed.
Moderation of AI-generated content and verification that what’s shown matches the real product.
Availability and requirements
These features are available in Doppl for iOS and Android starting today in the United States, for people 18 and older. If you're outside the U.S. or under 18, you won't have access yet.
The arrival of these experiences shows how AI is changing not only how we discover fashion, but the entire route to purchase. More personalized interaction, more generated video and a direct window to commerce: all in one app. Isn't it interesting to think about how this could change clothes shopping for people who always wonder whether something will actually fit?
