Google has introduced a suite of AI-driven shopping tools in the US, including a virtual fitting room app called Doppl, improved price-tracking features, and AI-powered fashion search. These updates aim to make online shopping more personalized, efficient, and interactive for users.
Google’s standout innovation is Doppl, a virtual fitting room app that allows users to try on clothes digitally. This AI-powered feature brings the in-store fitting experience to the online space, helping shoppers make better purchasing decisions.
Users simply upload a full-length photo of themselves, and Doppl generates a realistic preview of how selected outfits would fit their body shape. The app also allows:
Browsing through multiple styles and collections
Saving favourite outfits for later
Sharing previews with friends for feedback
By simulating the in-person try-on experience, Doppl bridges the gap between offline and online shopping, boosting buyer confidence and reducing product returns.
Alongside Doppl, Google has upgraded its price-tracking system for a smarter shopping experience. Users can now:
Set alerts for specific products based on size, colour, or budget
Receive notifications when items match desired prices
Powered by Google’s Shopping Graph, the system scans online stores to ensure shoppers don’t miss out on discounts or deals. This enhancement eliminates the need to constantly monitor multiple websites, making online shopping more convenient and cost-effective.
Google is also transforming the way users search for clothing online with natural language AI search capabilities. Shoppers can enter phrases like:
“Affordable floral maxi dress”
“Oversized hoodie under USD 30”
The AI interprets these queries and delivers highly relevant product results, simplifying the process of finding items that match individual tastes and budgets. This feature combines convenience with precision, making online fashion discovery faster and more personalized.
By combining virtual try-ons, smarter price alerts, and AI-enhanced searches, Google aims to tackle two major issues in online shopping:
Uncertainty about fit and style – Doppl helps users visualize clothes on their body shape.
Missed deals and inefficient search – Price tracking and conversational AI searches save time and money.
Together, these features increase buyer confidence, potentially reducing product returns and enhancing overall satisfaction.
Currently, these AI shopping tools are available in the US, but Google plans to expand to other countries, including India, in the near future. By integrating AI personalisation, deal tracking, and intuitive search, Google is positioning itself as a leader in online shopping innovation.
Conclusion
Google’s new AI shopping features—Doppl virtual fitting room, enhanced price tracking, and AI-powered fashion search—represent a major step forward in creating a personalized, convenient, and interactive shopping experience. These tools not only help consumers make informed purchasing decisions but also redefine how online fashion and retail are approached in the digital era.