Amazon has launched Lens Live, a new AI-powered upgrade to its Amazon Lens visual search feature that allows consumers to discover products by pointing their phone’s camera at things in the real world. The tool also integrates with Amazon’s AI shopping assistant, Rufus, for product insights and research.
Key Highlights
The new feature brings a real-time, interactive layer to Amazon’s visual search capabilities:
- New Feature: Lens Live, a real-time AI visual search tool within the Amazon Shopping app.
- Functionality: Point your phone camera at real-world items to see matching products appear in a swipeable carousel.
- Rufus Integration: Integrates with Amazon’s AI shopping assistant, Rufus, to provide AI-generated product summaries and suggested questions.
- Initial Rollout: Launching on the Amazon Shopping app on iOS for tens of millions of U.S. shoppers first.
How It Works: Real-Time Comparison Shopping
Lens Live brings a real-time component to Amazon’s existing visual search tool. Users can point their phone at an object in the real world, and matching or similar products will instantly appear in a swipeable carousel at the bottom of the screen. This capitalizes on an existing customer behavior: comparison shopping while in physical retail stores to see if Amazon has a better deal. When a user finds a match they like, they can add it to their cart or save it to their wish list with a single tap.
An Expanding Suite of AI Shopping Tools
The launch of Lens Live is one of several ways Amazon has been leveraging AI to enhance the online shopping experience. Over the past year, the company has also rolled out other features like its AI assistant Rufus, AI-powered shopping guides, AI-enhanced product reviews, and AI tools for finding clothes that fit.
Looking Ahead
For the highly mobile-first and e-commerce savvy consumers in the MENA region, the potential future rollout of a tool like Lens Live could significantly change in-store comparison shopping and product discovery. The feature is powered by Amazon SageMaker services, which allow machine learning models to be deployed at scale.
Source: TechCrunch