Klarna Introduces AI-Driven 'Photo' Shopping for Direct Purchases Straight From Phone Images
In Brief
The Swedish fintech firm Klarna has just rolled out an AI-enhanced shopping capability that facilitates the purchasing of products directly via images captured on mobile devices.
Swedish fintech giant Klarna Klarna has introduced a groundbreaking shopping tool powered by AI, created in partnership with OpenAI to facilitate seamless purchases from user-submitted images. OpenAI This feature is designed to streamline shopping, quickly transforming regular images into purchasable products through Klarna’s mobile application. It's currently available for users in the USA, UK, Germany, Sweden, Denmark, and Norway.
Klarna’s AI shopping tool is capable of identifying over 10 million different products, ranging from clothing and home decor to electronics, while also offering comparative pricing, store details, and user reviews. To protect users’ privacy, the AI is programmed to skip recognizing any facial or bodily images.
This strategic initiative reflects a growing trend among startups that are leveraging AI technologies to strengthen their market presence and boost valuations ahead of anticipated public offerings.
What sets Klarna’s shopping lens apart is its specific design for shopping purposes, unlike Google Lens, which offers a broader range of functionalities not solely focused on purchases.
Klarna has achieved monthly profitability ahead of expectations, indicating a robust recovery and growth trajectory following a previous decline in valuation.
Microsoft enhances the online shopping experience with AI shopping tools for Bing and Edge, which facilitate product discovery, research, and purchases by providing personalized recommendations, product details, summarized reviews, and valuable insights for informed decision-making.
In June, Microsoft launched Additionally, the Price Match feature actively tracks price changes, allowing users to request a match if prices drop, and Microsoft has teamed up with US retailers to implement this service. Other features, like Price Comparison, Price History, Coupons, Cashback, and Package Tracking, are all designed to streamline the shopping process.
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In line with the Trust Project guidelines Agne is a journalist who reports on the latest trends and developments within the metaverse, AI, and Web3 sectors for Metaverse Post. Her love for storytelling drives her to interview industry experts, always on the lookout for captivating narratives. Agne earned a Bachelor’s degree in literature and has a rich writing background that spans various subjects, including travel, art, and culture. She has also volunteered as an editor for an animal rights organization, focusing on raising awareness around animal welfare issues. Reach her at
