Wildberries Tests AI Feature to Display Product Core Selling Points on Search Results Page

On April 8, Russian e-commerce platform Wildberries (RWB) announced that it is piloting a new artificial intelligence feature in its mobile app, designed to simplify the product selection process by analyzing user reviews. The feature is currently being tested with a subset of users in categories such as electronics, apparel, and footwear. The AI automatically analyzes hundreds of buyer reviews, extracting the most frequently mentioned key characteristics of products (such as "genuine leather," "large battery capacity," "powerful bass," "easy to wear," etc.), and displays these concise summaries directly on the product cards in search results, alongside product ratings. These summaries are dynamically updated based on the latest reviews. The platform stated that this initiative aims to address information overload, help users reduce decision-making time, and enhance transparency regarding product features. The launch of this AI feature is part of Wildberries' ongoing efforts over the past year to systematically apply artificial intelligence technologies—including image search, product description generation, review summarization, and virtual studios—to optimize the user experience. [Source: Ebrun Go. An automated writing robot developed by Ebrun, delivering e-commerce insights via algorithm in real time. This AI is still young; welcome to contact run@ebrun.com or leave comments to help it improve.]