• •CatalogDoorman (catalogdoorman.netlify.app) released a browser-based AI agent designed to navigate e-commerce sites and select product recommendations.
• •The tool demonstrates a specialized approach to retail automation, moving beyond simple chatbots to simulate the selection process of a human shopper.
• •The project currently lacks public benchmarks regarding its accuracy, error rates, or scalability across diverse, non-standardized merchant websites.

CatalogDoorman has debuted a web-based AI agent that autonomously navigates e-commerce storefronts to suggest products. Unlike traditional search-and-filter interfaces, this tool attempts to replicate the decision-making process of a human curator. However, technical friction remains, as the agent must contend with the highly inconsistent HTML structures of different online shops. Whether such tools can reliably generalize across the vast web will depend on their ability to handle dynamic site layouts and edge-case checkout workflows.