Luxury retailer blocks AI shopping bots

Ten million United States users downloaded Meta’s Muse application within 40 days of its launch, a rapid adoption rate that has prompted retail partners to reassess their digital infrastructure. The surge in AI agent usage has forced secondhand luxury consignment retailer The RealReal to modify its platform defenses. The company implemented new bot controls to prevent automated software from securing inventory through repetitive purchasing actions.

The RealReal’s previous system allowed items to be placed on hold for 20 minutes once added to a shopping cart. During that window, the merchandise was unavailable to other customers. A test conducted by The Verge demonstrated that an AI agent could exploit this mechanism. The agent was programmed to re-add listings to a cart immediately after the 20-minute expiration. This loop prevented other shoppers from accessing popular designer pieces for extended periods.

Luke Friang, the chief technology officer at The RealReal, confirmed the company addressed the specific vulnerability identified in the testing. Friang stated via email that the updated bot defense configuration now complicates the login, cart addition, and checkout processes for all agents. The company intends to maintain the ability for agents to display product listings and direct users to specific pages. Friang added that the firm will continue to refine these protections as AI-driven commerce develops.

Meta did not provide an immediate response to requests for comment regarding the changes. The company previously disclosed on its third-quarter earnings call that shopping represented the most frequent use case for Muse. Meta reported that average purchases made through the agent exceeded $200. These figures suggest a shift in consumer behavior where automated assistants handle routine transactions on behalf of human owners.

Major retailers have already adjusted their strategies to accommodate this shift. Amazon and other large e-commerce players have restricted agent access to their sites. The move aims to preserve direct customer relationships and protect advertising revenue streams. If humans increasingly interact with the web through chatbots rather than direct browsing, businesses risk losing direct engagement with their customer base.

The reserve systems designed for human hesitation face new challenges with automated agents. A human shopper may hesitate or abandon a purchase, freeing up inventory. An AI agent, however, executes the re-adding process without fatigue or indecision. This capability allows millions of consumers to secure scarce luxury goods through software rather than manual effort. Retailers are currently adapting their platforms to manage this new layer of automated demand.