arXiv: cs.AI preprintsInternational6 November 2026
AutoVend: Benchmarking LLM Agents on Long-Horizon Autonomous Vending Operations
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arXiv:2610.36980v2 Announce Type: replace Abstract: Large language model (LLM) agents are extending agent-mediated commerce on the Web from shopping for consumers to operating businesses for sellers. In online-to-offline (O2O) commerce, decisions are issued through Web-based platforms but realized through costly physical execution. Evaluating such agents requires going beyond individual transactions to ask whether decisions made online turn into sustained economic returns. We introduce AutoVend, a benchmark in which one LLM agent manages 20 vending machines across five site types through a Web
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