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MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations

82 upvotes · 31 JUL 2026 · Qiming Shi, Yulong Tao, Linbo Jin et al.

This paper evaluates how well large language model (LLM) agents can perform long-term tasks in a real-world e-commerce setting, where they need to make decisions over time and adapt to changing conditions. Practitioners in e-commerce and AI research can learn from this study to improve the performance of LLM agents in similar environments.

e-commercelong-term coherencelarge language modelsautonomous decision-makingagent frameworks