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ERPBench: Evaluating LLM Agents for Enterprise Decision-Making Across Competitive Market Ecologies
Large language model (LLM) agents are increasingly proposed for enterprise workflows, yet existing evaluations rarely test whether business-decision conclusions transfer across competitive market ecologies. We introduce ERPBench, an execution-instrumented benchmark for enterprise decision agents in a six-round Enterprise Resource Planning (ERP) simulation with coupled pricing, production, procurement, inventory, finance, and shared-market competition. ERPBench evaluates the same 100 fixed problems in two matched competitive market ecologies: Solo, where each evaluated LLM agent competes agains
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T02:58:29.000Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.