Chatting with your ERP: A Recipe

July 31, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Jorge Ruiz GΓ³mez, Lidia AndrΓ©s Susinos, Jorge Alamo OlivΓ©, Sonia Rey Osorno, Manuel Luis Gonzalez HernΓ‘ndez arXiv ID 2507.23429 Category cs.AI: Artificial Intelligence Cross-listed cs.DB, cs.ET, cs.HC, cs.MA Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
This paper presents the design, implementation, and evaluation behind a Large Language Model (LLM) agent that chats with an industrial production-grade ERP system. The agent is capable of interpreting natural language queries and translating them into executable SQL statements, leveraging open-weight LLMs. A novel dual-agent architecture combining reasoning and critique stages was proposed to improve query generation reliability.
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