Chatting with your ERP: A Recipe
July 31, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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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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