What type of study is this?

This is a Experimental Study study.

October 9, 2025Open Access

Chatting with your ERP: A Recipe

Puntos clave

The dual-agent architecture significantly enhances the reliability of query generation from natural language input.
The large language model agent effectively converts user queries into executable SQL statements, improving communication with ERP systems.
Open-weight models enabled the development of an advanced ERP interaction tool, marking a new direction in industrial automation.
The architecture consists of reasoning and critique stages, demonstrating a novel approach to handling complex query interpretations.

Resumen

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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Cite This Study

Gómez et al. (Thu,) studied this question.

synapsesocial.com/papers/68e70db790569dd607ee683b https://doi.org/https://doi.org/10.48550/arxiv.2507.23429

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