Work

AI-Driven ERP Systems

Year: 2025

Type: article

Abstract: Large Language Models (LLM) offer significant potential for automating complex tasks across domains. This article presents a novel Enterprise Resource Planning (ERP) system that leverages LLM to fulfill customer requests by accessing the ERP database for real-time updates, modifications, and availability checks, enhancing interaction and efficiency. Using a graph-theoretic framework, the system supports stateful workflows with cycles, branching, and human-in-the-loop (HITL) interactions, allowing precise control over application flow. This approach redefines LLM deployment in ERP applications, providing enhanced automation and responsiveness in customer service.

Source: Zeitschrift für wirtschaftlichen Fabrikbetrieb

DOI: 10.1515/zwf-2025-0007

Authors: Elias Niederwieser, Dietmar Siegele, Dominik T. Matt

Institutions: Fraunhofer Italia Research, Free University of Bozen-Bolzano

Language: English

Topic: ERP Systems Implementation and Impact

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,712

OpenAlex ID: W4408922687

FWCI: 1.403

Cites: 27

Cited by: 1

Related to: 10