European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Revolutionizing Enterprise Resource Planning Through AI Integration: A Technical Deep Dive

Abstract

The integration of Large Language Models (LLMs) in Enterprise Resource Planning (ERP) systems represents a transformative advancement in business process automation. The implementation focuses on four key areas: dynamic data querying through natural language processing, automated workflow communications, intelligent error management, and conversational AI integration. These innovations have revolutionized how organizations interact with their ERP systems, enabling intuitive data access, streamlined workflows, proactive error handling, and enhanced user experiences. The adoption of LLM-enhanced ERP solutions has demonstrated substantial improvements in operational efficiency, system reliability, and user satisfaction while reducing manual intervention and processing times across various industry sectors.

Keywords: Conversational AI, LLM-enhanced ERP systems, error management, natural language processing, workflow automation

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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