The Integration and Impact of Artificial Intelligence in Modern Enterprise Resource Planning Systems: a Comprehensive Review
Year: 2024
Type: article
Abstract: This comprehensive article examines the transformative integration of Artificial Intelligence (AI) within Enterprise Resource Planning (ERP) systems, analyzing its impact across various organizational domains and functional areas. The article investigates how AI technologies revolutionize traditional ERP frameworks through advanced process automation, intelligent analytics, and adaptive learning capabilities, fundamentally enhancing organizational efficiency and decision-making processes. Through detailed analysis of core applications, including automated workflow management, predictive analytics, and supply chain optimization, this paper demonstrates the substantial benefits of AI-ERP integration while addressing implementation challenges and future opportunities. The research explores critical aspects of system architecture, risk management, and compliance automation, providing insights into how organizations can effectively leverage AI capabilities within their enterprise systems. Furthermore, the article examines the evolution of functional applications across financial management, human resources, and customer relationship management, highlighting how AI enhances these core business functions through intelligent automation and predictive capabilities. The findings indicate that while organizations face significant implementation challenges, the integration of AI in ERP systems offers unprecedented opportunities for operational excellence, strategic decision-making, and competitive advantage in the modern business landscape, setting the stage for future innovations in enterprise management and digital transformation.
Author: Researcher
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6893026995