Artificial Intelligence Integration in Enterprise Resource Planning Systems: Operational Efficiency and Strategic Organizational Performance in Manufacturing Environments

ARWA AL ANI

doi:10.71229/fc59yj21

Authors

Arwa Mahmood Al Ani Faculty of Engineering, Sakarya University of Applied Sciences, Türkiye

DOI:

https://doi.org/10.71229/fc59yj21

Keywords:

AI, ERP, Cloud computing, Generative artificial Intelligence

Abstract

The rapid advancement of artificial intelligence (AI) has significantly transformed enterprise resource planning (ERP) systems, shifting them from traditional transactional platforms into intelligent decision-support environments. This study investigates the integration of AI technologies, including machine learning, predictive analytics, natural language processing, and generative AI—within ERP systems and evaluates their impact on both operational efficiency and strategic organizational performance.

From a management perspective, AI-enabled ERP systems enhance decision-making quality, improve resource allocation, and support strategic planning by enabling real-time data analysis and predictive insights. In manufacturing environments, these systems contribute to reduced operational costs, improved productivity, optimized supply chain performance, and enhanced organizational agility.

The study adopts a qualitative case study methodology based on secondary data from industry reports and documented ERP implementations, focusing on Champion Fiberglass as a representative manufacturing organization. The findings demonstrate that AI integration not only improves automation and forecasting accuracy but also strengthens organizational resilience, supports digital transformation, and enhances long-term competitiveness.

Overall, the research highlights AI-powered ERP systems as strategic enablers of enterprise transformation, linking technological innovation with managerial effectiveness and operational excellence.

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