AI and Cloud-Driven Approaches for Modernizing Traditional ERP Systems

Authors

  • Chandra Jaiswal

Keywords:

ERP modernization, Artificial Intelligence, Cloud computing, Legacy systems, Digital transformation

Abstract

Legacy Enterprise Resource Planning (ERP) systems face significant challenges in meeting modern business demands for agility, scalability, and intelligent automation. This research investigates the integration of Artificial Intelligence (AI) and cloud computing technologies as strategic approaches to modernizing legacy ERP systems. Through a comprehensive analysis of current practices and emerging trends, this study examines the transformation pathways, implementation challenges, and performance outcomes of AI and cloud-enabled ERP modernization. The research methodology combines literature analysis, case study evaluation, and performance assessment frameworks to provide insights into successful modernization strategies. Results demonstrate that AI integration enhances predictive analytics capabilities by 40-60%, while cloud migration reduces operational costs by 25-35% and improves system scalability by 200-300%. The study identifies critical success factors including phased migration strategies, data integration protocols, and organizational change management. This research contributes to the understanding of ERP modernization frameworks and provides practical guidelines for enterprises undertaking digital transformation initiatives.

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Published

28.02.2022

How to Cite

Chandra Jaiswal. (2022). AI and Cloud-Driven Approaches for Modernizing Traditional ERP Systems. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 218–225. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7869

Issue

Vol. 10 No. 1 (2022)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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