Author
Abstract
The integration of Artificial Intelligence (AI) with JD Edwards EnterpriseOne (JDE E1) represents a transformative evolution in Enterprise Resource Planning (ERP) systems, fundamentally changing how organizations manage their business processes. This technical article explores the comprehensive impact of AI integration across various functional domains of JDE E1, examining both the technological requirements and organizational implications. It investigates core AI technologies enhancing JDE E1, including predictive analytics and machine learning implementations while analyzing the architectural considerations necessary for successful integration. The article delves into practical applications across financial operations, supply chain optimization, and manufacturing intelligence, providing insights into how AI transforms these critical business functions. It also addresses implementation considerations, emphasizing technical prerequisites and integration strategies essential for successful AI adoption. Furthermore, the article examines future trends in natural language processing, advanced automation, and cognitive services, offering organizations a roadmap for leveraging AI capabilities within their JDE E1 environments to achieve improved operational efficiency and competitive advantage.
Suggested Citation
Shyamlal Sama, 2025.
"AI Transformation in JD Edwards EnterpriseOne: A Technical Deep Dive,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 720-728, March.
Handle:
RePEc:jbh:ijsrcs:v11:y2025:i2:id:1143
DOI: 10.32628/CSEIT251112381
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112381
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