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The Comprehensive Evolution of ERP Systems: Classification, Financial Integration, and Future AI Integration

This version is not peer-reviewed.

Submitted:

02 February 2025

Posted:

04 February 2025

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Abstract
The evolution of ERP systems from rigid on-premise solutions to agile, cloud-native platforms has revolutionized organizational management. Today, ERP systems span diverse industries and functionalities, from financial management to supply chain optimization. This paper synthesizes the capabilities of prominent ERP systems—SAP, Oracle, MRI, iScala, PeopleSoft, JDE, Salesforce, and QuickBooks—highlighting their roles in financial operations and their readiness for AI-driven transformation. Additionally, this paper explores the application of ERP systems in emerging industries such as fintech and biopharma, where the integration of AI and ERP is becoming increasingly crucial for competitive advantage. Recent advancements in AI, such as the development of more sophisticated machine learning algorithms and natural language processing capabilities, are further enhancing the potential of ERP systems to drive business innovation and efficiency.
Keywords: 
ERP classification; SAP; Oracle; QuickBooks; AGI(Artificial General Intelligence); ASI(Artificial Super Intelligence); Financial management; AI integration; Cloud ERP; On-premise ERP; Supply chain management; Human capital management; Industry specialization; Scalability;SME (Small and Medium-sized Enterprises); Data accuracy; Risk mitigation; Compliance; Strategic decision support; Cross-module integration; Organizational efficiency; Predictive analytics; Scenario modeling; AGI-driven automation; ASI and global optimization; Autonomous decision-making; Adaptive workflows; Self-healing systems; Predictive governance; Hyper-personalization; Human-centric interfaces; Ecosystem-level integration; Interoperability; Data security; Workforce displacement; Bias in AI models; Ethical AGI; Transparent governance
Subject: 
Business, Economics and Management  -   Business and Management
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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