Erp Systems Ai-powered Optimization Frameworks for Clouddriven Integration
Year: 2025
Type: article
Abstract: ERP systems are evolving vastly with the implementation of Artificial Intelligence (AI) and cloud computing. Inthis article, the future ERP is discussed through the examination of AI-optimized optimization platforms thatensure maximum system efficiency, security, and decision-making. Increasingly, companies are looking towardscloud-based models of ERP with the utilization of AI to automate processes, identify anomalies, and deliver realtime insights that enhance overall responsiveness in volatile markets. The research encompasses key concernssuch as data protection, interoperability, and scalability of the AI model, with advantages of AI-based ERP inpredictive analytics, process automation, and better management of resources. AI-based ERP solutions alloworganizations to attain increased operational efficiency, lower costs, and higher system resilience against cyberattacks. The study also investigates case studies that illustrate the actual impact of AI in ERP systems in sectorssuch as finance, healthcare, and supply chain management. Further, the article presents the significance of highspeed storage and multi-cloud strategies in facilitating AI-based ERP transformations. By tapping the potential ofAI, contemporary enterprises can realize unprecedented customization, automation, and strategic decisionmaking.
Author: Sreenivasa Rao Sola
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W6893482489
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