AI-Driven Optimization of ERP Scalability through Cloud-Native DevOps: A Generative AI Framework for Automated Online Application Platforms
DOI:
https://doi.org/10.15662/IJRAI.2024.0706010Keywords:
AI-Driven ERP, Generative AI, Cloud-Native DevOps, Scalable Enterprise Systems, Automated Online Applications, Predictive Analytics, Workflow Orchestration, Continuous Integration and Delivery (CI/CD), Intelligent Automation, Self-Optimizing Software FrameworksAbstract
This paper introduces an AI-driven framework that leverages Generative AI and cloud-native DevOps principles to optimize the scalability, adaptability, and intelligence of Enterprise Resource Planning (ERP) systems. The proposed model integrates automated online application platforms with generative learning algorithms, enabling real-time code synthesis, workflow orchestration, and adaptive process optimization. Through the fusion of DevOps automation, predictive machine learning models, and self-improving generative agents, the framework enhances ERP performance across multi-cloud environments while ensuring continuous delivery and system resilience. A comprehensive performance evaluation demonstrates significant gains in deployment speed, scalability efficiency, and operational consistency compared to traditional ERP modernization approaches. This study highlights the transformative potential of Generative AI in DevOps-enabled ERP ecosystems, paving the way toward autonomous, self-optimizing enterprise platforms capable of sustaining digital innovation at scale.
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