Issue |
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
|
|
---|---|---|
Article Number | 05002 | |
Number of page(s) | 11 | |
Section | Emerging Technologies & Computing | |
DOI | https://doi.org/10.1051/itmconf/20257605002 | |
Published online | 25 March 2025 |
Cloud-Based Solutions for Scalable Enterprise Resource Planning Systems Benefits and Implementation Strategies
1 Director - Enterprise Systems, Certified Cloud Computing Architect from “The University of Texas at Austin”, TX, USA
2 Assistant Professor, Department of MBA, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India
3 AP/MBA, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
4 Associate Professor, Department of CSIT, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, India
5 Associate Professor & HOD, Department of Electronics and Communication Engineering, Study World College of Engineering, Coimbatore, Tamil Nadu, India
6 Assistant Professor, Department of EEE, New Prince Shri Bhavani College of Engineering and Technology Chennai, Tamil Nadu, India
skgooda@gmail.com
drpmohanrajmba@gmail.com
Venimba16@gmail.com
dr.aashishsinha@gmail.com
kannadhasan.ece@gmail.com
tamilkani.eee@npsbcet.edu.in
Cloud ERP A Business-Operation game changer Shall Organizations be looking to leverage the benefits of an efficient solution to manage their operations in a scalable | cost-effective | real time manner. Though various existing ERP solutions are available, they often confront vendor bias, insufficient empirical validation, security vulnerabilities, scarceness of scalability, and lack of cost benefit analysis. Methods To tackle these challenges, this study provides a granular outlook on the state of enterprise structure using an artificial intelligence driven analytics-based cloud framework to be known as the eagle eye framework of enterprisewide resource planning with the foundation of security and industry particular customization over Blockchain to identify the state of actors within the enterprise ecosystem to solve the existing challenges within the cloud-based ERP system (10). This study provides a comparative analysis of existing ERP solutions, and a dynamic implementation model can be used for each organizational scale and industry. It also includes a risk-mitigation framework secured systems, user adoption, and functionality to comply with global regulatory requirements. This model using predictive analytics helps enterprises to make decisions that help not just cut costs, but also power the enterprise efficiently. It was distressing to observe catalysts that used the same conventional ERP adoption playbooks rather than working with customers to discover an ERP paradigm that assisted organisations in growing sustainably along with market trends. In this work, a blockchain secured database management is explored and proposed as a building block in ERPs making it trust worthy ERP process. These findings are evidence that companies aligned with this successful cloud ERP model are able to lower operating costs, scale, and boost their cybersecurity score. This paper is an addition to the two fields of research in enterprise technology as it fills the gaps of currently existing implementation of ERP proponents’entrepreneurs. Focusing on gaining the competitive advantage, the study concluded that adapting the traditional ERP model gives organizations the capacity to face transforming circumstances, as the progressed ERP systems are different of the old model, based on systematic management based on historical results, of governance.
Key words: Cloud ERP / Scalable Enterprise Solutions / AI-Driven ERP / Blockchain Security / ERP Implementation Strategies / Risk Mitigation / Predictive Analytics
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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