Citation:

Praveen Kumar Ilamurugan, 2025. "Advanced Strategies for Lifecycle Management for Contracts in Cloud-Based ERP Systems", ESP Journal of Engineering & Technology Advancements  5(4): 98-103.

Abstract:

The most recent ideas in the Contract Lifecycle Management (CLM) of cloud-based Enterprise Resource Planning (ERP), and their radical use in other industries, will be discussed in the paper. The dynamic, scalable, intelligent systems also exist in ERP cloud providers, and they can be applied to support the contract creation, execution, and compliance process. Such systems would make the process more transparent, reduce risks, and improve efficiency by combining Artificial Intelligence (AI) with Advanced Planning and Scheduling (APS) and customer-oriented contracting processes. The construction, manufacturing, and oil and gas industries are all under consideration, and one can refer to such innovations as predictive analytics, smart contracts, and integration of the Internet of Things (IoT). Moreover, the paper addresses change management and the increased interdependence of Product Lifecycle Management (PLM) and CLM, as well as the organizational impact. The new generation of contract governance solutions is conceivably cloud ERPs enriched with AI-enhanced services and real-time data synchronization.

References:

[1] Chen, Y., Wang, M., & Li, L. (2019, May). A framework for the contract management system in cloud-based ERP for SMEs in the construction industry. In International Conference on Construction and Real Estate Management 2019 (pp. 1-11). Reston, VA: American Society of Civil Engineers.

[2] Mogali, S. K. (2025, May). AI-Powered Cloud-Based ERP Solutions Transforming Product Lifecycle Management in the Manufacturing Sector. In 2025 Global Conference in Emerging Technology (GINOTECH) (pp. 1-7). IEEE.

[3] Omoegun, G., Fiemotongha, J. E., Omisola, J. O., Okenwa, O. K., & Onaghinor, O. (2025). Advances in Contract Lifecycle Management Using Digital Tools in Oil and Gas Infrastructure Projects.

[4] Demi, S., & Haddara, M. (2018). Do cloud ERP systems retire? An ERP lifecycle perspective. Procedia computer science, 138, 587-594.

[5] Sharma, R., & Keswani, B. (2013). Study & analysis of cloud based ERP services. International Journal of Mechatronics, Electrical and Computer Technology, 3(9), 375-396.

[6] Iqbal, U., Uppström, E., & Juell-Skielse, G. (2012). Cloud ERP implementation challenges: A study based on ERP life cycle model. Advances in Enterprise Information Systems II, 2(2), 389.

[7] Yathiraju, N. (2022). Investigating the use of an artificial intelligence model in an ERP cloud-based system. International Journal of Electrical, Electronics and Computers, 7(2), 1-26.

[8] Wang, L. C., Chen, C. C., Liu, J. L., & Chu, P. C. (2021). Framework and deployment of a cloud-based advanced planning and scheduling system. Robotics and Computer-Integrated Manufacturing, 70, 102088.

[9] Kim, H. S., Oh, D. S., & Kim, S. H. (2023). Cloud-based ERP construction process framework in the customer’s perspective. Computer Science and Information Systems, 20(1), 25-50.

[10] Berglund, E. (2023). The organizational effects when integrating a cloud-based ERP system.

[11] Holligan, C., Hargaden, V., & Papakostas, N. (2017, June). Product lifecycle management and digital manufacturing technologies in the era of cloud computing. In 2017 International conference on engineering, technology and innovation (ICE/ITMC) (pp. 909-918). IEEE.

Keywords:

Cloud ERP, Lifecycle Management for Contracts, Artificial Intelligence, Digital Transformation.