AI-Driven Predictive Credit Management in SAP S/4HANA: A Quantitative Analysis of Implementation Benefits

Authors

  • Sateesh Rao Pala

Keywords:

Predictive Credit Management, Artificial Intelligence, Machine Learning, Financial Risk Assessment, Enterprise Resource Planning

Abstract

The adoption of artificial intelligence and machine learning functionality in enterprise credit managementsystems is a paradigm shift as compared to the standard reactive methods and predictive models, which are more effective

References

Stefan Avdjiev et al., "Rapid Credit Growth and International Credit: Challenges for Asia," SSRN,

[Online]. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2039311

Downloads

Published

2025-11-24

How to Cite

Sateesh Rao Pala. (2025). AI-Driven Predictive Credit Management in SAP S/4HANA: A Quantitative Analysis of Implementation Benefits. Journal of Computational Analysis and Applications (JoCAAA), 34(11), 638–647. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4206

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.