Optimizing Order-to-Cash Cycles Through Robotic Process Automation and Artificial Intelligence in SAP Environments

Authors

  • Anandakumar Sundaramoorthy Senior Product Manager, Microsoft, Antioch, CA - 94531, USA. Author

DOI:

https://doi.org/10.63519/IJCSERD_15_03_004

Keywords:

AI, SAP, Order-to-Cash, RPA

Abstract

This paper looks into the optimisation of Order-to-Cash (O2C) cycles in SAP environments by using Robotic Process Automation (RPA) and Artificial Intelligence (AI). It allows enterprises to automate manual work processes and improve forecasting which saves them time, reduces errors, improves cash flow visibility and has a stronger impact on cash flow through faster processing. Benefits, challenges and a strategic roadmap for intelligent O2C transformation are discussed in the study.

References

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Published

2025-05-09

How to Cite

Anandakumar Sundaramoorthy. (2025). Optimizing Order-to-Cash Cycles Through Robotic Process Automation and Artificial Intelligence in SAP Environments. International Journal of Computer Science and Engineering Research and Development (IJCSERD), 15(3), 22-33. https://doi.org/10.63519/IJCSERD_15_03_004