AI-Enhanced Robotic Process Automation for Streamlined SAP Variant Configuration in Supply Chain Operations

Authors

  • Wei Zhang Department of Computer Science, Jiangsu Institute of Technology, Zhenjiang, China Author
  • Li Chen Department of Business Administration, Jiangsu Institute of Technology, Zhenjiang, China Author

DOI:

https://doi.org/10.5281/

Keywords:

Artificial Intelligence, Robotic Process Automation, SAP Variant Configuration, Supply Chain Operations

Abstract

In today's fast-paced supply chain environment, the complexity of managing variant configurations in SAP systems poses significant challenges. This paper explores the integration of Artificial Intelligence (AI) with Robotic Process Automation (RPA) to enhance SAP variant configuration processes. By automating repetitive tasks and utilizing machine learning algorithms to optimize decision-making, organizations can achieve greater efficiency and accuracy in supply chain operations. Our findings demonstrate that AI-enhanced RPA can significantly reduce processing times, minimize errors, and improve overall operational agility, thereby enabling companies to respond swiftly to market demands.

References

[1] H. M. Chotaliya, "Artificial intelligence and its use cases in procurement," Technische Hochschule Ingolstadt, 2024.

[2] P. Y. N. Hoang, "Analysis of Robotic Process Automation Adaptation in the Purchasing Process," 2021.

[3] J. Viswanathan, "Impact of SAP S_4 HANA Advanced Variant Configuration," 2024.

[4] V. Sharma, A. Khang, P. Hiwarkar, and B. Jadhav, "Robotic Process Automation Applications in Data Management," in AI-Centric Modeling and Analytics: CRC Press, pp. 238-259.

[5] Ά. Αυλιώτης, "Business process management and robotic process automation: early deployment of a combined approach."

[6] S. Mathrani, "Enhancing production agility using enterprise systems," Knowledge Management Research & Practice, vol. 20, no. 1, pp. 91-103, 2022.

[7] J. Viswanathan, "Artificial Intelligence: Transforming the Future of Retail."

[8] E. Lafuente and J. M. Sallán, "Digitally powered solution delivery: The use of IoT and AI for transitioning towards a solution business model," International Journal of Production Economics, p. 109383, 2024.

[9] B. I. Transformed and R. Kumar, "Machine Learning and Cognition in Enterprises."

[10] M. Neupane, "ARTIFICIAL INTELLIGENCE IN STRATEGIC SOURCING," Lincoln University College, 2023.

Downloads

Published

2024-09-25