Leveraging Sap Joule AI for Autonomous Business Process Optimization In 2025

Sankar Thambireddy (), Venkata Ramana Reddy Bussu () and Arunkumar Pasumarthi ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2025, vol. 8, issue 1, 241-257

Abstract: With a fast-changing digital environment and an added desire among businesses to achieve efficient operations and reduce costs, artificial intelligence (AI) is becoming a necessary component within enterprise resource planning (ERP) systems. Encompassing an innovative solution of SAP Joule AI, the possibility of an autonomous system optimization of business processes is given due to machine learning, predictive analytics, and real-time data processing. This paper discusses how SAP Joule AI could change business processes in various industries in 2025, especially its ability to automate business and decision-making processes and improve operational efficiency. An in-depth analysis of its technological base, the implementation approaches, and the expected financial implications for the business, this paper presents a usable perspective of how SAP Joule AI will transform the future of enterprise systems. Reading the case studies and investigating the new trends offers practical knowledge to businesses that need to remain competitive in an environment that is getting more AI-driven.

Keywords: SAP Joule AI; Autonomous Business Process Optimization; Predictive Analytics in ERP; Machine Learning in Business Automation; AI-driven Operational Efficiency; Digital Transformation in Enterprise Systems (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/382 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:8:y:2025:i:1:p:241-257:id:382

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().