1 American National Insurance Company, One Moody Plaza, Galveston, TX, USA.
2 Tractor Supply Company, 5401 Virginia Way, Brentwood, TN, USA.
Research Article
World Journal of Advanced Research and Reviews, 2022, 14(03), 762-769
Received on 19 March 2022; revised on 24 June 2022; accepted on 27 June 2022
In today’s fast-paced business environment, enterprises are increasingly relying on advanced technologies to optimize operations, streamline processes, and make data-driven decisions. Enterprise Resource Planning (ERP) systems, particularly SAP (Systems, Applications, and Products in Data Processing), have long been pivotal in managing core business functions. However, with the advent of Artificial Intelligence (AI), the potential of ERP systems, especially SAP, has expanded significantly. This paper explores the integration of AI into SAP ERP systems, demonstrating how AI enhances business performance through automation, predictive analytic s, and real-time decision-making capabilities. The study presents a literature review, a case study of an AI-powered SAP implementation, a comparative analysis of traditional and AI-integrated SAP systems, and a discussion of the benefits and challenges of such integration. The paper concludes by emphasizing the future of AI in ERP systems and its transformational potential for organizations.
SAP; Artificial Intelligence; ERP; Machine Learning; Automation; Predictive Analytics; Decision-Making; Data Integration; Business Intelligence; Artificial Intelligence (AI); SAP ERP systems; machine learning (ML); predictive analytics; robotic process automation (RPA); natural language processing (NLP); process automation; real-time data analysis; enterprise resource planning;
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Adarsh Vaid and Chetan Sharma. Leveraging SAP and Artificial Intelligence for optimized enterprise resource planning: enhancing efficiency, automation, and decision-making. World Journal of Advanced Research and Reviews, 2022, 14(3), 762-769. Article DOI: https://doi.org/10.30574/wjarr.2022.14.3.0276