Ramya Ramachandran1, Ashvini Byri2, Ashish Kumar3, Dr Satendra Pal Singh4, Om Goel5
& Prof.(Dr) Punit Goel6
1University of Iowa, Thiruthangal Via, ivakasi – 626130, Tamil Nadu, India, ramyaramachandran.ai@gmail.com
2University of Southern California, Parel, Mumbai 400012, ashvinieb1@gmail.com
3Tufts University, DMW Colony Patiala, 147003, Punjab India, ashish.93nitj@gmail.com
4Gurukul Kangri University, Haridwar, Uttarakhand , spsingh.gkv@gmail.com
5Abes Engineering College Ghaziabad, omgoeldec2@gmail.com
6Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, drkumarpunitgoel@gmail.com
Abstract
In today’s rapidly evolving business landscape, organizations are increasingly turning to artificial intelligence (AI) to enhance efficiency and innovation in their operational processes. This paper explores the integration of AI technologies into Oracle Enterprise Resource Planning (ERP) systems for automated business process reengineering (BPR). By leveraging AI, organizations can analyze existing workflows, identify inefficiencies, and propose data-driven improvements. The study highlights various AI techniques, such as machine learning, natural language processing, and robotic process automation, that facilitate the reengineering process.
Key advantages of implementing AI in Oracle ERP systems include increased accuracy in data processing, reduced operational costs, and enhanced decision-making capabilities. The research examines case studies demonstrating successful AI-driven BPR initiatives, showcasing significant performance improvements and competitive advantages. Additionally, the paper discusses the challenges associated with integrating AI into existing ERP frameworks, such as data privacy concerns, change management, and the need for skilled personnel.
By providing a comprehensive overview of the strategies and tools for leveraging AI in Oracle ERP, this paper aims to equip organizations with the knowledge needed to undertake effective business process reengineering. The findings underscore the potential of AI to transform traditional business processes, enabling organizations to adapt to changing market dynamics and achieve sustainable growth. Ultimately, this research contributes to the ongoing discourse on digital transformation and highlights the critical role of AI in shaping the future of business operations.
Keywords:
Artificial Intelligence, Business Process Reengineering, Oracle ERP, Automation, Machine Learning, Data-Driven Decision Making, Robotic Process Automation, Digital Transformation, Operational Efficiency, Workflow Optimization.
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