Evaluating the ROI of Embedded AI Capabilities in Oracle Fusion ERP
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I1P112Keywords:
ROI, Oracle Fusion ERP, Embedded AI, Predictive Analytics, Automation, Case Studies, Financial Metrics, ERP EfficiencyAbstract
Over the past couple of years, Enterprise Resource Planning (ERP) systems have acquired new forms and capabilities, as they incorporate innovative technologies like Artificial Intelligence (AI) to improve business processes and decision-making. Oracle Fusion ERP is leading the front in this revolution, as it has built-in AI capabilities that make it promising in terms of automation, predictive analytics, and learner operations. The purpose of this paper is to assess the Return on Investment (ROI) of using AI in Oracle Fusion ERP integration. Drawing on real-world examples in the form of case studies, we will examine key financial indicators, including cost reduction, income generation, operational efficiency, and user productivity. Firms such as Vodafone, Western Digital, and Cummins have already implemented Oracle Fusion ERP with AI features and have registered significant positive changes. We have employed both qualitative and quantitative data analyses in our methodology, which involves surveys, interviews, and a review of financial data. Notable results indicate that the ROI within 18-24 months is significant, driven by a decrease in manual transactions, improved compliance, and intelligent forecasting. We are also giving problems that have been encountered in the implementation of AI and how returns can be maximized
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