Predictive Analytics In S/4 Hana: A Framework For Ai-Driven Enterprise Resource Planning

Abstract

This research focuses on predictive analytics integrations in S/4 HANA for AI-driven enterprise resource planning. Predictive analytics in SAP S/4HANA is a functionality that uses statistical and machine learning techniques to interpret data and anticipate trends and future events. Predictive analytics help companies make data-driven decisions and develop their outcomes. Within the eco-system of SAP S/4HANA, PA is an add-on feature and a primary element that transforms data into proactive insights. Thus, AI-powered systems automate regular tasks, improve decision- making and create contemporary forecasting and data analytics. This research utilised both secondary qualitative and quantitative methods, with journals-articles, case study examples statistical websites, and others. Case study examples include Coca-Cola, Siemens AG, and Adidas, with measures such as the accuracy of predictions, operational efficiency, ROI, and user adaptation rate. Moreover, this application allows companies to handle large enterprise information stores, integrating predictive frameworks directly into operational systems.
Index Terms- SAP S/4HANA, AI, ML, Predictive Analytics, AI Integration, ERP