Authors : Venkata Ramana Reddy Bussu

Volume/Issue : Volume 9 - 2024, Issue 3 - March

Google Scholar : https://tinyurl.com/4mehber5

Scribd : https://tinyurl.com/yvvsrj34

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR644

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This article explores the transformative role of artificial intelligence (AI) and machine learning (ML) capabilities within SAP S/4HANA, a leading digital platform for enterprise resource planning (ERP). This article elucidates how AI and ML technologies embedded in SAP S/4HANA empower businesses to drive innovation, optimize operations, and gain actionable insights. From predictive analytics and intelligent automation to advanced decision support systems, SAP S/4HANA's AI and ML capabilities are revolutionizing the way organizations operate in today's fast-paced business landscape. SAP S/4HANA, a leading enterprise resource planning (ERP) platform, stands at the forefront of this digital transformation, offering a comprehensive suite of AI and ML capabilities designed to empower businesses to optimize operations, enhance decision-making, and unlock new growth opportunities. This article provides a succinct overview of the transformative role of AI and ML in SAP S/4HANA, highlighting key functionalities and their potential impact on business operations. SAP S/4HANA's AI and ML capabilities encompass a range of functionalities, including predictive analytics, intelligent automation, and decision support systems. Intelligent automation features, such as robotic process automation (RPA) and machine learning-based algorithms, automate manual tasks, reduce errors, and accelerate decision- making processes, thereby enhancing operational efficiency and agility. Moreover, SAP S/4HANA's decision support systems leverage real-time data insights to provide actionable recommendations to users across the organization, enabling organizations to make informed decisions and drive strategic initiatives. Through real- world examples and case studies, this article illustrates how organizations across industries are leveraging SAP S/4HANA's AI and ML capabilities to drive business transformation, streamline processes, and achieve measurable outcomes. This article aims to provide a comprehensive exploration of the AI and ML capabilities within SAP S/4HANA, examining their potential impact on business operations and outlining best practices for implementation and utilization. Through real-world examples, case studies, and expert insights, readers will gain a deeper understanding of how SAP S/4HANA's AI and ML functionalities can unlock new opportunities, drive innovation, and propel business growth.

Keywords : SAP S/4HANA, Digital Platform, Energy Industry, Real-Time Analytics, Artificial Intelligence, Machine Learning, Predictive Analytics, Intelligent Automation, Decision Support Systems, Chatbots.