Abstract
The integration of Artificial Intelligence (AI) and Machine Learning (ML) with Systems, Applications, and Products in Data Processing (SAP) technologies is transforming enterprise management by enhancing decision-making systems and operational efficiency. This paper explores how AI and ML algorithms can be implemented in SAP platforms to automate and optimize key business processes. By leveraging SAP-powered data analytics, businesses can gain deeper insights into performance metrics, empowering organizations to make data-driven decisions that improve operational outcomes. AI's role in enhancing Enterprise Service Management (ESM) tools is also examined, focusing on resource management, service operations, and regulatory compliance in large enterprises. Further, the paper delves into how AI and data analytics improve customer relationship management (CRM) and supply chain management (SCM) within SAP frameworks, ensuring seamless operations and personalized customer interactions. Through case studies, we demonstrate how AI solutions integrated with SAP ecosystems have enabled enterprises to optimize both strategic decision-making and operational workflows. By automating routine tasks, identifying key business trends, and predicting outcomes, AI-driven SAP systems offer a competitive advantage, increasing efficiency and agility in ever-changing market conditions. The paper concludes by highlighting best practices for leveraging AI in SAP systems for advanced enterprise management, ensuring businesses can effectively harness the power of data and technology to drive performance, sustainability, and growth.
Cite
CITATION STYLE
Antwi, B. O., & Avickson, E. K. (2024). Integrating Sap, AI, And Data Analytics for Advanced Enterprise Management. International Journal of Research Publication and Reviews, 5(10), 621–636. https://doi.org/10.55248/gengpi.5.1024.2722
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