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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

The Intelligent Enterprise: A Technical Examination of AI-Driven Analytics in SAP S/4HANA Environments

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  • The Intelligent Enterprise: A Technical Examination of AI-Driven Analytics in SAP S/4HANA Environments

Siva Reddy Pulluru *

Orora Packaging Solutions, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 4421-4429

Article DOI: 10.30574/wjarr.2025.26.2.2117

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.2117

Received on 20 April 2025; revised on 27 May 2025; accepted on 30 May 2025

The integration of artificial intelligence into SAP ERP systems heralds a fundamental transformation in enterprise resource planning, elevating these platforms from traditional transactional engines to sophisticated decision support systems. This technical examination explores how SAP's AI-driven analytics capabilities are redefining core business processes through predictive insights, cognitive automation, and intelligent decision frameworks. By leveraging SAP's comprehensive AI technology stack—including SAP AI Core, Joule, and Analytics Cloud—organizations can implement self-optimizing supply chains, autonomous financial operations, and hyper-personalized customer engagement models. The article provides a structured implementation methodology addressing data architecture considerations, security frameworks, and change management strategies essential for successful AI adoption. As SAP's ecosystem continues to evolve, enterprises that strategically embrace these advanced capabilities will achieve unprecedented operational agility and competitive differentiation in an increasingly complex business environment.

Artificial Intelligence; SAP S/4HANA; Predictive Analytics; Intelligent Automation; Cognitive ERP

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-2117.pdf

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Siva Reddy Pulluru. The Intelligent Enterprise: A Technical Examination of AI-Driven Analytics in SAP S/4HANA Environments. World Journal of Advanced Research and Reviews, 2025, 26(2), 4421-4429. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.2117

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