Published Paper Details:

Integrating Artificial Intelligence (AI) with SAP S/4HANA is examined here as a driver of smart manufacturing and intelligent enterprise management, culminating in a conceptual framework that links specific AI capabilities to SAP S/4HANA manufacturing modules. Adopting a secondary research design, the study synthesises evidence from peer-reviewed journal articles, conference proceedings, and industry reports on Artificial Intelligence, Industry 4.0, Enterprise Resource Planning (ERP) systems, and SAP S/4HANA, reviewed systematically to surface recurring themes and reported outcomes. Four themes emerge consistently across the literature: AI-driven production planning and scheduling, predictive maintenance, AI-enabled decision support, and AI-based supply chain and demand forecasting. Reported outcomes associated with AI-integrated SAP S/4HANA adoption include production efficiency gains of 25%-35%, downtime reductions of up to 30% through predictive maintenance, decision-making speed improvements of approximately 40%, and inventory optimisation gains of 20%-25%. These findings inform a proposed conceptual framework mapping AI application onto four core SAP S/4HANA modules: Production Planning, Quality Management, Plant Maintenance, and Supply Chain Management. Where prior literature treats AI and SAP S/4HANA largely as separate streams, the present study stands among the first to consolidate the available evidence into a single, structured framework linking specific AI capabilities to specific SAP S/4HANA manufacturing functions, giving organisations a practical reference point for planning AI-led ERP transformation. Being literature-based, the study synthesises findings already published rather than primary data, and the proposed framework awaits empirical validation; future work through case studies or practitioner surveys would help establish its practical value.