Intelligent SAP Dashboards Integrating AI, ML, and AR-VR for Carbon Management, Anomaly Detection, and Secure Compliance
DOI:
https://doi.org/10.15662/0xkkk647Keywords:
AI-powered SAP dashboards, Machine learning, AR-VR visualization, Carbon management, Anomaly detection, Compliance auditing, Sustainability analytics, Blockchain security, Predictive analytics, Real-time monitoring, Cloud integration, Enterprise automationAbstract
This paper presents an intelligent SAP dashboard framework that leverages Artificial Intelligence (AI), Machine Learning (ML), and Augmented and Virtual Reality (AR-VR) technologies to enhance enterprise sustainability and operational resilience. The proposed system enables real-time carbon footprint tracking, predictive anomaly detection, and automated compliance auditing across business operations. By integrating AI-driven analytics with SAP modules, the solution dynamically optimizes resource utilization and emission monitoring. Machine learning models identify irregularities in energy consumption and supply chain processes, while AR-VR interfaces offer immersive visualization for decision-makers to interact with environmental data and compliance reports intuitively. The framework also ensures data security and regulatory alignment through blockchain-based audit trails and encrypted cloud environments. Experimental evaluations demonstrate improved transparency, efficiency, and responsiveness in corporate sustainability reporting and compliance management. This convergence of AI, ML, and AR-VR within SAP represents a transformative step toward intelligent, secure, and sustainable enterprise ecosystems.
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