AI-Driven SAP Finance on the Cloud: Automated Anomaly Detection Platform for Supply Chain Cost Control and Risk Management
DOI:
https://doi.org/10.15662/IJRAI.2024.0706004Keywords:
AI-powered finance, SAP, Supply chain cost efficiency, Risk reduction, Anomaly detection, Machine learning, Deep learning, Predictive analytics, Financial monitoring, Data securityAbstract
This paper presents AI-powered SAP finance solutions designed to enhance supply chain cost efficiency and reduce operational risks through advanced anomaly detection techniques. Modern supply chains generate complex financial and operational data that can harbor inconsistencies, fraud, or inefficiencies. By integrating machine learning (ML) and deep learning (DL) models within SAP finance modules, the system identifies unusual patterns in transactions, procurement, and inventory costs, enabling proactive intervention and optimized financial decision-making. Privacy-preserving and secure data handling mechanisms ensure compliance with regulatory standards while maintaining data integrity. Experimental evaluations demonstrate that AI-driven anomaly detection improves cost monitoring, risk mitigation, and operational transparency, supporting strategic planning and efficient resource allocation. This study highlights the transformative potential of AI integration in SAP finance ecosystems for resilient, efficient, and data-driven supply chain management.
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