Cloud-Native SAP and AI Integration with Blockchain: Enhancing Supply Chain Transparency using Convolutional Neural Networks
DOI:
https://doi.org/10.15680/IJCTECE.2024.0705002Keywords:
Cloud-native SAP, Artificial Intelligence, Blockchain, Supply chain transparency, Convolutional Neural Networks (CNN), Anomaly detection, Data integrity, Predictive analytics, Digital transformation, Smart logistics, Decentralized systems, Real-time monitoring, Secure data managementAbstract
The convergence of cloud-native SAP systems, Artificial Intelligence (AI), and blockchain technology is redefining transparency, trust, and traceability in modern supply chains. This paper presents a unified framework that integrates SAP’s cloud-native architecture with AI-driven analytics and blockchain-based data security, employing Convolutional Neural Networks (CNNs) for intelligent visual and pattern-based anomaly detection. The proposed system leverages CNNs to analyze real-time supply chain images, sensor data, and digital records, enabling automated identification of inconsistencies, counterfeit products, and irregular logistics patterns. Blockchain integration ensures immutable transaction records and decentralized verification of supply chain events, while SAP’s cloud infrastructure facilitates scalable, seamless interoperability across stakeholders. Experimental analysis demonstrates improved data integrity, real-time visibility, and predictive accuracy, resulting in enhanced supply chain transparency and accountability. The study concludes that combining CNN-powered AI analytics with blockchain-secured SAP workflows establishes a robust foundation for next-generation, intelligent, and auditable supply chain ecosystems.
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