European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Smart Supply Chain Visibility and Predictive Logistics: A Framework for Modern Enterprise Management

Abstract

Smart supply chain visibility and predictive logistics represent a transformative framework for modern enterprise management, addressing the escalating complexities of global trade networks and heightened customer expectations. By integrating Internet of Things (IoT) technologies, real-time tracking systems, and artificial intelligence-based demand forecasting with SAP S/4HANA and external logistics providers, organizations can transition from reactive to proactive operations. The comprehensive framework leverages SAP Business Technology Platform services, including SAP IoT Services, SAP Event Mesh, SAP AI Core, and SAP Integration Suite to create a cohesive ecosystem enabling end-to-end visibility. The implementation follows a systematic workflow transforming raw data into actionable intelligence through acquisition, event processing, predictive analysis, cross-system synchronization, and continuous learning mechanisms. This transformation delivers substantial benefits across operational efficiency, service levels, inventory optimization, risk mitigation, and sustainability dimensions. While implementation challenges related to data quality, integration complexity, change management, security concerns, and ROI justification exist, organizations can maximize success through thoughtful planning and strategic approaches, ultimately achieving competitive advantages through enhanced resilience, agility, and customer responsiveness.

 

Keywords: Artificial Intelligence, Digital Transformation, IoT integration, Supply chain visibility, predictive logistics

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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