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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Transforming global trade and supply chains with SAP and AI: Addressing discrepancies and enhancing efficiency

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  • Transforming global trade and supply chains with SAP and AI: Addressing discrepancies and enhancing efficiency

Pavan Kumar Bollineni *

Blekinge Institute of Technology, Sweden.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 1740-1747

Article DOI: 10.30574/wjarr.2025.26.1.1124

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1124

Received on 26 February 2025; revised on 06 April 2025; accepted on 08 April 2025

This article explores how the integration of SAP's advanced solutions with artificial intelligence transforms global trade and supply chain management. It examines the challenges facing international commerce, including trade discrepancies, inefficiencies, and disruptions, while highlighting how SAP's platforms provide comprehensive visibility into supply chain operations. The discussion covers how AI-powered analytics identify anomalies in trade data, optimize logistics, ensure regulatory compliance, and enhance decision-making processes. By investigating both current applications and future possibilities, this article demonstrates how the SAP-AI partnership creates more transparent, efficient, and resilient global supply chains that can adapt to evolving trade landscapes and drive sustainable economic growth across international markets.

Artificial Intelligence; Supply Chain Optimization; Trade Compliance; Predictive Analytics; Digital Transformation

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1124.pdf

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Pavan Kumar Bollineni. Transforming global trade and supply chains with SAP and AI: Addressing discrepancies and enhancing efficiency. World Journal of Advanced Research and Reviews, 2025, 26(01), 1740-1747. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1124.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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