Bollineni, Pavan Kumar (2025) Transforming global trade and supply chains with SAP and AI: Addressing discrepancies and enhancing efficiency. World Journal of Advanced Research and Reviews, 26 (1). pp. 1740-1747. ISSN 2581-9615
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.26.1.1124 |
Uncontrolled Keywords: | Artificial Intelligence; Supply Chain Optimization; Trade Compliance; Predictive Analytics; Digital Transformation |
Depositing User: | Editor WJARR |
Date Deposited: | 25 Jul 2025 14:54 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/1870 |