International Journal of Reciprocal Symmetry and Theoretical Physics

Peer Reviewed Article

Vol. 9 (2022)

Leveraging AI in SAP GTS for Enhanced Trade Compliance and Reciprocal Symmetry Analysis

Submitted
12 March 2022
Published
05-06-2022

Abstract

This research investigates how SAP Global Trade Services (GTS) may improve trade compliance and reciprocal symmetry analysis in global trade processes using AI. The project explores how AI-driven solutions may enhance real-time compliance monitoring, expedite documentation and categorization, discover trade data abnormalities, and optimize reciprocal symmetry analysis between trading partners. The secondary data-based research examines trade compliance AI literature and case studies on machine learning, natural language processing, and predictive analytics. Significant results show that SAP GTS AI integration improves trade compliance accuracy, efficiency, and proactivity. AI allows real-time anomaly detection, automatic categorization, and predictive analytics for risk reduction, enhancing compliance with changing rules and international trade agreements. AI-powered reciprocal symmetry analysis identifies trade disparities, promoting fair trade. The report also notes that high-quality data, model upgrades, and data protection regulations are required. Policies propose that corporations, regulators, and legislators work together to ethically employ AI in global commerce while addressing cybersecurity and data protection issues. Businesses benefit from SAP GTS' AI integration, which ensures compliance and operational efficiency in the increasingly complicated global trade sector.

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