Implementing AI in SAP GTS for Symmetric Trade Analytics and Compliance
DOI:
https://doi.org/10.18034/ajtp.v11i1.733Keywords:
Artificial Intelligence (AI), SAP Global Trade Services (GTS), Symmetric Trade Analytics, Trade Compliance, Natural Language Processing (NLP), Risk ManagementAbstract
SAP Global Trade Services (GTS) uses AI to improve symmetric trade analytics and compliance management. The main goal is to examine how machine learning, natural language processing, and predictive analytics may enhance global trade compliance accuracy, flexibility, and efficiency. Secondary data, including peer-reviewed academic publications, industry reports, and case studies, is analyzed to assess SAP GTS AI integration. Significant results show that AI automates risk assessments, detects abnormalities, and adapts to real-time regulatory changes, improving compliance. AI's symmetric trade analytics gives enterprises data-driven insights across numerous trade operations, boosting decision-making and lowering compliance risks. Data quality, model interpretability, and data security still hinder AI adoption. The paper emphasizes robust data governance frameworks, explainable AI models, and safe data management to address these restrictions. Regulatory organizations should adopt AI audits, transparency, and data protection norms to guarantee responsible AI usage in global trade compliance. SAP GTS may become a strategic, AI-powered tool that improves trade efficiency, reduces compliance risks, and helps firms navigate international trade rules by tackling these difficulties and policy concerns.
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Copyright (c) 2024 Aditya Manikyala; Rajasekhar Reddy Talla; Pavan Kumar Gade; Satya Surya MKLG Gudimetla Naga Venkata
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