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United States | Information Technology | Volume 14 Issue 10, October 2025 | Pages: 1463 - 1469
AI-Enhanced EDI for Proactive Supply Chain Management
Abstract: In today's volatile economic landscape, supply chains must evolve from reactive data exchanges to intelligent, predictive systems. This study explores the integration of Artificial Intelligence (AI) into Electronic Data Interchange (EDI), transforming it into a proactive decision-making tool. By leveraging real-time and historical data, AI-enhanced EDI enables disruption prediction, automated exception handling, and optimized logistics. The paper outlines implementation strategies, key technologies, and practical outcomes supported by case studies, offering a strategic framework to shift from static automation to intelligent orchestration in supply chain management.
Keywords: Artificial Intelligence (AI), Electronic Data Interchange (EDI), Supply chain Management, ERP Systems, Oracle
How to Cite?: Rajesh Gangula, "AI-Enhanced EDI for Proactive Supply Chain Management", Volume 14 Issue 10, October 2025, International Journal of Science and Research (IJSR), Pages: 1463-1469, https://www.ijsr.net/getabstract.php?paperid=SR251023063827, DOI: https://dx.doi.org/10.21275/SR251023063827