Transforming financial operations: Integrating SAP OpenText VIM, AI-Powered OCR, and RPA for advanced invoice processing and junk document elimination

Charabuddi, Ranadheer Reddy (2025) Transforming financial operations: Integrating SAP OpenText VIM, AI-Powered OCR, and RPA for advanced invoice processing and junk document elimination. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 828-836. ISSN 2582-8266

This article presents an integrated technological framework that addresses critical challenges in enterprise financial management through the convergence of SAP OpenText Vendor Invoice Management (VIM), Artificial Intelligence-powered Optical Character Recognition (AI OCR), and Robotic Process Automation (RPA). The solution tackles persistent issues including manual processing inefficiencies, high error rates, compliance risks, and the problematic processing of irrelevant documents. By orchestrating these advanced technologies, organizations can achieve streamlined invoice workflows, enhanced data extraction precision, automated verification processes, and complete elimination of junk document processing. The human-AI partnership remains central to this approach, with financial experts focusing on strategic decisions while automation handles routine transactions. This transformative model delivers substantial improvements in operational efficiency, processing speed, cost reduction, and compliance management, positioning enterprises for sustainable competitive advantage in financial operations.