Author
Abstract
The integration of artificial intelligence with enterprise resource planning systems has revolutionized accounts payable processes, particularly in invoice automation. Modern organizations are increasingly adopting AI-powered solutions to streamline their financial operations, reduce manual intervention, and enhance accuracy in invoice processing. These implementations leverage advanced technologies such as machine learning, optical character recognition, and predictive analytics to transform traditional manual processes into efficient automated workflows. The transformation extends beyond mere automation, incorporating intelligent data extraction, validation, and matching capabilities while providing real-time financial insights and cash flow optimization. Organizations implementing these solutions experience substantial improvements in processing efficiency, cost reduction, and vendor relationship management. The implementation considerations encompass both technical aspects of system integration and organizational change management, leading to measurable benefits in both quantitative performance metrics and qualitative operational improvements. As technology continues to evolve, the integration of blockchain and advanced AI capabilities promises to further enhance invoice processing capabilities, setting new standards for financial operations management.
Suggested Citation
Koti Reddy Onteddu, 2025.
"AI-Powered Invoice Automation in ERP Systems: Revolutionizing Accounts Payable,"
Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(5), pages 588-597, May.
Handle:
RePEc:alk:jcsts0:v:7:y:2025:i:5:id:9844
DOI: 10.32996/jcsts.2025.7.5.64
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