Sri Venkateswara University, Tirupati, Andhra Pradesh, India.
World Journal of Advanced Engineering Technology and Sciences, 2025, 17(02), 306–310
Article DOI: 10.30574/wjaets.2025.17.2.1426
Received on 16 September 2025; revised on 10 November 2025; accepted on 13 November 2025
The use of technology to help solve the troublesome workload of vendor invoices has been a driving force in enterprise resource planning activities that have additional considerations like improving accuracy and reducing the time needed to manage vendor invoices and that it helps eliminate the arduous work of preparing an audit-ready invoice. This paper explores how Optical Character Recognition (OCR) can be leveraged within SAP and OpenText Invoice Capture Center (ICC), along with the architecture, process flows, and empirical benefit of this adoption. Additional comparative evidence demonstrated an improvement in data accuracy, operational efficiency, and exception repudiation with a move to fully integrated intelligent automation versus manual or OCR-only workflows. Yet, despite these developments, the implementation complication and ROI justify the challenge it represents, which is still an ongoing challenge. This paper points out the research gaps identified and offers directions on which the intelligent and scalable invoice processing architectures can be advanced in the dynamic business environments.
SAP VIM; OpenText ICC; Optical Character Recognition (OCR); Invoice Automation; Document Intelligence; Enterprise Resource Planning; Accounts Payable; Procure-to-Pay
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Kamballi, Madhusudana. Automated Vendor Invoice Management Using SAP and OpenText ICC with OCR Integration. World Journal of Advanced Engineering Technology and Sciences, 2025, 17(02), 306-310. Article DOI: https://doi.org/10.30574/wjaets.2025.17.2.1426.