Real-Time Reconciliation Systems: Transforming Transaction Verification in Global Payment Networks

Traditional reconciliation processes in global payment systems rely on end-of-day batch processing, creating significant delays between transaction execution and verification. Real-time reconciliation represents a paradigm shift that enables instantaneous verification of payment events as they occur, dramatically reducing the time gap between transaction processing and error detection. Event streaming platforms serve as the technological foundation for these systems, capturing and processing payment data including transaction identifiers, amounts, timestamps, and counterparty information in real-time. Reconciliation engines continuously compare incoming payment events against settlement files, authorization logs, and clearing records, enabling immediate identification of discrepancies such as missing payments, duplicate transactions, or settlement failures. Data lineage tracking provides comprehensive visibility into the complete lifecycle of each payment event, facilitating rapid troubleshooting and enhancing financial reporting accuracy. Global remittance companies and cross-border payment providers have successfully implemented these systems to verify fund delivery instantly, with automated alerts flagging discrepancies for immediate investigation. The implementation of real-time reconciliation eliminates traditional delays inherent in batch processing, reduces operational risk, and significantly improves the accuracy and reliability of financial transactions in modern payment ecosystems.

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-09-13
DOI
https://doi.org/10.22399/ijcesen.3890
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
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article

Real-Time Reconciliation Systems: Transforming Transaction Verification in Global Payment Networks

Jayaseelan Shanmugam
International Journal of Computational and Experimental Science and Engineering
Mobile Agent-Based Network Management
article

Real-Time Reconciliation Systems: Transforming Transaction Verification in Global Payment Networks

Jayaseelan Shanmugam
article en

Abstract

Traditional reconciliation processes in global payment systems rely on end-of-day batch processing, creating significant delays between transaction execution and verification. Real-time reconciliation represents a paradigm shift that enables instantaneous verification of payment events as they occur, dramatically reducing the time gap between transaction processing and error detection. Event streaming platforms serve as the technological foundation for these systems, capturing and processing payment data including transaction identifiers, amounts, timestamps, and counterparty information in real-time. Reconciliation engines continuously compare incoming payment events against settlement files, authorization logs, and clearing records, enabling immediate identification of discrepancies such as missing payments, duplicate transactions, or settlement failures. Data lineage tracking provides comprehensive visibility into the complete lifecycle of each payment event, facilitating rapid troubleshooting and enhancing financial reporting accuracy. Global remittance companies and cross-border payment providers have successfully implemented these systems to verify fund delivery instantly, with automated alerts flagging discrepancies for immediate investigation. The implementation of real-time reconciliation eliminates traditional delays inherent in batch processing, reduces operational risk, and significantly improves the accuracy and reliability of financial transactions in modern payment ecosystems.

International Journal of Computational and Experimental Science and EngineeringVol. 11(3)
Openalex Percentile: Top 71%
Mobile Agent-Based Network Management
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Real-Time Reconciliation Systems: Transforming Transaction Verification in Global Payment Networks — Jayaseelan Shanmugam · International Journal of Computational and Experimental Science and Engineering (2025) | TGRS Research Map | TGRS