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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Unified Payment Ecosystem Architecture (UPEA): A Comprehensive Framework for Modern Payment Processing

Authors: Satheesh Kumar Kumara Chinnaian;

Unified Payment Ecosystem Architecture (UPEA): A Comprehensive Framework for Modern Payment Processing

Abstract

The multiplication of payment instruments, including customary banking rails, card networks, and digital-native wallet infrastructure, creates a level of complexity in today's payment ecosystem like nothing else. Today's payment processing stack is designed mainly to optimize for these single-instrument flows, but it does not easily scale, economically account, automate compliance, and optimize revenue. This paper describes an enterprise payment platform model (Unified Payment Ecosystem Architecture—UPEA) that combines payment processing, fund movement orchestration, risk & compliance, settlement, billing, and financial operations together. It addresses the systemic and calculated pain points in payments (heterogeneous financial instruments, multiple settlement timelines, manual reconciliation workflows, and revenue leakage) through five foundational principles: canonical data abstraction, event-driven fund movement, inline risk & compliance enforcement, ledger-backed financial integrity, and continuous routing optimization. Through implementation patterns, quantitative benchmarks, and mathematical models of transaction routing, treasury liquidity optimization, and revenue assurance, the case study shows how a unified payment architecture can considerably lower processing costs, improve near real-time visibility to settlement data, ease the burden of preparing for audits, and improve merchant satisfaction through consistent processing behavior and predictable settlement timing. These properties further establish payment infrastructure as a financial operating system that is regulatory resilient and platform sustainable.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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