Jul 2026· World Journal of Advanced Engineering Technology and Sciences· Vol 20, pp. 037-048· 0 citations
TL;DR
This review discusses integration frameworks that integrate CRM and ERP in near real time with particular focus on architectural patterns, semantic alignment, process orchestration, governance controls and performance implications.
Abstract
The combination of customer relationship management (CRM) and enterprise resource planning (ERP) has shifted from a back-office interoperability issue to a strategic requirement for real-time revenue operations. Revenue execution now depends upon the continuous integration of lead qualification, quoting, order capture, contract administration, invoicing, collections, renewals and service-led expansion. Revenue leakage, forecast distortion, and poor operational accountability are caused by fragmented data models, inconsistent transaction ownership, and slow synchronization within this environment. This review discusses integration frameworks that integrate CRM and ERP in near real time with particular focus on architectural patterns, semantic alignment, process orchestration, governance controls and performance implications. The literature suggests that the quality of integration is not dependent on the raw connectivity but rather designed event flows, canonical business objects, exception management and stewardship structures. The review also finds that the scholarly base remains fragmented as there is little direct peer-reviewed research concerning the revenue operations with an evidence base scattered within the enterprise systems, process management, data governance and digital platform research. The field requires stronger conceptual consolidation, comparative empirical studies, and better measurement of revenue-operational outcomes across integration designs.
The findings suggest that the use of common journal architectures can mitigate opportunities for data redundancy and the need for reconciliation, as well as contribute to a more timely production of financial reports.
Fazle Hakeem Ghory· International Journal of Ada...· 0 citations
The literature lacks a robust treatment of revenue as an end-to-end enterprise system, provides insufficient longitudinal evidence, and shows weak integration between pricing models and operational execution, and governance models for accountable algorithmic revenue decisions also remain underdeveloped.
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A Data-Driven Operations Synchronization Stack is proposed that links operational data capture, semantic and IT/OT interoperability, analytics-supported decision-making, closed-loop synchronization and operational or financial value capture in high-throughput manufacturing contexts.
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