Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
As businesses increasingly move to subscription-based models, traditional accounting practices for leases and
revenue recognition are being stretched beyond their limits. Managing dynamic contracts, modifications, and usage-based
pricing has become increasingly complex under standards like ASC 606 and ASC 842. This review explores how
organizations are adopting automation, AI, and event-driven logic to streamline these processes. By analyzing system
architectures, leading technologies, real-world performance metrics, and future innovations, this article provides a
practical guide for finance professionals, auditors, and ERP architects. It concludes that automation is not just an
operational efficiency but a strategic enabler of agility, transparency, and compliance in today’s finance landscape.
Keywords:
Lease Accounting, Revenue Recognition, Subscription Models, ERP Automation, ASC 606, ASC 842, Oracle RMCS, SAP RAR, AI in Accounting, Robotic Process Automation, Financial Compliance, Usage-Based Billing
Cite Article:
"Automating Lease Accounting and Revenue Recognition: Overcoming Challenges in Subscription-Based Models", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b291-b297, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508139.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator