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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

AI-driven innovation in enterprise subscription platforms: A technical deep dive

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  • AI-driven innovation in enterprise subscription platforms: A technical deep dive

Kumar Chandan *

Adobe, USA.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2746–2755

Article DOI: 10.30574/wjaets.2025.15.2.0825

DOI url: https://doi.org/10.30574/wjaets.2025.15.2.0825

Received on 04 April 2025; revised on 27 May 2025; accepted on 29 May 2025

The integration of artificial intelligence in enterprise subscription platforms marks a pivotal evolution in how businesses manage and optimize their subscription services. From advanced personalization engines to intelligent customer segmentation, predictive analytics, and dynamic pricing systems, AI technologies are revolutionizing every aspect of subscription management. These innovations enable organizations to deliver hyper-personalized experiences, reduce operational costs, and enhance customer satisfaction through automated operations and real-time decision-making capabilities. By leveraging sophisticated machine learning algorithms, natural language processing, and automated workflows, subscription platforms can now offer unprecedented levels of service quality while maintaining operational efficiency and scalability.

Ai-Driven Personalization; Customer Lifecycle Management; Predictive Analytics; Natural Language Processing; Dynamic Pricing Intelligence

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0825.pdf

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Kumar Chandan. AI-driven innovation in enterprise subscription platforms: A technical deep dive. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2746–2755. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0825.

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