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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI-powered CRM and ERP systems: Transforming business operations through smart technology

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  • AI-powered CRM and ERP systems: Transforming business operations through smart technology

Siva Prasad Sunkara *

Microsoft Corporation, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 4199-4209

Article DOI: 10.30574/wjarr.2025.26.1.1499

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1499

Received on 18 March 2025; revised on 23 April 2025; accepted on 26 April 2025

This comprehensive article examines the transformative impact of Artificial Intelligence on Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems in modern business environments. It demonstrates how AI technologies serve as intelligent assistants that enhance traditional business management platforms, enabling organizations to transition from reactive to predictive operational models. The article provides a thorough analysis of AI's distinct applications in CRM for customer behavior prediction and personalization, alongside its role in ERP for operational efficiency and resource optimization. Through detailed demonstration of implementation strategies, technological foundations, and real-world applications, this article offers valuable insights for business leaders seeking to leverage AI-enhanced systems to drive sustainable competitive advantage and operational excellence in an increasingly data-driven business landscape. 

Artificial Intelligence Integration; Predictive Business Management; Customer Experience Personalization; Operational Process Optimization; Intelligent Decision Support

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1499.pdf

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Siva Prasad Sunkara. AI-powered CRM and ERP systems: Transforming business operations through smart technology. World Journal of Advanced Research and Reviews, 2025, 26(1), 4199-4209. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1499

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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