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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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AI-powered CRM and ERP systems: Transforming business operations through smart technology

Authors: Sunkara, Siva Prasad;

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

Abstract

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.

Related Organizations
Keywords

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

  • BIP!
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    selected citations
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    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).
    2
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
2
Top 10%
Average
Average
Green
gold