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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17285569
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Genetic and phenotypic traits in livestock
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Microsoft (United States) (US)
Openalex Percentile: Top 35%
Genetic and phenotypic traits in livestock
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