AI AND BIG DATA ANALYTICS IN CRM-ERP: A ROADMAP FOR SMARTER BUSINESS STRATEGIES

The integration of Artificial Intelligence (AI) and Big Data Analytics into Customer Relationship Management (CRM) within Enterprise Resource Planning (ERP) systems is transforming business strategies. This paper explores how AI-driven analytics enhance CRM-ERP capabilities, leading to smarter decision-making, predictive insights, and improved customer engagement. By analysing various AI techniques such as machine learning, natural language processing, and predictive analytics, this study outlines the benefits, challenges, and future potential of AI in CRM-ERP systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-20
DOI
https://doi.org/10.5281/zenodo.14849758
Primary Topic
ERP Systems Implementation and Impact
Type
article
Field-Weighted Citation Impact
0.00
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article

AI AND BIG DATA ANALYTICS IN CRM-ERP: A ROADMAP FOR SMARTER BUSINESS STRATEGIES

Zenodo (CERN European Organization for Nuclear Research)
ERP Systems Implementation and Impact
article

AI AND BIG DATA ANALYTICS IN CRM-ERP: A ROADMAP FOR SMARTER BUSINESS STRATEGIES

article en

Abstract

The integration of Artificial Intelligence (AI) and Big Data Analytics into Customer Relationship Management (CRM) within Enterprise Resource Planning (ERP) systems is transforming business strategies. This paper explores how AI-driven analytics enhance CRM-ERP capabilities, leading to smarter decision-making, predictive insights, and improved customer engagement. By analysing various AI techniques such as machine learning, natural language processing, and predictive analytics, this study outlines the benefits, challenges, and future potential of AI in CRM-ERP systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 42%
ERP Systems Implementation and Impact
DOIOpen Access PDFOpenAlex
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AI AND BIG DATA ANALYTICS IN CRM-ERP: A ROADMAP FOR SMARTER BUSINESS STRATEGIES · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS