Ai-driven CRM systems in insurance: Personalization at scale

The purpose of this research paper investigates artificial intelligence and data analytics phenomena which impact the financial services industry specifically in Customer Relationship Management systems implementation. This document examines contemporary CRM system development together with artificial intelligences in customer analytics and their practical and complex implementation challenges. This research explores how artificial intelligence enhances both personalization operations and customer information and decision-making through natural language processing and machine learning and predictive analysis study. The proof of AI-CRM system performance needs additional clarification based on current evidence from retail banking, wealth management businesses and insurance industries showing positive results. Data privacy aspects along with ethical AI utilization in finance and compliance requirements form essential points studied in the research. The research provides financial service providers with both present-time trends analysis and literature-validated guidelines about implementing AI into the CRM system to generate possibilities for future applications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.14908920
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
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article

Ai-driven CRM systems in insurance: Personalization at scale

Zenodo (CERN European Organization for Nuclear Research)
Customer churn and segmentation
article

Ai-driven CRM systems in insurance: Personalization at scale

article en

Abstract

The purpose of this research paper investigates artificial intelligence and data analytics phenomena which impact the financial services industry specifically in Customer Relationship Management systems implementation. This document examines contemporary CRM system development together with artificial intelligences in customer analytics and their practical and complex implementation challenges. This research explores how artificial intelligence enhances both personalization operations and customer information and decision-making through natural language processing and machine learning and predictive analysis study. The proof of AI-CRM system performance needs additional clarification based on current evidence from retail banking, wealth management businesses and insurance industries showing positive results. Data privacy aspects along with ethical AI utilization in finance and compliance requirements form essential points studied in the research. The research provides financial service providers with both present-time trends analysis and literature-validated guidelines about implementing AI into the CRM system to generate possibilities for future applications.

Zenodo (CERN European Organization for Nuclear Research)
AIR Worldwide (United Kingdom) (GB)
Openalex Percentile: Top 49%
Customer churn and segmentation
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Ai-driven CRM systems in insurance: Personalization at scale · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS