Ai-driven CRM systems in insurance: Personalization at scale
Year: 2024
Type: article
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.
Author: Julker Nain
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6930979680
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