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Intelligent Marketing in Insurance: Framework for Optimization and Competitive Advantage
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Author(s): R. Veerasankararao (Vellore Institute of Technology, India), Shaiku Shahida Saheb (Vellore Institute of Technology, India)and Abdul Rahman Shaik (Prince Sattam Bin Abdulaziz University, Saudi Arabia)
Copyright: 2025
Pages: 36
Source title:
Strategic Blueprints for AI-Driven Marketing in the Digital Era
Source Author(s)/Editor(s): Rhytheema Dulloo (Hindustan Institute of Technology and Science, India), Anand Kurian (University of Exeter Business School, UK), Minja Bolesnikov (Swiss School of Business and Management, Switzerland), Ilse Struweg (University of Johannesburg, South Africa)and Kaliyan Mathiyazhagan (Thiagarajar School of Management, India)
DOI: 10.4018/979-8-3373-3897-2.ch003
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Abstract
This study examines how Artificial Intelligence (AI) transforms insurance marketing strategies through machine learning and predictive analytics. We investigate the shift from traditional approaches to AI-enabled systems that deliver personalized solutions and streamlined operations. The research develops and validates the AI-Powered Insurance Marketing Optimization Framework (AIMOF), integrating customer data analysis with dynamic recommendations and automated workflows. Our findings demonstrate that AI implementation improves cost efficiency and customer retention while creating competitive advantages through personalization and faster response times. The study addresses implementation challenges including data quality, system complexity, and regulatory compliance. This research provides strategic guidelines for insurance organizations leveraging AI in marketing operations while maintaining ethical considerations in an increasingly competitive marketplace.
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