Policyholder Behavioural Profiling and Dynamic Product Customisation: Machine Learning Frameworks for Personalised Insurance Offerings

Authors

  • Ricardo Garzón Professor of Industrial Engineering, Universidad de los Andes

Keywords:

policyholder behavioural profiling, dynamic product customisation, machine learning frameworks, personalised insurance offerings

Abstract

In today's world, it is unimaginable to think of personalization only in terms of music streaming platforms that automatically generate playlists. In contrast, customer requirements have drastically changed over the last few years. Consumers are increasingly seeking tailored solutions, whether in the e-commerce, lifestyle, or subscription industries. This also applies to insurance products. Artificial intelligence is fundamentally changing and shaping conventional insurance products.

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Published

31-12-2025

How to Cite

[1]
“Policyholder Behavioural Profiling and Dynamic Product Customisation: Machine Learning Frameworks for Personalised Insurance Offerings”, Cybersecurity & Net. Def. Research, vol. 5, no. 2, pp. 11–21, Dec. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/cndr/article/view/882