Vehicle Insurance Recommendation System
DOI:
https://doi.org/10.32628/CSEIT228682Keywords:
Automotive Insurance, Recommendation System, Machine Learning.Abstract
Many automotive insurance providers are looking to improve their service for their customers, businesses are starting to adapt and implement machine learning and artificial intelligence methods of analysing data for performance, as a result giving better service for their customers from a better understanding of their needs. The main focus of this project therefore is targeted at automotive insurance providers looking to implement machine learning into their business, the project would also be beneficial to stakeholders and those who are looking to apply machine learning to improve their business. We propose a recommendation system built for a better customers experience, by suggesting them the most appropriate cover in time. The requirement for this system is to perform a more efficient up-selling than classic marketing campaigns.
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