AI-Supported Cross and UP Sales Tendency Analysis System for Insurance Companies

Abstract

Cross and up-selling models are sales models designed to deepen customers’ spending habits, segments and spending trends, and to increase the life span of the customer. Within the scope of the study, a software was created that presents all of the actionable value-added information production from raw data supported by artificial intelligence and machine learning in modular and automation form. Our study has enabled the rule-based customer base created with business knowledge to produce much more successful output with advanced analytical models such as k-means and apriori. With the technological infrastructure created with the big data infrastructure, an expanding infrastructure where voluminous data can be processed has been provided. Successful results were obtained by testing the outputs in Turkey's leading institutions.