To understand your customers behavioral patterns and risks associated with them, AI Superior offers a behavioral analysis package. Based on sophisticated machine learning models it allows you to get deeper insights into your customers behavior, segment them based on their assignment to a particular risk group and take relevant actions. A typical example of application of such an analysis is a driving style scoring where the behavior of every driver is analyzed in order to obtain driving profiles and risk of an accident associated with them. Such analysis requires telematic data obtained from an installed sensor or a smartphone. Alternatively,…
Case studies
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Insurance · Machine Learning
Telematics-based driver scoring for usage-based insurance
Per tripdriving score and personal discount
A deep learning model that analyses telematic data from drivers’ phones to detect driving behaviour, score each trip and calculate personalised discounts and safe-driving recommendations.
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Credit scoring model for an SME lending company
800+ features from 14 data sources
A machine learning model that predicts borrower default and fully automates underwriting, improving loan portfolio quality and cutting decision time from hours to a fraction of a minute.
Risk estimation model for a medical insurance company
Outperformed statistical baseline models
A neural network model, trained on five consecutive years of historical medical data, that estimates the risk of economic loss so a niche health insurer can optimise its pricing policies.
Player churn prediction for an online gaming platform
11.3% churn rate after new retention strategies
A machine learning model that learns player behaviour during the game and predicts the probability of churn over a given time horizon, so the platform can apply the most relevant retention strategy.
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