demand analysis, customer segmentation, churn analysis
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Underwriting Beyond Data Enrichment and Machine Learning
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We provided the necessary information for the underwriters based on machine learning modeling essentially for, accurate prediction, feature engineering, segmentation of costumers, interpretation, and price elasticity.
time series analysis, insurance premium calculation
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Insurance for high-risk commodities
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We studied the feasibility of introducing insurance contracts for shrimp in Indonesia. The project is the first of its kind in the world, to use actuarial techniques to provide educational knowledge of shrimp insurance.
customer clustering, credit rating, automated expert advisory
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Automated Advisory Car Insurance
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The project has designed an advisory system using AI and machine learning methods to replicate the opinion of the experts in the can insurance department.
