Policy Pricing

Problem

The primary concern of pricing the policies is that one approach does not fit them all with traditional methods while calculating the payout price. Meaning that people with different backgrounds and incomes should be evaluated with different proposed prices.

Challenge

The estimated payoff price should be accurately drawn up to satisfy the customer and benefit the company by personalizing treatment plans and managing customer portfolios while being aware of working with the customer data and carrying that responsibility within the scope of Personal Data Protection Law.

Solution

Aigoritma is using the state of art machine learning for personalized policy pricing based on each customer’s input personal data with most of the variables. This will make the customer assessed within the convenient policy while helping the insurance company reduce costs in terms of payout.

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