Everyone wants more leads, but the more we are able to generate, the harder it becomes to identify which of them are actually worth the time and effort spent in order to try to convert them. Lead scoring models let you automatically rank your leads in order of the perceived value each lead represents to your company. Resources for marketing and sales can then be distributed by the priority determined by lead scoring.
Insurance claims management is the process of managing a claim from reception to settlement. The insurance claim process is particularly suited to machine learning solutions as much can be done to cut time and costs, leading to speedier resolution of claims to the satisfaction of both insurer and insured.
Life insurance underwriting is the act of accepting liability under a life insurance policy. Insurers increasingly use machine learning to identify risk categories and recommend policies, faster and more accurately than humans alone.
In these times of lockdowns, these programs become especially important as people are more interested in life insurance but may only be reached remotely.