Is the cost-based (or actuarial) pricing the best approach for insurance companies?
We offer a price optimization tool where we deliver the price of the competition, and the optimal price:
. The optimal price that reduces the churn rate in the long run
. The optimal price that maximizes the margin
. The optimal price that maximizes the share of preferences (~market share)
We use behaviour data and experimental design to predict value, and manage price, not to reduce cost.
Regulation must create an opportunity.
We will build another module into the MIFID survey to measure the client’s next best offer.
We imitate real life. In the MIFID survey, we will present products that do not exist but that seem believable to consumers. As people choose these products and participate in this experiment, they will reveal their preference mechanisms.
We narrow the list of possible anomalous claims and make the audit process manageable
. Cloud or API deployment - no software layer
. Anomaly detection and compliance checks
. Alert investigation
. Risk identification using predictive analytics
We love insurance: The idea that people can share risks and help each other in difficult times is one of the greatest humans breakthroughs.
But... yes, there are other sectors that we care and love.
Check out our other projects and algorithms and ask for a presentation.