Recommendation engines are the algorithms applied to provide proper offers for each particular customer. They help to influence the customers’ day to day decisions, choices, and preferences.
These algorithms use special filtering systems to spot the preferences and peculiarities in the customers’ choices. The algorithms, also, include analysis of the data gained from simple questionnaires concerning demographic data and some personal information regarding the insurance experience and the insurance object.
On the basis of these insights, the engines generate more targeted insurance propositions tailored for specific customers. Thus, for example, the insurance company can avoid the ambiguity of the offering car insurance to a customer who is searching for a health insurance proposition.
