Personalized Recommendation Systems Using Machine Learning
The Problem
Insurance customers have different lifestyles, needs and preferences. Promoting the same policies across all customer segments is not going to yield good results. Customers expect personalized policies, loyalty benefits and recommendations. Can AI be used to improve personalization and recommendations?
Solution
Machine Learning models deployed on Kranium can be used to provide personalized recommendations for policies based on the preferences of individual customers. The models can generate insurance advices to adequately cater to all customer needs.
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