publication . Other literature type . 2017

Artificial intelligence applied in claims management: Bet on the right customer with claims satisfaction predictive modeling

Benoit Lamarsaude;
  • Published: 17 Dec 2017
  • Publisher: Figshare
Abstract
<div>Insurance companies suffer from loss of customer consecutively to claims. Only a small portion of dissatisfied customer expresses themselves, creating difficulties in establishing a long term relationship. Increase customer loyalty is a major subject for insurers, because they have to maintain a minimum portfolio size and acquiring new</div><div>clients is more expensive than retains the existing. In this work we use artificial intelligence techniques to assess and manage the customer satisfaction when a claim occurs. Artificial intelligence offers a framework for prediction and decision making. A Markovian analysis based model which describes the claims ma...
Subjects
free text keywords: 150204 Insurance Studies, 170203 Knowledge Representation and Machine Learning, Knowledge Representation and Machine Learning, Insurance Studies, Non Life Insurance, Claims Management, Artificial Intelligence, Machine Learning, Game Theory, Markov Chains, Entropy
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FigShare
Other literature type . 2017
Provider: FigShare
figshare
Other literature type . 2017
Provider: Datacite
figshare
Other literature type . 2017
Provider: Datacite
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