Identifying classes of users to facilitate negotiation

Abstract

As in many industries, e-commerce technologies and strategies are stimulating a rapid growth in the services that insurance companies can offer. This rapid growth brings with it several interesting issues such as improving the quality of customer service by ensuring that individual customer's needs are reflected in the products offered. However, finding an appropriate insurance product on the Web can be a difficult and time-consuming process. In this paper we analyse the application of machine ieamillg techniques in modeling customers of an electronic insurance market as an approach to better match customers and insurance product offers, reducing the needed effort in negotiating an insurance product, providing a vaillable add-on to both customer's alld insurers' sides. © 2004 by Springer Science+Business Media New York.