Title :
Research on innovation of initiative service faced on automobile classified customers
Author :
Hu, Wang ; Dong, Liu ; Jun, Wu
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
Abstract :
According to the behavioral features of automobile customer, the author uses the ID3 algorithm in the data mining. First, classify the automobile customers into groups, and then form many smaller customer groups with their own common features. Secondly, aiming at every customer group, we take ID3 algorithm to build service-item trees and produce the service principle according to the request of different customer groups. Based on the service principle and specific group´s feature, we build service scheme, Service provider then provide customers with perfect service initiatively according to the service scheme, achieving service innovation. Under new service scheme, develop new customers, stabilize the old customers, and improve the loyalty of the customers to attain a situation benefitting to both sides.
Keywords :
automobile industry; customer services; data mining; ID3 algorithm; automobile classified customers; behavioral features; data mining; initiative service; service principle; service provider; service-item trees; Automobiles; Classification algorithms; Decision trees; Personnel; Roads; Technological innovation; Wheels; ID3 algorithm; customer classification; customer relationship; initiative service; service innovation;
Conference_Titel :
Product Innovation Management (ICPIM), 2011 6th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0359-1
DOI :
10.1109/ICPIM.2011.5983762