DocumentCode :
1934424
Title :
A Knowledge-Based Intelligent System for Power Customer Service Management
Author :
Guo, Ying-chun ; Niu, Dong-xiao
Author_Institution :
North China Electr. Power Univ., Baoding
Volume :
5
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2925
Lastpage :
2930
Abstract :
In this paper, a knowledge-based intelligent system for power customer service management is proposed. As the value of knowledge management and customer relationship management has been well recognized, it is essential to make optimal reuse of knowledge of customer among various functional units of the enterprise. As the power company is the industry that provides standard service, it is important to ensure that the customer service staff can access and be trained up with dynamically updated knowledge that adjusts to the changing environment of the enterprise in customer services. However, conventional way of customer service management is inadequate to achieve knowledge acquisition and diffusion, service automation and satisfaction measurement, and thus unfavorable for the continuous improvement of the customer service quality. This paper discusses the frame and process of the knowledge-based intelligent service system for power customer, and puts forward some aspects that should be noted during the period of implementation. It is verified that the proposed model provides high quality customer services with fast and efficient responses to customer demands.
Keywords :
customer satisfaction; customer services; electricity supply industry; knowledge acquisition; knowledge based systems; customer relationship management; customer service quality; knowledge acquisition; knowledge diffusion; knowledge management; knowledge-based intelligent system; power company; power customer service management; satisfaction measurement; service automation; Companies; Customer relationship management; Customer service; Energy management; Industrial relations; Industrial training; Intelligent systems; Knowledge management; Power system management; Quality management; Artificial intelligent (AI); Customer relationship management (CRM); Customer service management (CSM); Knowledge management (KM); Knowledge-based system (KBS); Power customer service management system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370648
Filename :
4370648
Link To Document :
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