Customised customer support using a soft computing approach

dc.contributor.authorShah, Satya Ramesh-
dc.contributor.authorRoy, Rajkumar-
dc.contributor.authorTiwari, Ashutosh-
dc.contributor.authorMajeed, Basim-
dc.date.accessioned2011-10-11T06:59:26Z
dc.date.available2011-10-11T06:59:26Z
dc.date.issued2005-11-01T00:00:00Z-
dc.description.abstractThis paper describes the research and development of a methodology to identify the type of information required by the service advisor (CSA) within customer contact centre (CCC) environment. Data was collected through case studies carried out within five customer contact centres to derive the categories for customers and advisors based on demographic, experience, business value and behavioural attributes. We provide the methodology to develop a fuzzy expert system which assigns a new customer or advisor to the predefined categories. The authors have explained the steps which were followed for the development of the fuzzy expert system. A prototype system has been designed and developed to identify the type of customer and CSA based on the demographic, experience and behavioural attributes. The authors illustrate analysis with real data, based on the work with large scale customer contact centres. Validation of the information requirement model was carried out at the contact centres.en_UK
dc.identifier.citationShah S, Roy R, Tiwari A, Majeed B. (2005) Customised customer support using a soft computing approach. Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC’05) IEEE Computer Society, Volume 1, 28-30 November 2005, pp. 939 - 945-
dc.identifier.isbn0-7695-2504-0/05-
dc.identifier.urihttp://dx.doi.org/10.1109/CIMCA.2005.1631384-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/1459
dc.titleCustomised customer support using a soft computing approachen_UK
dc.typeArticle-

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