Intelligent CRM

Dinesh G. Harkut

ISBN 10: 6200094314 / ISBN 13: 9786200094315

Edité par LAP LAMBERT Academic Publishing Jun 2019, 2019

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -Customers are the most valuable assets of a company. As Internet becomes popular, web personalization for E-commerce has gained much attention. Building and maintaining customer loyalty are important issues in electronic business. By providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers, customer loyalty and customer equity can be improved. Attempt has been made to propose Adaptive Neuro Fuzzy classification as a multidimensional data analysis for establishing profitable customer relationships. With the advent of Internet technology, number of online customers and number of attributes of these customers keeps on varying with time and situation which is very difficult to predict. This dynamic ever changing behavior of customers can be modeled by hybridization self learning, adaptive neural network along with fuzzy logic. Customer performance indicators for revenue and profitability, customer investment, relationship, recommendation, information and cooperation indicators allow to segment customers precisely to define customer strategies in order to increase corporate profits and growth. 288 pp. Englisch.

N° de réf. du vendeur 9786200094315

Détails bibliographiques

• Titre: Intelligent CRM
• Éditeur: LAP LAMBERT Academic Publishing Jun 2019
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 6200094314
• ISBN à 13 chiffres: 9786200094315
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 220 L x 150 H x 18 P (en millimètres) 220 millimètres de largeur par 150 millimètres de hauteur par 18 millimètres de profondeur
• Poids: 447 grammes

A propos de ce titre

Synopsis

Customers are the most valuable assets of a company. As Internet becomes popular, web personalization for E-commerce has gained much attention. Building and maintaining customer loyalty are important issues in electronic business. By providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers, customer loyalty and customer equity can be improved. Attempt has been made to propose Adaptive Neuro Fuzzy classification as a multidimensional data analysis for establishing profitable customer relationships. With the advent of Internet technology, number of online customers and number of attributes of these customers keeps on varying with time and situation which is very difficult to predict. This dynamic ever changing behavior of customers can be modeled by hybridization self learning, adaptive neural network along with fuzzy logic. Customer performance indicators for revenue and profitability, customer investment, relationship, recommendation, information and cooperation indicators allow to segment customers precisely to define customer strategies in order to increase corporate profits and growth.