Artificial Intelligence for Customer Relationship Management

Keeping Customers Informed de

Éditeur :

Springer


Paru le : 2020-12-07

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Description


This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play.
Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently.

Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals. 

Pages
445 pages
Collection
n.c
Parution
2020-12-07
Marque
Springer
EAN papier
9783030521660
EAN PDF
9783030521677

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
22487 Ko
Prix
168,79 €
EAN EPUB
9783030521677

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
107551 Ko
Prix
168,79 €

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