| 000 | 02440nam a22002177a 4500 | ||
|---|---|---|---|
| 999 |
_c4070 _d4070 |
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| 005 | 20221201105427.0 | ||
| 008 | 221201b ||||| |||| 00| 0 eng d | ||
| 020 | _a9783030521660 | ||
| 082 |
_a005.437 _bGAL |
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| 100 |
_aGalitsky, Boris _99275 |
||
| 245 |
_aArtificial intelligence for customer relationship management: _bkeeping Customers Informed |
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| 260 |
_bSpringer _aSwitzerland _c2020 |
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| 300 | _axi, 445 p. | ||
| 365 |
_aEURO _b159.99 |
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| 520 | _aAbout this book 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. | ||
| 650 |
_aUser interfaces (Computer systems) _910393 |
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| 650 |
_aArtificial intelligence _91478 |
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| 650 |
_aComputer simulation _9936 |
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| 650 |
_aCustomer relations--Management _9211 |
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| 942 |
_2ddc _cBK |
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