{"product_id":"artificial-intelligence-for-customer-relationship-management","title":"Artificial Intelligence for Customer Relationship Management","description":"\u003cp\u003eIn this review of Artificial Intelligence for Customer Relationship Management: Solving Customer Problems, the focus is on readers who need a research-driven guide to applying AI methods to customer support. The book is a specialized, academic treatment that explains dialogue management, sentiment analysis and personalization for resolving customer complaints; the single biggest reason to buy is its clear connection between linguistic discourse analysis and practical dialogue systems that aim to understand complaints and tailor responses to individual customers.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDialogue management based on discourse analysis:\u003c\/strong\u003e Explains a systematic linguistic approach to managing conversations so a system can follow an author's thought process and clarify customer issues.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComplaint understanding:\u003c\/strong\u003e Describes methods for interpreting customer complaints to identify the core problem and possible resolutions rather than relying solely on keyword matching.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSentiment analysis integration:\u003c\/strong\u003e Shows how mood detection helps prioritize responses and adapt tone during interaction to improve resolution rates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePersonalization through trait analysis:\u003c\/strong\u003e Covers analysis of personal traits to tailor dialogue strategies for different customer types and communication styles.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIterative problem solving via dialogue:\u003c\/strong\u003e Demonstrates maintaining a back-and-forth interaction that narrows down solutions and explores multiple fixes when needed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis volume is well suited to researchers, advanced students and technical product teams working on conversational agents, CRM automation or AI-driven support systems who want a linguistically grounded framework for dialogue management. It is also useful for data scientists interested in combining sentiment and personal trait analysis with dialogue strategies.\u003c\/p\u003e\n\u003cp\u003eIt is less appropriate for casual readers seeking a broad introduction to AI or business managers wanting high-level strategy without technical detail. Practitioners expecting step-by-step engineering tutorials with large code examples should look for companion resources or implementation guides.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConnects discourse analysis to practical dialogue management, making an academic method applicable to CRM systems.\u003c\/li\u003e\n\u003cli\u003eAddresses both sentiment and personal traits so responses can be better tailored to individual customers.\u003c\/li\u003e\n\u003cli\u003eFocuses on iterative dialogue to clarify problems and seek multiple resolutions rather than one-shot answers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe text reads like a research monograph and assumes familiarity with linguistic and AI concepts, so it can feel dense for newcomers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eArtificial Intelligence for Customer Relationship Management: Solving Customer Problems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eHumanComputer Interaction Series\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eBoris Galitsky\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubject focus\u003c\/td\u003e\n\u003ctd\u003eDialogue management, sentiment analysis, personalization for CRM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApproach\u003c\/td\u003e\n\u003ctd\u003eDiscourse analysis and linguistic methods applied to customer support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eResearchers, advanced students, technical product teams\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eFor technically minded readers building conversational CRM systems, this volume is a valuable, research-grounded resource that links discourse analysis with practical dialogue management and personalization. It is good value for those who need an academically rigorous treatment of complaint understanding and sentiment-aware interaction, though casual readers should expect a dense, specialist text.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book include practical system designs?\u003c\/strong\u003e\u003cbr\u003eThe book describes system design concepts for understanding complaints and managing dialogues, with an emphasis on linguistic methods rather than full implementation code.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho benefits most from the discourse analysis approach?\u003c\/strong\u003e\u003cbr\u003eResearchers and engineers creating conversational agents or CRM automation benefit most, as the approach helps structure dialogue to clarify and resolve customer issues.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs prior AI knowledge required?\u003c\/strong\u003e\u003cbr\u003eYes, familiarity with basic AI and linguistic concepts will help; the book is written as a research monograph rather than a beginner tutorial.\u003c\/p\u003e","brand":"Boris Galitsky","offers":[{"title":"Default Title","offer_id":48205883441371,"sku":"3030616436","price":138.88,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61IjENS2X1L._SL1254.jpg?v=1770311151","url":"https:\/\/gearmusthave.com\/products\/artificial-intelligence-for-customer-relationship-management","provider":"GearMustHave","version":"1.0","type":"link"}