AI Innovations for Customer Experience Optimization in the Service Sector

AI Innovations for Customer Experience Optimization in the Service Sector

Mourad Aarabe (Sidi Mohamed Ben Abdellah University, Morocco), Nouhaila Ben Khizzou (Sidi Mohamed Ben Abdellah University, Morocco), Lhoussaine Alla (Sidi Mohamed Ben Abdellah University, Morocco), and Ahmed Benjelloun (Sidi Mohamed Ben Abdellah University, Morocco)
Release Date: May, 2025|Copyright: © 2025 |Pages: 374
DOI: 10.4018/979-8-3373-0918-7
ISBN13: 9798337309187|ISBN13 Softcover: 9798337309194|EISBN13: 9798337309200
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Description & Coverage
Description:

The rise of digital technology and the proliferation of customer data have created fertile ground for the application of AI in the services sector. Customers expect personalized, fluid, and proactive experiences in the current era. From chatbots and virtual assistants to predictive personalization and sentiment analysis, AI allows companies to gain deeper insight into their customers' needs and preferences, enabling them to deliver more tailored and effective customer experiences.

AI Innovations for Customer Experience Optimization in the Service Sector addresses the theoretical, methodological, and empirical gaps in the academic and professional literature on using AI innovation solutions to optimize marketing processes and customer experiences. It encourages more rigorous and in-depth research to catalyze innovation and excellence in AI-based customer experience management, particularly in the services sector. Covering topics such as value creation, customer journey mapping effect, and telecommunications, this book is an excellent resource for marketing specialists, customer service managers, strategy manager, consultants, technology specialists, professionals, researchers, scholars, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence (AI)
  • Care Path Optimization
  • Competitive Advantages
  • Customer Experience
  • Customer Journey Mapping Effect
  • Customer Loyalty
  • Customer Relationship Management (CRM)
  • Digital Marketing
  • E-commerce
  • Health Tourism
  • Hybrid Algorithms
  • Online Retail
  • Patient Data
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Editor/Author Biographies
Mourad Aarabe is a Ph.D. student in Management Sciences at the National School of Business and Management, Sidi Mohamed Ben Abdellah University, Fez. He specializes in customer experience and the impact of emerging technologies on the tourism, healthcare, and service sectors. Mourad is also a Management and Business Trainer, with a focus on digital marketing and organizational management. He has published numerous contributions in indexed books and conferences, and actively contributes to the scientific community as an editor of an upcoming book on AI innovations for optimizing customer experience in the service sector. Additionally, he serves as a reviewer for several esteemed scientific journals and publishers. His research interests center on optimizing customer experience, applying emerging technologies in marketing, and promoting eco-responsible tourism behavior.
Nouhaila Ben Khizzou is a PhD student at the National School of Business and Management of Fez, Sidi Mohamed de Ben Abdellah University.
Lhoussaine Alla is a professor in management sciences at the National School of Applied Sciences, and a researcher at the LAREMEF laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco. He is a permanent professor of various marketing management modules at Sidi Mohamed Ben Abdellah University in Fez (Morocco) and in several public and private business graduate schools. He is an accredited professional expert in Training Engineering, Professional Coaching and Mentoring young entrepreneurs. After a PhD thesis on creating value for the customer and its impact on the overall performance of companies, Prof. Lhoussaine Alla invested more in scientific research in marketing, through various scientific contributions in the form of participation in international conferences and symposia and scientific publications, in various themes inherent to Marketing (customer value creation, customer behaviour, e-marketing, customer experience, sales performance, Marketing Data Analytics, territorial marketing, territorial attractiveness, territorial economic intelligence, ...), finance (stock market performance, financial analysts, financing package,...), entrepreneurship (entrepreneur profile, startups, entrepreneurial resilience,...), tourism (tourist attractiveness, visitor behaviour, tourism, performance of tourist destinations,...), logistics (SC, SCM, SSCM, Green SCM, logistics performance,...). Prof. Lhoussaine ALLA is also (co)editor of the e-book “Integrating Intelligence and Sustainability into supply chains. IGI Global. DOI: 10.4018/979-8-3693-0225-5” and Publication Director of the scientific journal “Managerial and Economic Alternatives - AME”, indexed on the IMIST portal. Prof. Lhoussaine ALLA is also (co)coordinator of many scientific events devoted to marketing research. As a scientific and educational accumulation, in his capacity as editor of numerous books, especially in collaboration with IGI Global, Prof ALLA has been able to mobilize a large community of imminent researchers and experts on a global scale, to share the fruits of their relevant and innovative research in the implementation, supervision, evaluation, control and reinvention of innovative solutions developed through data engineering and AI in marketing. He is co-editor of several collective works including: “Integrating Intelligence and Sustainability in Supply Chains”, “AI and Data Engineering Solutions for Effective Marketing”, “Data Collection and Analysis in Scientific Qualitative Research”, Applying Qualitative Research Methods to Management Science, Utilizing Technology to Manage Territories, Sustainable and Intelligent Territorial Marketing and Entrepreneurship. Prof ALLA is the coordinator of a team of young researchers very dynamic and talented, with complementary profiles, creating a friendly space for high-level scientific research.
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