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Littérature scientifique sur le sujet « Personalizing customer experience »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Personalizing customer experience"

KHAN, PAREESHA. "Role of Ai in Personalizing Customer Experience." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50817.

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1. Introduction In today’s technology-driven marketplace, customer experience (CX) is a primary differentiator for businesses. Artificial Intelligence (AI) has emerged as a transformative force in enhancing how companies understand, serve, and engage with customers. This project aims to analyse the role of AI in delivering personalized experiences across sectors like e-commerce, banking, hospitality, retail, and telecommunications. 2. Objectives of the Study · To examine how AI tools enhance customer experience through personalization. · To explore various AI technologies used by businesses fo

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Arunkumar, Paramasivan. "AI-Driven Customer Insights: Personalizing Cardholder Experience in the Digital Era." International Journal of Leading Research Publication 5, no. 3 (2024): 1–13. https://doi.org/10.5281/zenodo.14551557.

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Retracing the use of Artificial Intelligence (AI) in the financial services industry, particularly in the credit card service, has eased the industry through a new level of personalization. Powered by large volumes of transactional and behavioral data, AI systems help issuers better understand customers and their lifestyles. This process employs sophisticated algorithms like micro and macro analyzing, whereby the behavior of customers in the future, based on previous ones, is predicted, and systems that offer specific products and services to specific customers are recommended. It also increas

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Kaliuta, K. "Personalizing the user experience in Salesforce using AI technologies." COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 52 (September 24, 2023): 48–53. http://dx.doi.org/10.36910/6775-2524-0560-2023-52-06.

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Artificial intelligence (AI) technology has transformed the interactive marketing experience of clients. Despite a large number of studies investigating the use of AI in interactive marketing, customization as a significant concept remains unexplored in marketing using AI research and practice. authors investigate appropriate research as well as insights on Salesforce interactive advertising. The authors highlight practice challenges at various points of the customer experience and give critical managerial advice as a solution to such problems. Personalization may help your business in a varie

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Terenggana, Candra Astra. "The Influence of Artificial Intelligence on Customer Experience (Study of Maxim Users in Surabaya, East Java)." Economics Studies and Banking Journal (DEMAND) 1, no. 1 (2024): 37–45. http://dx.doi.org/10.62207/jhctec97.

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This study aims to investigate the impact of artificial Intelligence (AI) on customer experience (CX) for customers of the Maxim transportation application in Surabaya. With the aid of focusing on the implementation of the AI era in personalizing services, growing operational performance, and responding quickly to customer needs, this research explores the fantastic impact on the customer. The research method makes use of a deductive approach, accumulating records from Maxim customers in Surabaya through surveys, interviews, and information analysis. The research results display that AI permit

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Lakshmi Kanth, Mangalagiri, Mohd Abdul Mujeeb, Manda Harshitha, et al. "Personalizing the E-Commerce – Experience: A Recommendation System." MATEC Web of Conferences 392 (2024): 01095. http://dx.doi.org/10.1051/matecconf/202439201095.

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You In the fiercely competitive landscape of the E-Commerce industry, the significance of Personalization cannot be overstated when it comes to retaining customers and bolstering revenue streams. Employing a recommendation system proves to be a highly efficacious strategy for achieving this personalization objective, as it furnishes users with pertinent product suggestions tailored to their preferences and behaviors. The focal point of this project is the development of a recommendation system tailored for an E-commerce platform, poised to elevate user experiences and amplify sales. Our method

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Maitama Kura, Kabiru. "Linking Customer Relationship Management to Behavioral Intentions in Islamic Banking System: Evidence from Nigeria." Journal of Entrepreneurship and Business 4, no. 1 (2021): 15–25. http://dx.doi.org/10.17687/jeb.v4i1.91.

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In today?s highly competitive market environment, customer relationship management has become a key strategy for personalizing customer experience, improving customer satisfaction, as well as building and maintaining loyalty. The present study investigates the relationship between customer relationship management dimensions and behavioral intentions. Key customer focus, customer relationship management organization, knowledge management, and technology-based customer relationship management are conceptualized as dimensions of customer relationship management. Results, based on a convenience sa

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Ustazah, E. N., P. Setijanti, and A. Hayati. "Emphatic architecture: an approach to spatial quality concept in achieving adaptive retail resilience." IOP Conference Series: Earth and Environmental Science 1351, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1755-1315/1351/1/012012.

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Abstract The retail atmosphere is changing fast. A physical-based retail is developed by creating an experience with user empathy. The object of this research is an art fashion retail boutique fashion with art content and experiences that represent the uniqueness of customer segmentation. This type of retail will collapse if there are no repeat visits. Consequently, the retail resilience will be declined. Therefore, it is crucial to conceptualize how the customer experience in a retail setting influences purchasing decision-making. This study focuses on designing for customers with specific ne

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Idian, Maria Joy I., Mohummad Kamrul Hassan, and Akaa Samuel Terzungwe. "Artificial Intelligence, Blockchain, Machine Learning, and Customer Relationship Management." Bincang Sains dan Teknologi 2, no. 01 (2023): 16–20. http://dx.doi.org/10.56741/bst.v2i01.276.

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This article discusses the utilization of technology, particularly artificial intelligence (AI) and blockchain, in customer relationship management (CRM). The use of technology in CRM helps companies improve customer experience, maximize customer value, and make better business decisions. AI plays a crucial role in managing CRM by collecting, analyzing and personalizing customer data, predicting customer decisions, and creating chatbots. Blockchain improves the transparency, security and accuracy of customer information stored in CRM. Research data shows that the combination of AI and blockcha

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Bhuiyan, Mohammad Shafiquzzaman. "The Role of AI-Enhanced Personalization in Customer Experiences." Journal of Computer Science and Technology Studies 6, no. 1 (2024): 162–69. http://dx.doi.org/10.32996/jcsts.2024.6.1.17.

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The purpose of this research study is to investigate how AI-driven-personalization chatbots and virtual assistants might improve customer experiences across different types of businesses. It investigates if artificial intelligence is able to cater goods, services, and marketing to the preferences of customers. The areas of retail and hospitality, together with finance, are the primary emphasis of this article. This study investigates the ways in which artificial intelligence can improve retail virtual shopping assistants and product recommendations. This article investigates the use of artific

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Lilly, A., R. Rajkumar, J. Vinoth Kumar, and J. Lydia. "Prominence of artificial intelligence-upholding customer loyalty via customer relationship management." Journal of Information and Optimization Sciences 45, no. 8 (2024): 2129–40. https://doi.org/10.47974/jios-1767.

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In the last few decades, Artificial Intelligence (AI) has radically altered the way around the world people conceive, perform, and consume. To survive, any business must gain the loyalty and confidence of its customers. As cloud-based CRM structures have evolved into digital assistants, rudimentary data input tools are being replaced by cloud-based CRMs. Customer loyalty is eroding due to increased competition. A consistent satisfactory experience head towards customer loyalty, which means customers aspire one brand over another. In order to quench the customers’ prerequisites, the business sh

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Chapitres de livres sur le sujet "Personalizing customer experience"

Court S., Kirkwood L., Farnsworth M., Orlovs I., Shehab E., and Tinworth N. "Requirements Analysis of Digital Technology for the Rail Industry." In Advances in Transdisciplinary Engineering. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-792-4-201.

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Personalizing the experience of a passenger before, during and after rail travel is an important target for any train operator if it wishes to retain their custom. The increase in digital technology and its access to both customers and train operators affords the opportunity to exploit and develop solutions that match the needs of the customer for a better and cheaper rail experience, while providing the operator with increased revenue and loyalty. This paper presents a systems requirements review for digital technology in the rail sector, with a particular focus on the use of mobile applicati

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Ramnarayan, Sujata. "Marketing and Artificial Intelligence." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5077-9.ch005.

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Technologies are changing marketing due to the amount of information available to consumers, along with information being generated by consumers. Marketers face a challenge with greater volume and variety of data generated at a faster rate than ever before along with fragmentation of channels. This data when combined with artificial intelligence presents an opportunity to marketers to provide value add at a granular level and a personalized customer experience round the clock 24/7/365. Treating customers as individuals by offering an optimized personalized offering, sending the right personali

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Al-Romeedy, Bassam Samir, and Amrik Singh. "Reimagining Customer Relations Through AI Innovation." In Advances in Finance, Accounting, and Economics. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-8507-4.ch019.

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This chapter delves into the significant impact that Artificial Intelligence (AI) is having on customer relations, with a focus on how AI technologies are revolutionizing customer engagement and improving the overall customer experience. It offers a comprehensive look at various AI tools, including chatbots, virtual assistants, predictive analytics, and sentiment analysis, and explores their roles in personalizing customer interactions and automating routine processes. Additionally, the chapter considers the ethical issues related to AI, such as concerns about data privacy and algorithmic bias

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Ciasullo, Maria Vincenza, Paola Castellani, Silvia Cosimato, and Chiara Rossato. "How Smartness Enables Value Co-Creation." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7856-7.ch012.

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Digital revolution has involved and changed many service industries and also retailing, renewing its inbound and outbound processes. The pervasiveness of the internet of things has boosted the rise and growth of digital platforms, exploiting consumers' potential in personalizing their shopping experience, according to their wants and needs. Digital platforms have triggered the transition from a traditional two-sided marketplace towards a dynamic and complex one. The smart mindset, which has pervaded retail service domain, is in line with the current service research, according to which the dem

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Wijethilak, Hewawasam P. G. D., Sandeep Kumar Singh, and Shivani Dhand. "AI for Personalizing Customer Interactions." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3373-0219-5.ch011.

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Artificial Intelligence (AI) is revolutionizing customer personalization by delivering highly tailored experiences through advanced algorithms and data analysis. This paper explores the transformative impact of AI on personalizing customer interactions, examining key technologies such as machine learning, natural language processing, and predictive analytics. It highlights the benefits of AI-driven personalization, including enhanced engagement, improved customer satisfaction, and increased conversion rates. Challenges such as data privacy, ethical considerations, and integration complexities

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Verma, Amitabh. "Analytics and Data-driven Marketing." In Marketing in a Digital World: Strategies, Evolution and Global Impact. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815305456125010012.

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The chapter “Analytics and Data-Driven Marketing” is an essential exploration of how contemporary businesses utilize data in shaping and refining their digital marketing strategies. It underlines the transformative impact of analytics in understanding customer behavior, optimizing user experience, and evaluating the effectiveness of marketing campaigns. Central to this discussion are two primary areas: understanding user behavior and measuring campaign performance. In understanding user behavior, the chapter delves into how analytics tools offer insights into user interactions across digital p

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Sharma, Ridhima, Timcy Sachdeva, Amrik Singh, and Vipin Nadda. "A New Era of Engagement and Satisfaction." In AI Innovations in Service and Tourism Marketing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7909-7.ch001.

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This study explores the capacity of Artificial Intelligence (AI) to revolutionize the customization of marketing tactics. This study delves into the fundamental principles of customer engagement and investigates the capability of AI to provide relevant and focused marketing experiences. AI can personalize communications by monitoring customer behavior and demographics, which improves engagement and influences decision-making. This theory explores the use of game mechanics to engage and incentivize users. Artificial intelligence has the ability to tailor gamified marketing experiences by person

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Rajora, Himanshi, and Narayanage Jayantha Dewasiri. "Impact of Technology-Driven Personalized Training on Service Employee Performance and Customer-Centricity." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1270-5.ch013.

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This chapter explores the transformative role of technology in personalizing reskilling programs for service employees, with a focus on enhancing customer-centricity. It examines the evolution of reskilling in response to shifting business environments, driven by technological advancements like AI, machine learning, and immersive technologies such as VR and AR. The chapter highlights key technologies that enable personalized learning experiences and discusses the challenges and ethical implications associated with implementing these programs. It also outlines the future directions of reskillin

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Dighliya, Bhupender. "Techniques and Tools for Big Data Analytics in the Tourism Sector." In Marketing and Big Data Analytics in Tourism and Events. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3310-5.ch009.

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In an era marked by unprecedented digitalization and global connectivity, the tourism industry generates vast amounts of data that, when harnessed effectively, can revolutionize decision-making processes and enhance customer experiences. The chapter delves into innovative techniques and tools employed in the realm of big data analytics to extract meaningful insights from the vast and diverse datasets inherent in the tourism domain. The discussion encompasses a comprehensive overview of cutting-edge analytics methodologies, including machine learning algorithms, predictive modeling, and sentime

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Pasupuleti, Murali Krishna. "AI in Retail Operations: Streamlining Consumer Journeys." In Retail Reimagined: AI-Enhanced Personalization and Streamlined Operations. National Education Services, 2024. http://dx.doi.org/10.62311/nesx/97807.

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Abstract: This book chapter explores into the transformative role of Artificial Intelligence (AI) in retail operations, focusing on how it streamlines consumer journeys and enhances operational efficiency. AI in retail signifies a paradigm shift towards data-driven decision-making, personalized customer experiences, and optimized business processes. From automating inventory management and simplifying supply chain logistics to personalizing marketing efforts and improving customer service through chatbots and virtual assistants, AI technologies are reshaping the retail landscape. This chapter

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Actes de conférences sur le sujet "Personalizing customer experience"

Nandy, Manish, and Dhablia Dharmesh Kirit. "Big Data-Driven Customer Experience in E-Commerce: Personalizing User Journeys with Advanced Analytics." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10957405.

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Adnan Raouf, Raad, and Omar Ali Ismael. "Quality 4.0 and Big Data Marketing: A Systematic Literature Review." In The 5th International Scientific Conference on Administrative and Financial Sciences (CIC-ISCAFS'2025). Cihan University-Erbil, 2025. https://doi.org/10.24086/icafs2025/paper.1762.

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Abstract— This paper explores the logical relationships between two new concepts, Quality 4.0 and Big Data-driven Marketing. The review of literature provides a view of the theoretical underpinning and implementation of Quality 4.0 and big data-driven marketing. Research questions will concentrate on the dependency relationship between Quality 4.0 and big data marketing and the problems faced in carrying them out jointly. Quality 4.0 integration and big data marketing bring encouraging relationships, e.g., using predictive analytics for enhancing quality and personalizing the customers’ experi

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Gera, Ralucca, and Mark Reith. "Envisioning AI-powered Learning Stemming from Piloted Personalized Education." In Tenth International Conference on Higher Education Advances. Universitat Politècnica de València, 2024. http://dx.doi.org/10.4995/head24.2024.17189.

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Learning systems can potentially transform education and training by allowing educators to encourage behavioural changes and internalization of concepts in learners. This paper introduces such an AI-powered model for a personalized learning system, building on our success of hand-curated learning paths to support individualized education. We utilize a network science approach as a construct to create an environment that is supportive of an individualized learning process, presenting an AI-powered framework. This framework is informed by student and faculty interactions with two custom created

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YAGUBOV, Rahib, and Ali KONAK. "DİJİTAL ÜRETİM VE PAZARLAMA SÜRECİNDE YAPAY ZEKÂNIN ÖNEMİ." In I . I N T E R N A T I O N A L R E S E A R C H C O N G R E S S F O R E C O N O M I C A N D A D M I N I S T R A T I V E S T U D I E S. Rimar Academy, 2022. http://dx.doi.org/10.47832/economiccongress1-5.

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Artificial intelligence is a technological structure with an algorithmic system network that is changing today's technology in many ways. It is estimated that artificial intelligence will continue to enter our lives rapidly over time and that it will make more changes than expected 1 Doktora Öğrencisi, Karabük Üniversitesi Lisansüstü Eğitim Enstitüsü, İşletme A.B.D., rahib2023@gmail.com orcid: 0000-0003-1401-5572 2 Doç. Dr., Karabük Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İktisat Bölümü, alikonak@karabuk.edu.tr orcıd: 0000-0003-1804-8339 50 in the lives of many people in the proces

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Rapports d'organisations sur le sujet "Personalizing customer experience"

Aldrich, Susan. Adobe Recommendations: Personalizing the Customer Experience. Patricia Seybold Group, 2012. http://dx.doi.org/10.1571/pr08-16-12cc.

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Aldrich, Susan. Steps to Success for Personalizing Your Customer Experience. Patricia Seybold Group, 2012. http://dx.doi.org/10.1571/ht06-07-12cc.

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