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Journal articles on the topic 'Personalizing customer experience'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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Suryawijaya, Tito Wira Eka, and Masitha Fahmi Wardhani. "Tailoring the future of MSME marketing: A study on leveraging customer data for personalized experiences." Implementasi Manajemen & Kewirausahaan 3, no. 1 (2023): 76–88. http://dx.doi.org/10.38156/imka.v3i1.163.

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MSMEs play an important role in the global economy, employing nearly 90% of the workforce and contributing nearly 50% of the world's gross domestic product. However, many MSMEs have difficulty finding and retaining repeat customers, which is one of the main challenges for small businesses. This study aims to find out how customer data can be used to improve marketing strategies and meet customer needs and preferences more effectively. This research also aims to provide solutions and recommendations for MSMEs to improve their marketing through personalizing the experience for their customers. T

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Ismail Razak. "Customer Engagement in the Digital Age: Marketing Strategies that Win Consumers' Hearts." Jurnal Pendidikan Indonesia 2, no. 02 (2024): 159–65. https://doi.org/10.58471/ju-pendi.v2i02.515.

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The digital era has changed the marketing paradigm, where customers are increasingly connected online, allowing for more intense interactions between brands and consumers. Customer involvement is the key to achieving marketing success, especially in the face of increasingly fierce competition. This research aims to examine and analyze customer engagement in the context of the digital era, as well as explore effective marketing strategies to win the hearts of consumers. This research uses a qualitative approach with descriptive methods. Research findings show that being responsive and active on

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Tamara, Christania Armagita Julia, Willem J. F. Alfa Tumbuan, and Emilia Margareth Gunawan. "CHATBOTS IN E-COMMERCE: A STUDY OF GEN Z CUSTOMER EXPERIENCE AND ENGAGEMENT – FRIEND OR FOE?" Jurnal EMBA : Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi 11, no. 3 (2023): 161–75. http://dx.doi.org/10.35794/emba.v11i3.49501.

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With chatbots becoming more common in e-commerce, concerns have arisen about how Gen Z users perceive these virtual assistants. This study intends to investigate how Gen Z perceives chatbots in general and how they impact customer engagement and the e-commerce experience. Using semi-structured online interviews, a qualitative study methodology was used to collect information from 15 Generation Z individuals who had interacted with chatbots on e-commerce platforms in Manado City, Indonesia. In-depth knowledge of the perspectives, experiences, and complex actions of Gen Z customers around chatbo

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Chinaliyev, D. A., and O. Yu Zeveke. "Creative approach to personalizing of hotel services." Gostinichnoe delo (Hotel Business), no. 3 (March 29, 2024): 159–64. http://dx.doi.org/10.33920/igt-2-2403-04.

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The article examines the importance of creativity in personalising hotel services to improve the customer experience. The authors discuss various ways to personalise services, including unique offers for each guest, personalised gifts and special attention to detail. The study takes into account the competitive characteristics of the area under investigation, emphasising the benefits of a service-based service delivery model to improve business productivity.

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Arjun, Mantri. "Influence of Data Engineering on Travel Car Rental Industry and Return of Investment (ROI)." Journal of Scientific and Engineering Research 7, no. 4 (2020): 254–58. https://doi.org/10.5281/zenodo.13348114.

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The travel car rental industry is undergoing significant transformation through the adoption of data engineering technologies, including big data analytics, machine learning (ML), and artificial intelligence (AI). These technologies are revolutionizing fleet management, enhancing customer experience, and driving operational efficiency. This paper explores the impact of predictive maintenance, route optimization, and real-time data processing on reducing costs and improving service delivery. It also highlights the role of data-driven decision-making in personalizing customer interactions and im

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Gumenna, O. V. "CUSTOMER EXPERIENCE MANAGEMENT: THE KEY TO THE SUSTAINABLE DEVELOPMENT OF ORGANIZATION." Market economy: modern management theory and practice 22, no. 2(54) (2023): 55–67. http://dx.doi.org/10.18524/2413-9998.2023.2(54).298555.

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The article explores the importance of customized customer interaction management for personalizing their experience in real time through understanding their needs and using reflective innovative tools, in particular, a manifestation of cognitive marketing – neuromarketing. The key stages of effective customer experience management are highlighted, including understanding customer needs, providing a consistent experience, using technology and continuous improvement based on feedback, and customer experience management tools such as CRM systems, experience evaluation and the use of social media

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Shafiee, S., K. Marjani Rasmussen, E. Schäffer, and E. Marr Nielsen. "Application of Expert Systems for Personalizing Financial Decisions." Proceedings of the Design Society 2 (May 2022): 801–10. http://dx.doi.org/10.1017/pds.2022.82.

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AbstractDue to the complexity of financial products, consumers with low financial literacy are left behind. However, few practical studies investigated the impact of digital advisory systems to improve customer experience. Configuration systems, as the most popular expert systems, have never been applied as a financial tool. In this study, we explore the application of configuration systems to educate consumers in achieving their financial goals. The results highlight multiple benefits from using the configurator, including greater financial literacy and improved individual financial decision-

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Razumava, S. "Customer experience management in the marketing concept 4.0." Science and Innovations, no. 6 (July 25, 2024): 78–83. http://dx.doi.org/10.29235/1818-9857-2024-06-78-83.

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The article presents a description of the concept of management of CEM client experience, conducts its comparative characteristic with CRM technology. The author analyzes trends and prospects in the development of CEM solutions market, examines issues associated with their application in foreign organizations' activities, and presents data from Adobe research regarding the outcomes of their application by various companies. Marketing directors' objectives include using marketing technologies and distributing marketing budgets, and internal barriers to the development of CEM in organizations ar

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Astuti, Endang, Iwan Harsono, Sabalius Uhai, Hanifah Nurul Muthmainah, and Arnes Yuli Vandika. "Application of Artificial Intelligence Technology in Customer Service in the Hospitality Industry in Indonesia: A Literature Review on Improving Efficiency and User Experience." Sciences du Nord Nature Science and Technology 1, no. 01 (2024): 28–36. https://doi.org/10.71238/snst.v1i1.15.

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The hospitality industry in Indonesia, known for its cultural richness and natural beauty, has experienced significant growth in recent years, attracting both domestic and international tourists. Customer service has emerged as a vital differentiator in this competitive landscape. However, the country's cultural diversity poses unique challenges and opportunities for delivering exceptional service. Traditional methods of customer service have often been constrained by language barriers, cultural misunderstandings, and manual processes. The emergence of Artificial Intelligence (AI) technology o

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SIDDIQUE, MOHD ANAS. "A Study on the Role of AI Personalizing Digital Marketing Strategies." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50598.

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Abstract- This study examines the disruptive nature of Artificial intelligence (AI) in the personalization of digital marketing approaches and its effect in improving consumer response and business outcomes. As AI technologies including machine learning, predictive analytics, and natural language processing spread, marketers can bring an ever-greater level of personalization to the content, offers, and customer experiences based on individual preferences and behaviors in real time. The research design is descriptive and the data is gathered through structured questionnaires addressed to market

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Sunday Tubokirifuruar Tula, Azeez Jason Kess-Momoh, Ganiyu Bolawale Omotoye, Binaebi Gloria Bello, and Andrew Ifesinachi Daraojimba. "AI-ENABLED CUSTOMER EXPERIENCE ENHANCEMENT IN BUSINESS." Computer Science & IT Research Journal 5, no. 2 (2024): 365–89. http://dx.doi.org/10.51594/csitrj.v5i2.789.

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This scholarly investigation delves into the transformative impact of Artificial Intelligence (AI) on enhancing customer experience in the business realm. The study's purpose was to meticulously examine the integration, evolution, and strategic implications of AI in business operations, particularly in customer engagement. A comprehensive literature review and detailed case study analysis constituted the core methodology, focusing on peer-reviewed articles and practical examples from diverse business sectors. This approach facilitated a multi-dimensional exploration, capturing both the technol

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ПАКАЛОВ, Д. И. "СТРАТЕГИИ УПРАВЛЕНИЯ КЛИЕНТСКИМ ОПЫТОМ: ПУТЬ К УСПЕХУ БИЗНЕСА". Экономика и предпринимательство, № 10(171) (7 жовтня 2024): 896–99. http://dx.doi.org/10.34925/eip.2024.171.10.163.

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В статье рассматриваются ключевые стратегии управления клиентским опытом, направленные на создание положительных и запоминающихся впечатлений, повышение лояльности клиентов и улучшение финансовых показателей компаний. Описаны методы анализа клиентского поведения, использования CRM-систем и персонализации предложений. Приведены примеры успешного применения стратегий в различных отраслях, демонстрирующие их практическую ценность. В результате проведенного исследования выявлена значимость внимания к деталям и постоянного улучшения клиентского опыта для достижения долгосрочного успеха в бизнесе. T

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Wang, Shuo. "The Influence of AI in Marketing." Advances in Economics, Management and Political Sciences 151, no. 1 (2025): 52–57. https://doi.org/10.54254/2754-1169/2024.19326.

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The advent of Artificial Intelligence (AI) in marketing has sparked a transformative change. This paper delves into the burgeoning application of AI in marketing, examining its potential to enhance efficiency and sales while addressing the associated ethical concerns and customer privacy issues. Despite the potential drawbacks, such as data privacy violations and the erosion of consumer autonomy, the study explains the benefits of AI in personalizing customer experiences and streamlining decision-making processes, which can bolster customer satisfaction and drive sales performance. The researc

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Timimi, Hasnae, Mohammed Baaddi, and Amina Bennouna. "Impact of artificial intelligence on the personalization of the customer experience: A systematic literature review." Multidisciplinary Reviews 8, no. 7 (2025): 2025224. https://doi.org/10.31893/multirev.2025224.

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Artificial intelligence (AI) has emerged as a revolutionary and transformative force across multiple spheres of life, notably reshaping industries with marketing as a prime beneficiary, enabling it to multiply sources of information and data, improve software data management capabilities, and design complex and advanced algorithms. The integration of artificial intelligence into marketing strategies is radically transforming the way companies engage with their customers. By personalizing the customer experience, AI makes it possible to offer more tailored and responsive services, with a positi

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Rahman, Romano Aulia. "DIGITAL MARKETING COMMUNICATION STRATEGIES IN THE ERA OF DISRUPTION." Jurnal Kebijakan Publik 15, no. 2 (2024): 261. http://dx.doi.org/10.31258/jkp.v15i2.8522.

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The era of technological disruption has fundamentally changed the way companies run business and interact with customers. This research aims to explore effective digital marketing communication strategies amidst this rapid change. The research method used is a qualitative approach with case studies of several companies that have successfully implemented digital marketing strategies. Data was collected through in-depth interviews, content analysis, and digital activity observations. The research results identified several key elements of a successful strategy, including leveraging data and anal

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Goyal, Ms Megha, and Ms Neha Sharma. "A Review Study on Role of Chatbot in Consumer Buying Process." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–14. http://dx.doi.org/10.55041/ijsrem37074.

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Chatbots play a pivotal role in social marketing by enhancing customer engagement and streamlining interactions. They provide instant, round-the-clock responses to customer inquiries, which significantly boosts satisfaction and retention. By personalizing conversations and delivering targeted content, chatbots help drive traffic and conversions, effectively nurturing leads and guiding them through the sales funnel. Additionally, they collect valuable data on customer preferences and behaviors, enabling businesses to refine their marketing strategies and improve overall user experience. Their a

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Pfeiffer, Jella, Thies Pfeiffer, Martin Meißner, and Elisa Weiß. "Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments." Information Systems Research 31, no. 3 (2020): 675–91. http://dx.doi.org/10.1287/isre.2019.0907.

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How can we tailor assistance systems, such as recommender systems or decision support systems, to consumers’ individual shopping motives? How can companies unobtrusively identify shopping motives without explicit user input? We demonstrate that eye movement data allow building reliable prediction models for identifying goal-directed and exploratory shopping motives. Our approach is validated in a real supermarket and in an immersive virtual reality supermarket. Several managerial implications of using gaze-based classification of information search behavior are discussed: First, the advent of

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Singh, Puneet. "AI-Driven Personalization in Telecom Customer Support: Enhancing User Experience and Loyalty." Distributed Learning and Broad Applications in Scientific Research 9, no. 1 (2023): 325–63. https://doi.org/10.5281/zenodo.14989163.

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In the rapidly evolving telecom industry, the integration of Artificial Intelligence (AI) intocustomer support systems has emerged as a transformative force, significantly enhancing theuser experience and fostering customer loyalty through personalization. This paper exploresthe utilization of AI technologies in personalizing telecom customer support, emphasizing theways in which these technologies create tailored interactions that boost user satisfaction andretention. Central to this discussion is the role of advanced AI techniques, particularly NaturalLanguage Processing (NLP), which enable

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Vibha M. B. "NLP Chatbot For Order Assistance Using Dialogflow." Journal of Electrical Systems 20, no. 10s (2024): 2580–94. http://dx.doi.org/10.52783/jes.5624.

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This paper explains the development of an order assistant conversational AI chatbot with Dialogflow. The chatbot will be created for an improved experience, more customer interaction, and simplicity in placing orders. The current study looks into how NLP chatbots will likely revolutionize customer service operations. The existing systems designed for order assistance are generally ineffective. This increases customer frustration and reduces loyalty. Manual handling of customer queries increases response rate the operational cost and makes the very slow. An automated system with efficient order

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FAJAR, Ahmad Nurul, Aldian NURCAHYO, and Nunung Nurul QOMARIYAH. "Online Travel Agent for Tourism System Using Big Data and Cloud." Journal of Environmental Management and Tourism 11, no. 2 (2020): 396. http://dx.doi.org/10.14505//jemt.11.2(42).18.

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Nowadays, more and more people can enjoy fast internet access that can be used for various activities such as browsing, shopping online, video calls, playing games and so on. Businesses are also utilizing this very rapid increase in internet technology. They sell products and services through the internet with various attractive offers and competing with each other to increase their sales. One strategy that can be done to get more sales is through the method of personalizing services for customers. The personalization aspect in e-tourism has been predicted to increase. Customers who are making

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Konudula, Joshna, and Er Kratika Jain. "Customizing Salesforce for Enhanced Webstore Experiences." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 4 (2025): 40–56. https://doi.org/10.63345/ijrmeet.org.v13.i4.3.

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The use of Salesforce to improve webstore experiences has emerged as a central research theme in the e-commerce industry.While considerable advancements have been made in personalizing Salesforce to optimize customer interactions, process automation, and sales process optimization, there remains a huge research gap in understanding the complex implications of such personalizations on long-term customer loyalty, large-scale personalization, and channel consistency. Research work done in this period has been largely focused on areas such as the use of AI-enabled tools like Salesforce Einstein fo

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McColl-Kennedy, Janet R., Lilliemay Cheung, and Elizabeth Ferrier. "Co-creating service experience practices." Journal of Service Management 26, no. 2 (2015): 249–75. http://dx.doi.org/10.1108/josm-08-2014-0204.

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Purpose – The purpose of this paper is threefold: to introduce a practice-based framework designed to integrate and deepen our understanding of how individuals co-create service experience practices; to identify co-creating service experience practices; and to provide a compelling agenda for future research, and offer practical strategies to enhance co-created service experiences. Accordingly, we extend practice theory, building on Kjellberg and Helgesson’s (2006) practice-based framework for markets by integrating Holt’s (1995) consumer practices and social capital-based practices (Gittell an

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Vasilopoulou, Christina, Leonidas Theodorakopoulos, and Giorgos Igoumenakis. "The Promise and Peril of Big Data in Driving Consumer Engagement." Technium Social Sciences Journal 45 (July 9, 2023): 489–99. http://dx.doi.org/10.47577/tssj.v45i1.9133.

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The advent of big data has transformed the way in which businesses interact with consumers. With the ability to collect and analyze vast amounts of data from multiple sources, companies are now able to gain insights into consumer behavior that were previously impossible. This paper explores the relationship between big data, consumer behavior, digital marketing and personalizing the customer experience. It examines the ways in which big data is being used to gain insights into consumer behavior, the benefits and limitations of using big data, ethical considerations and the role of digital mark

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Barvinok, Nataliia, Liudmyla Neshchadym, Oksana Lytvyn, and Svitlana Tymchuk. "INTERACTIVE MARKETING IN THE HOSPITALITY INDUSTRY: DIGITAL TOOLS FOR PROMOTION IN A MULTICULTURAL ENVIRONMENT." Economies' Horizons, no. 1(30) (March 29, 2025): 22–32. https://doi.org/10.31499/2616-5236.1(30).2025.320681.

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The article examines modern approaches to the use of interactive marketing in the hospitality industry, focusing on its importance for personalizing services in a multicultural environment. The impact of globalization processes, which create new challenges for enterprises due to increased competition and growing consumer demands, is considered. The need to adapt marketing strategies to the cultural, linguistic and behavioral characteristics of customers is highlighted, which allows you to create unique offers that meet the needs and expectations of different audiences. The main attention is pa

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Smelov, S. B. "Omnichannel as a trend in managing marketing communications of microfinance business in the digital economy." Scientific notes of the Russian academy of entrepreneurship 23, no. 1 (2024): 60–66. http://dx.doi.org/10.24182/2073-6258-2024-23-1-60-66.

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The intense development of the competitive environment requires microfinance organizations to implement highly effective marketing, aimed at achieving commercial goals and realizing promotion functions in the digital environment. Omnichannel marketing becomes relevant in such conditions, emerging as a widespread trend in the contemporary microfinance business. This work reveals the modern trends of omnichannel marketing development: digitalization, the predominance of large commercial structures, and the shift towards a customer–centric approach and omnichannel marketing. Specific tools of omn

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Rosidi, Raihan Putra Mohammad, and Kiki Setiawan. "Implementasi Algoritma Naïve Bayes Terhadap Data Penjualan untuk Mengetahui Pola Pembelian Konsumen pada Kantin." Jurnal Indonesia : Manajemen Informatika dan Komunikasi 5, no. 1 (2024): 120–26. http://dx.doi.org/10.35870/jimik.v5i1.407.

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Implementation of the Naïve Bayes algorithm on sales data to determine consumer buying patterns in canteens is an approach that seeks to overcome the limited understanding of consumer behavior in canteens. The goal of this approach is to analyze sales data and identify purchasing patterns to gain insight into consumer behavior, optimize sales strategies, and improve customer satisfaction. By applying the Naïve Bayes algorithm to sales data, this research seeks to identify factors that influence consumer behavior, such as price, convenience, and menu offerings, and provide insights that can be

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Santos, Pedro Rafael Dias Dos, Raphael Moura Gennari, Jorge Rodrigues De Freitas, and Natalia Varela da Rocha Kloeckner. "Dropshipping: A Business Approach on the Rise." EnGeTec em Revista 1, no. 8 (2024): e365. https://doi.org/10.5281/zenodo.13333788.

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The study aims to present the dropshipping business model, in which the seller does not need to maintain physical stock of the products he sells, as the supplier is responsible for shipping directly to the customer. In the literature, dropshipping is treated as a growing business approach, but one that requires research, planning and dedication from entrepreneurs to achieve success. As characteristics for its application, the steps of choosing reliable suppliers, defining the marketing strategy and inventory metrics, online store flow and customer satisfaction emerge. In-depth analysis reveale

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Jagdishbhai Sapara, Neetaben, and Dr Hemant H. Patel. "Consumer Behavior Analysis through Advanced-Data Techniques: A Review for Utilities in Retail Marketing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem37895.

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This review offers a comprehensive analysis of the use of cutting-edge data strategies, including Big Data analytics, Machine Learning (ML), and Artificial Intelligence (AI), etc. in understanding and predicting consumer behavior. The convergence of these technologies has enabled marketers to uncover more detailed knowledge about consumer preferences and enhance customer engagement & satisfaction. By reviewing various methodologies, this study showcases the ways in which these tools are leveraged for segment consumers, predict consumer buying habits, and optimize marketing strategies. Addi

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Krupenna, Inga, and Yaroslav Krupennyi. "UPDATING THE MARKETING COMPONENT OF STRATEGIC DEVELOPMENT OF HOSPITALITY INDUSTRY ESTABLISHMENTS." Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences 26, no. 74(1) (2025): 101–11. https://doi.org/10.24025/2306-4420.1(74).2025.326289.

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The article is devoted to the analysis of modern directions of updating the marketing component of the strategic development of hospitality industry establishments. The growth of the global hospitality industry is due to changes in consumer behavior, who are increasingly focused on a unique, personalized experience, and not only on comfortable living conditions. Among the development factors, the growth of the related market of tourist impressions is also noted, which stimulates hotel chains to transform their value propositions. The purpose of the article is to identify modern directions of u

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Anunobi, Omelebele, Emmanuel Ukabuilu, Ogechi Enemuo, and Oluwafemi Olagunju. "Augmented Reality and Guest Satisfaction in Hotels in South-East, Nigeria." International Journal of Home Economics, Hospitality and Allied Research 4, no. 1 (2025): 89–102. https://doi.org/10.57012/ijhhr.v4n1.005.

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The need for personalized and quick response services in hotels using technology, led this study to examine the influence augmented reality on guest satisfaction in hotels in south-east Nigeria. The study employed a descriptive survey research design. The study addressed how guest satisfaction will be enhanced by adoption of augmented reality in personalizing services of guest and tailoring guest experience to their preference. The research was guided with two research questions and one hypothesis. The instrument for data collection was a structured questionnaire. The reliability of the instru

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Sodiq Odetunde Babatunde, Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi, and Damilola Oluwaseun Ogundipe. "THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES." International Journal of Management & Entrepreneurship Research 6, no. 3 (2024): 936–49. http://dx.doi.org/10.51594/ijmer.v6i3.964.

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This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant marketing experiences. AI can personalize messages based on consumer behavior and demographics, influencing the processing route and maximizing engagement. This theory explores the use of game mechanics to motivate and engage users. AI can personalize gamified marketing experiences, tailoring rewards and challenges to individual consum

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Milo BIANCHI and Marie BRIÈRE. "ROBO-ADVISORS: WHAT WE KNOW AND WHAT WE EXPECT." Bankers, Markets & Investors 168, no. 1 (2022): 35. https://doi.org/10.54695/bmi.168.35.

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his paper examines how robo-advisory services could solve some fundamental problems in individual investors’ decision making and traditional financial advice, and promote financial inclusion. We show the role that artificial intelligence plays, and should play, in robo-advice. We emphasize the importance of recent discoveries in Explainable Artificial Intelligence (XIA) and the importance of developing customer/robo interactions. We examine how far the personalization of robo-advice recommendations can go, given the trade-off between the goal of personalizing advice and the risks associated wi

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Manish Rana, Et al. "Bridging the Gap: Exploring new ways to deliver online Grocery shopping using Smart Software." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 4422–26. http://dx.doi.org/10.17762/ijritcc.v11i9.9932.

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Its great convenience and the availability of delivery and pickup options, online grocery shopping has transformed the procurement of food and household goods. These platforms frequently outperform brick-and-mortar businesses in terms of product selection. Technology, such as mobile apps and websites, has played a critical role in this process by delivering user-friendly interfaces, personalized recommendations, and smooth transactions. Artificial intelligence and data analytics improve the shopping experience even further by personalizing options and streamlining inventory management for shop

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Nesterov, Vasyl. "ANALYZING USER BEHAVIOR PATTERNS FOR PERSONALIZED RECOMMENDER SYSTEMS IN E-COMMERCE: A LITERATURE REVIEW." Automation of technological and business processes 16, no. 3 (2024): 69–76. http://dx.doi.org/10.15673/atbp.v16i3.2923.

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Abstract: E-commerce thrives on a user-centric strategy, and recommender systems are at the cutting edge of personalizing the purchasing experience. These systems may forecast preferences and recommend appropriate items by analyzing user behavior patterns, resulting in many benefits such as increased customer satisfaction, increased sales and conversions, and increased efficiency. To accomplish these benefits, recommender systems utilize complex algorithms that examine numerous elements of user behavior such as purchase history, browsing behavior, search queries, demographic data, and implicit

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Tsaturian, Roman, Denis Bedov, and Ruslana Zhovnovach. "Innovative Marketing Tools for Promoting Industrial Products on the Internet." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 9(42) (2023): 186–96. http://dx.doi.org/10.32515/2663-1636.2023.9(42).186-196.

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The article is devoted to the study of features of promotion of industrial products in the network. The publication is aimed at studying the peculiarities of using innovative digital marketing tools in the process of transforming the relationship between the brand of industrial products and the consumer. The characteristic features of using actual client-oriented means of promoting products on the Internet are investigated and generalized: non-standard advertising media; online exhibitions, online auctions; web conferencing; systems of interaction with sellers; methods of website promotion in

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Gajić, Tamara, Dragan Vukolić, and Snežana Knežević. "UREĐENJE EFIKASNOSTI I PERSONALIZACIJE USLUGA PUTEM PRIMENE VEŠTAČKE INTELIGENCIJE U HOTELSKOJ INDUSTRIJI." Ekonomist 3, no. 2 (2024): 9–31. https://doi.org/10.46793/ekonomist3.2.1g.

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This research examines the impact of artificial intelligence (AI) on improving operational efficiency and personalizing services in the hotel sector. VI technologies have become a key factor in the transformation of hotel business, enabling the automation of tasks, optimization of resources, as well as the provision of personalized services to guests. By applying AI, hotels achieve greater efficiency, reduce operational costs and adapt services to individual guest preferences. Research findings confirm that AI significantly contributes to improving service speed, reducing labor costs and impro

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Dabhade, (Chavan) Seema Rajendra. "Artificial Intelligence Transforming Indian Economy: Importance, Impact and Challenges." International Journal of Economics, Business, Accounting, Agriculture and Management towards Paradigm Shift in Research (IJEBAMPSR) 2, no. 1 (2025): 106–11. https://doi.org/10.5281/zenodo.15285808.

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<strong><em>Abstract</em></strong> <em>AI is increasingly important in enhancing the digital economy. It works alongside technologies such as the Internet of Things to boost company growth. In banking and finance, AI automates processes, reducing costs and errors, while enhancing customer support through chatbots. In e-commerce, it analyzes consumer behavior for better sales and fraud prevention. In safety and surveillance, AI uses video analysis and facial recognition to improve security. It also optimizes supply chains and logistics with predictive analytics, enhancing quality control and in

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Fatoni, Mahfud Heru, Baron Santoso, Hamid Syarifuddin, and Slamet Budiyono. "Analisis Peran Metaverse Sebagai Media Pendidikan Islam di Masa Depan." Bustanul Ulum Journal of Islamic Education 2, no. 1 (2024): 99–111. http://dx.doi.org/10.62448/bujie.v2i1.75.

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The paper discusses the possibilities role of metaverse as a instructional media of Islamic education in the future. Teaching and learning material of Islamic Education using tecnology would be easier for students to received knowledge from the teacher.The research method used is literature study, by collecting library data from relevant scientific journal sources. The research results show: 1) the metaverse is developing rapidly, considering that the metaverse is an interconnected social network. The implementation of metaverse in the world of Islamic education has a huge opportunity to suppo

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Hildebrand, Christian, and Anouk Bergner. "AI-Driven Sales Automation: Using Chatbots to Boost Sales." NIM Marketing Intelligence Review 11, no. 2 (2019): 36–41. http://dx.doi.org/10.2478/nimmir-2019-0014.

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AbstractThe implementation of bot interfaces varies tremendously in current industry practice. They range from the human-like to those that merely present a brand logo or a digital avatar. Some applications provide a maximum amount of information with limited turn-taking between the user and the interface; others offer only short pieces of information and require more turn-taking. Instead of simply implementing the default option provided by chatbot providers and platforms, companies should consider very carefully how the specifics of the chatbot interface might affect the user experience. Sim

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Lopes, João M., Ilda Massano-Cardoso, and Camila Granadeiro. "Festivals in Age of AI: Smarter Crowds, Happier Fans." Tourism and Hospitality 6, no. 1 (2025): 35. https://doi.org/10.3390/tourhosp6010035.

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Artificial intelligence (AI) stands out as a transformative force in various sectors, offering both new opportunities and challenges. In tourism and music events, AI has proven to be a powerful tool for improving the attendee experience, personalizing artist recommendations, optimizing event logistics in real time, and enhancing audience interaction through virtual assistants and immersive visual effects, thus highlighting its transformative potential. This study aims to analyze the impact of applying AI to the experience of consumers at music festivals. In particular, the research examines th

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