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Relevant bibliographies by topics / AI-Powered Customer Experience

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Academic literature on the topic 'AI-Powered Customer Experience'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "AI-Powered Customer Experience"

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Abubakar, Ruqayyah Abdullahi, Ahmed Abubakar Aliyu, Zahra B. Yashe, et al. "Enhanced AI-Powered Customer Experience Model." Science World Journal 20, no. 1 (2025): 17–21. https://doi.org/10.4314/swj.v20i1.3.

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This journal will focus on the intersection of artificial intelligence (AI) and customer experience (CX), highlighting how emerging technologies enhance customer interactions, personalization and satisfaction.AI- powered customer experience models are revolutionizing how business interact with customers by offering real-time, personalized and data-driven interactions. Today’s customers expect brands to anticipate their needs, resolve issues instantly, and provide seamless interactions across all channels. The enhanced AI- powered customer experience model aims to transform traditional customer

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Trawnih, Ali, Sultan Al-Masaeed, Malek Alsoud, and Amer Muflih Alkufahy. "Understanding artificial intelligence experience: A customer perspective." International Journal of Data and Network Science 6, no. 4 (2022): 1471–84. http://dx.doi.org/10.5267/j.ijdns.2022.5.004.

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The engagement between customers and brands is being transformed by artificial intelligence (AI). However, there has been little study into AI-powered customer experiences; hence, this research aims to examine how the incorporation of AI in purchasing might result in a better AI-powered customer experience. This research will develop a conceptual model based on the service quality model and trust-commitment theory. Further to this, an online questionnaire was distributed to individuals who had utilised an AI-powered service provided by a particular brand, and consequently, a total of 354 respo

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Jlassi, Emna, Amel Chaabouni, and Molka Triki. "Impact of Recommendation Systems on AI-enabled Customer Experience." Journal of Telecommunications and the Digital Economy 13, no. 1 (2025): 160–91. https://doi.org/10.18080/jtde.v13n1.1137.

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Artificial intelligence (AI) is revolutionising the way customers interact with brands. AI-based customer experiences lack empirical research. This study aims to analyse how and to what extent integrating AI through recommendation systems in online purchases can lead to better AI-based customer experiences. We propose a theoretical model based on the theory of trust and commitment and the technology acceptance model. We conducted an online survey with customers who have experience with AI-powered online recommendation ads. We analysed 220 responses using PLS-SEM. The results of this research s

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Tejesh, Reddy Singasani. "Enhancing Customer Experience through PEGA s AI Powered Decisioning." Journal of Scientific and Engineering Research 9, no. 12 (2022): 191–95. https://doi.org/10.5281/zenodo.13753089.

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In this paper, we will examine the revolutionary effect of PEGA AI-powered decisioning on improving CX. Following AI breakthroughs, it has become clear that companies have their sights set on automatic customer service to deliver a more personable and efficient experience for customers. PEGA's AI decisioning engine uses data-driven real-time insights to predict desired outcomes, better optimize the overall experience and increase customer satisfaction. This paper discusses the AI mechanisms of PEGA, demonstrates how they work using different use cases and emphasizes their power in real-time sc

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Radha, Dr S. "Role of Artificial Intelligence in Shaping Consumer Experience and Loyalty in Fashion E-Commerce." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44114.

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The application of Artificial Intelligence (AI) in digital fashion retail has transformed shopping experiences for consumers via personalized suggestions, dynamic pricing, and AI-powered customer interaction. This research investigates the influence of AI-based personalization on consumer experience and purchasing choices, considering user behavior, satisfaction, and trust in AI-based platforms. Based on a sample of 120 respondents and statistical analysis via SPSS, the study identifies the ways in which AI-enabled customization promotes user engagement and purchase intention. The research ind

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Vivek S. Vaidya, Kaustubh N. Gaigole, Sanket Chamlate, Pruthviraj P. Futan, Mohit N. Deshmukh, and Nitin S. Thakare. "AI-Powered Smart Shopping Trolley." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 03 (2025): 635–40. https://doi.org/10.47392/irjaem.2025.0104.

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Trolleys are widely used in various places like shopping malls, hospitals, and colleges, but in supermarkets or malls, long queues during peak shopping hours often result in time loss for both shoppers and staff. This paper aims to design and develop an AI-Powered Smart Shopping Trolley to transform the conventional shopping experience by leveraging advanced technologies to enhance efficiency and customer satisfaction. The key objectives include automating checkout processes to save time, utilizing barcode scanners for accurate product tracking, and implementing real-time inventory management

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Bhanu, Raju Nida. "Leveraging Artificial Intelligence for Customer-Centric Solutions: Enhancing Satisfaction, User Experience, and Retention." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 6 (2024): 1–7. https://doi.org/10.5281/zenodo.14950796.

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In today’s changing world it is essential for businesses to focus their strategieson meeting customer needs and enhancing satisfaction to elevate user experience (UX) and boost customer retention. Old fashioned engagement methods often miss the mark when it comes to meeting the expectations of contemporary consumers who seek personalized experiences in real time and seamless interactions. Artificial Intelligence (AI)is seen as a tool that allows businesses to predict customer desires tailor interactions and enhance user experiences through optimized journeys. This study delves into how A

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Nze, Stella Udoka. "AI-Powered Chatbots." Global Journal of Human Resource Management 12, no. 6 (2024): 34–45. http://dx.doi.org/10.37745/gjhrm.2013/vol12n63445.

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Artificial Intelligence (AI)-powered chatbots have emerged as a transformative technology, fundamentally changing how businesses and organizations engage with their customers by providing real-time, personalized communication. These chatbots, driven by sophisticated algorithms, utilize Natural Language Processing (NLP) and Machine Learning (ML) to understand, interpret, and respond to human language in a manner that is contextually appropriate and relevant. As a result, AI-powered chatbots enhance both user experience and operational efficiency by automating routine interactions, reducing resp

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Aggarwal, Deepshikha, Deepti Sharma, and Archana B. Saxena. "Enhancing the Online Shopping Experience of Consumers through Artificial Intelligence." Feb-Mar 2024, no. 42 (February 1, 2024): 1–5. http://dx.doi.org/10.55529/ijitc.42.1.5.

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Artificial intelligence (AI) has revolutionized the online shopping experience for consumers. With AI-powered technologies, businesses can offer personalized recommendations based on consumers' browsing and purchase history. This creates a more tailored and convenient shopping experience, saving consumers time and effort. Additionally, AI can assist in fraud detection and prevention, ensuring secure transactions and building trust with customers. Moreover, AI chatbots are increasingly being used to provide instant and accurate customer support, answering queries and resolving issues promptly.

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Nnenna Ijeoma Okeke, Olufunke Anne Alabi, Abbey Ngochindo Igwe, Onyeka Chrisanctus Ofodile, and Chikezie Paul-Mikki Ewim. "AI-Powered customer experience optimization: Enhancing financial inclusion in underserved communities." International Journal of Applied Research in Social Sciences 6, no. 10 (2024): 2487–511. http://dx.doi.org/10.51594/ijarss.v6i10.1662.

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The integration of Artificial Intelligence (AI) into customer experience optimization holds transformative potential for advancing financial inclusion in underserved communities. This review explores how AI-driven tools can enhance personalized banking services, streamline customer engagement, and improve access to financial products for individuals who are often marginalized by traditional banking systems. By leveraging AI algorithms, financial institutions can analyze vast amounts of customer data to identify unique needs, preferences, and behaviors, enabling the delivery of tailored financi

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Book chapters on the topic "AI-Powered Customer Experience"

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Prajapat, Ramgopal. "Personalization – AI-Crafted Customer Experience." In AI-Powered Ecommerce. Apress, 2024. https://doi.org/10.1007/979-8-8688-0923-1_7.

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Maurya, Nitu, Jagendra Singh, Navneet Pratap Singh, Anusha Chaudhary, Sambhajiraje Patil, and Mohit Tiwari. "Exploring Shopping Opportunities and Elevating Customer Experiences Through AI-Powered E-Commerce Strategies." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6992-6_12.

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Sekarini, S., and S. Selvabaskar. "AI-Powered Branding." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7122-0.ch002.

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Emerging markets drive global economic growth by innovating to satisfy customer needs. When customers are satisfied, not only do organizations succeed, but the entire market thrives. These markets feature expanding consumer bases, rising disposable incomes, and rapid technological advancements. Consumer experience is crucial for converting new customers into loyal ones. AI plays a pivotal role in business success today, with those proficient in AI poised for leading positions. AI encompasses technologies like ML, NLP, DL, and data analytics, offering deep insights into consumer behavior and pr

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Dwivedi, Dwijendra Nath, and Ghanashyama Mahanty. "AI-Powered Employee Experience." In Exploring the Intersection of AI and Human Resources Management. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0039-8.ch009.

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AI has become an indispensable tool for businesses seeking to enhance the employee experience. Businesses that implement it can increase employee satisfaction, enhance customer service, and decrease cost per employee served – ultimately adding significant business value. Artificial intelligence instruments can improve employee experiences across several areas: recruitment, onboarding, training, and performance management. Furthermore, this use case will profoundly impact customer experiences overall.

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Behare, Nitesh, Supriya Bhagat, and Praful Sarangdhar. "Revolutionizing Customer Experience With AI-Powered Personalization." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9461-8.ch018.

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The integration of AI into customer experience strategies is revolutionizing the way businesses engage with their customers. This chapter explores how AI-powered personalization is transforming customer journeys by delivering tailored, real-time interactions that resonate with individual preferences and behaviors. From recommendation engines and predictive analytics to natural language processing and dynamic content, AI technologies are enabling companies to offer highly relevant experiences at every stage of the customer lifecycle. By examining key AI concepts, real-world case studies and cur

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Behare, Nitesh, Divya Yogesh Lakhani, Abhijit Vasmatkar, et al. "AI-Powered Personalization." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5340-0.ch006.

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By Customizing the shopping experience to individual users, AI-powered personalization plays a crucial role in mobile commerce, ultimately improving consumer satisfaction and increasing sales. This chapter highlights the several technologies and strategies employed in this field and gives an outline of AI-powered personalization in mobile commerce. It investigates user profiling and data collection methods, dynamic pricing and offers, personalized product recommendations AI-enhanced search and navigation. Moreover, the use of chatbots and virtual assistants. The chapter also discusses future d

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Tran, Minh Tung. "Unlocking the AI-Powered Customer Experience." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4453-8.ch019.

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In recent times, interest in AI's transformative potential in online advertising has surged. This review critically examines AI's role in enhancing customer experience (CX) across various business applications, identifying key themes, assessing AI-powered CX impact, and highlighting future research directions. The study finds that integrating AI into CRM brings significant transformation. AI enables personalized interactions, strengthens customer engagement, provides data-driven insights, and facilitates informed decision-making. Four central themes emerge: personalized service, enhanced engag

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Kaperonis, Stavros. "AI-Powered Personalization." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-3799-8.ch013.

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Marketing landscape experiencing a drastic change, driven by the growth of artificial intelligence (AI) and personalization, replacing "one-size-fits-all" marketing approach by more personalized marketing strategies, like machine learning and predictive analysis. This will allow organisations to engage with users in a dynamic, user-specific design, thus enhancing user engagement and satisfaction. Platforms such as Netflix, Amazon, and Spotify, already use artificial intelligence to tailor content and recommendations based on user behaviour patterns, ensuring user retention and high loyalty. Th

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Jung, Na Young. "AI-Powered Personalization Drives Loyalty in Retail." In Leveraging AI-Powered Marketing in the Experience-Driven Economy. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9561-5.ch004.

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This chapter delves into the transformative impact of AI-powered personalization within the retail sector, emphasizing its critical role in fostering deeper customer loyalty, enhancing engagement, and streamlining operations. It examines how retailers leverage machine learning (ML), natural language processing (NLP), and Generative AI (Gen AI) to analyze vast datasets and deliver loyalty-building personalized experiences across omnichannel platforms. The chapter features case studies of leading brands like Amazon, Starbucks, Sephora, and Walmart, showcasing how AI-driven loyalty initiatives, f

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Gupta, Vijay Prakash, and Mohammad Kashif. "Ai-Powered Data Analytics for Customer-Centric Insurance Experience." In Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815313833125010005.

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In the changing corporate landscape, the combination of Artificial Intelligence (AI) and data analytics has altered the insurance industry, resulting in a customer-centric paradigm through data-driven operations. AI-powered data analytics plays a critical role in helping clients understand, engage with, and select insurance services. This chapter delves into the detailed uses of AI-powered data analytics in the insurance sector, including AI assessment, problems, and ramifications, with a particular emphasis on product customization. The goal is to demonstrate how AIpowered data analytics is a

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Conference papers on the topic "AI-Powered Customer Experience"

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Nithya, M., Sakthi S, Lingadurai S, and Mohamedarsath B. "Revolutionizing Customer Experience with AI-Powered Chat bots and Virtual Assistants." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910297.

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Reddy, P. Phanindra Kumar, Fahimuddin Shaik, S. Sreedhar Gowd, V. Sudheer, S. Sivanand, and K. Siva Kumar. "Revolutionizing E-Commerce Customer Support: Advanced AI-Powered Chatbots for Enhanced User Experience & Operational Efficiency." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985646.

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Waladi, Chaimae, Mohammed Sefian Lamarti, and Mohamed Khaldi. "Transforming Customer Experiences with Customer-Centric AI-Powered Chatbots in the Fourth Industrial Revolution." In 2024 Mediterranean Smart Cities Conference (MSCC). IEEE, 2024. http://dx.doi.org/10.1109/mscc62288.2024.10697060.

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Khan, Shahzia, and Mubeena Iqbal. "AI-Powered Customer Service: Does it Optimize Customer Experience?" In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2020. http://dx.doi.org/10.1109/icrito48877.2020.9198004.

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Thakur, Hardeo Kumar, Jagendra Singh, Ayushi Saxena, Deepali Bhaskar, Amarendra Pratap Singh, and Pramod Kumar Garg. "Enhancing Customer Experience through AI-Powered Personalization: A Data Science Perspective in E-Commerce." In 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE). IEEE, 2024. http://dx.doi.org/10.1109/ic3se62002.2024.10592893.

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Prakashi Ashlin, R., and R. Mary Sophia Chitra. "A Study on Consumer Perception Regarding the Accuracy and Realism of AI- Powered Augmented Reality Try-Ons in Lenskart Application." In International Conference on Artificial Intelligence in Commerce and Management. Shanlax Publications, 2025. https://doi.org/10.34293/icaicm-25.ch028.

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The advent of Augmented Reality (AR) technology has revolutionized the way consumers interact with digital products, particularly in the eyewear industry. Lenskart, a leading online eyewear retailer, has integrated AI-powered AR try-on features into its mobile app to enhance customer experience by enabling virtual trials of eyewear. This study explores consumer perceptions regarding the accuracy and realism of these AI-powered AR try-ons. Through surveys and user feedback, the research evaluates how well customers perceive the technology's ability to simulate real-life try-on experiences, focu

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Presto, Jonathan, and Kar Wai Lee. "Enhancing Utility Customer Service and Compliance: An AI-Powered Approach to Call Analysis." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006051.

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This study presents a framework for analyzing customer service call transcripts using a Large Language Model (LLM) and unsupervised machine learning. We employed BERTopic to identify core topics from summarized transcripts, refined through an iterative process against internal best practices. The LLM then generated detailed call reasons and agent responses, mapped to standardized tags via an embedding model for consistency. This framework, implemented on a scalable GCP architecture with robust security measures, allows for granular root cause analysis and identification of customer sentiment t

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Javed, Ms Zenab, and Ms Insha Mirza. "ANALYZING THE INFLUENCE OF MYNTRA'S AI-POWERED VISUAL SEARCH ON YOUTH FASHION TRENDS AND SHOPPING HABITS IN BHOPAL." In Transforming Knowledge: A Multidisciplinary Research on Integrative Learning Across Disciplines. The Bhopal School of Social Sciences, 2025. https://doi.org/10.51767/ic250131.

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Myntra's AI-powered visual search technology is revolutionizing the shopping experience for Bhopal's youth by seamlessly integrating innovation with personalization. This study delves into the transformative impact of this advanced tool on consumer behavior, emphasizing its ability to streamline fashion discovery and purchasing while adapting to dynamic trends. The feature enhances convenience, efficiency, and user satisfaction by leveraging state-of-the-art AI algorithms, fostering deeper customer engagement. The research examines demographic factors such as age, gender, education, and income

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McKay, Mike, Gurjeet Bansal, and Tariq Ahmed. "Fixed AI-Powered Imaging for Automated Leak Detection on Offshore Production Platforms." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31992-ms.

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Abstract At the request of a major offshore producer in Thailand, an analytic edge-based leak detection vision technology was developed and implemented. The solution was the result of modifications made to an onshore system that was engineered in collaboration with a midstream operator and has been proven in various aboveground facilities and other industrial monitoring applications. One of the key changes involved making the product explosion-proof (Ex). The modified AI vision system addresses 1) the unique challenges of offshore platform environments (remoteness, harsh climate, network limit

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Wang, Rundong, Lin Yang, and Patrick Le. "Exploring the Synergistic Integration of Artificial Intelligence and Dropshipping: A Comprehensive Investigation into Optimizing Supply Chain Management, Enhancing Customer Experience, and Maximizing E-commerce Profitability through AI Driven Solutions." In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131336.

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The dropshipping industry presents significant challenges for entrepreneurs, particularly in product selection, website creation, and overall management of their online stores [1]. The sheer volume of products available, fierce competition, and the complexities of inventory management and customer service can be overwhelming for newcomers [2][3]. To address these issues, we propose a unique, AI-powered dropshipping platform that not only automates and optimizes essential aspects of running a dropshipping business but also offers a feature that distinguishes it from others: personalized website

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Reports on the topic "AI-Powered Customer Experience"

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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri

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