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

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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Deekshitha Kosaraju, Deekshitha. "AI -Powered Content Management: How Adobe Experience Manager (AEM) and OpenAI Elevate SEO and Customer Engagement." International Journal of Research and Review 10, no. 10 (2024): 541–46. https://doi.org/10.52403/ijrr.20231069.

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The way organizations handle their content is undergoing a transformation with the incorporation of Artificial Intelligence (AI). Adobe Experience Manager (AEM) when combined with the capabilities of OpenAI’s technology marks a step forward in AI driven content management that boosts Search Engine Optimization (SEO) and enhances engagement, with customers. Through the power of AI technology content managers are able to streamline content creation processes enhance the precision of metadata labeling and offer tailored content experiences on a scale. This change does not enhance SEO rankings but

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Ashok Choppadandi. "Enhancing Customer Experience in E-Commerce Through AI-Powered Personalization: A Case Study." Tuijin Jishu/Journal of Propulsion Technology 43, no. 4 (2023): 516–24. http://dx.doi.org/10.52783/tjjpt.v43.i4.6018.

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Aim: This study is intended to engage in the in-depth study of AI-enabled personalization tactics on the quality of customer experience as competition informs the e-commerce environment. The research employs a case study assessment of a prominent world-wide retailer with the primary aim of revealing the dominant influence of cutting-edge AI personalisation technology in actual applications. Methods: The study applied the mixed-methods research, which was made up of quantitative as well as qualitative research techniques such as sound data analysis and field research approaches to arrive at a c

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Mascarenhas, Kishen Vivel. "AI-Powered Autonomous Checkout System for Retail Stores." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 2744–50. http://dx.doi.org/10.22214/ijraset.2024.62209.

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Abstract: Auto Bill offers a smart, automated checkout service for shops, leveraging state-of-the-art machine learning and computer vision technologies to provide an exceptional shopping experience. Designed to minimize interactions for security purposes during the pandemic, the innovation lies in utilizing modern techniques like image processing and weight sensors to create a novel shopping experience. This system aims to surpass traditional weight scales by incorporating advanced image recognition technologies, benefiting customers with a highly user-friendly interface, reduced checkout time

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Fale, Dr Pradeep. "AI-Powered Visual E-Commerce." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 59–65. https://doi.org/10.22214/ijraset.2025.70049.

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Abstract: The explosion of social media and artificial intelligence (AI) has turned online shopping more interactive and engaging. This research introduces AI-based Visual E-Commerce, a novel platform that combines short-form video content (reels) with AI-based personalized product recommendations. Drawing inspiration from Instagram and Flipkart, this system facilitates users to browse clothing items through dynamic reels, using computer vision and machine-learning algorithms to interpret user preferences and make suitable apparel recommendations. The design increases user engagement by offeri

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Rapeerat, Thanyawatpornkul. "Implementing AI-driven Customer Relationship Management (CRM) systems: Enhancing customer experience in the retail industry of Thailand." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 1691–99. https://doi.org/10.5281/zenodo.15039327.

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This research explores the impact of AI-driven Customer Relationship Management (CRM) systems on enhancing customer experience in Thailand's retail industry. However, quantitative data analysis was conducted to focus on the 'how' of AI technologies, such as chatbots, predictive analytics, and personalized marketing, to improve customer satisfaction, retention, and sales conversion rates. It also denotes from the analysis of customer transaction data, CRM interaction logs, and sales performance metrics that there has been a very significant improvement in operational efficiency and customer loy

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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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ZAKARIA, MAI MOHAMMAD ASAD, Mohamed Doheir, Norfaridatul Akmaliah, and Noorayisahbe Bt Mohd Yaacob. "Infinite Potential of AI Chatbots: Enhancing User Experiences and Driving Business Transformation in E-commerce: Case of Palestinian E-Commerce." Journal of Ecohumanism 3, no. 5 (2024): 216–29. http://dx.doi.org/10.62754/joe.v3i5.3896.

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In the much-evolving digital age landscape, it is difficult to overlook artificial intelligence's enormous role in people. This study entails an empirical examination of the impact of AI-powered chatbots on improving customer experience, customer satisfaction, and potential benefits in the digital era. This study was handled by the use of quantitative data collection methods through an online survey from 221 online users of AI-powered chatbots in Palestine. The collected data was then analyzed using descriptive statistics and structural equation modeling techniques. According to the results, i

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Sunitha, V., and S. Ramola Pon Malar. "Digital Banking using AI." Thiagarajar College of Preceptors Edu Spectra 7, S1 (2025): 25–36. https://doi.org/10.34293/eduspectra.v7is1-feb25.003.

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Digital banking powered by artificial intelligence (AI) is transforming the financial industry by enhancing customer experiences, improving security, and streamlining operations. AI technologies, such as Chatbots, fraud detection systems, and predictive analytics, enable banks to provide personalized services, detect fraudulent activities in real-time, and make data-driven decisions. AI also allows for efficient credit scoring, risk management, and tailored financial advice, making banking services more accessible and convenient. One of the most significant applications of AI in digital bankin

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Ezekiel Onyekachukwu Udeh, Prisca Amajuoyi, Kudirat Bukola Adeusi, and Anwulika Ogechukwu Scott. "AI-Enhanced Fintech communication: Leveraging Chatbots and NLP for efficient banking support." International Journal of Management & Entrepreneurship Research 6, no. 6 (2024): 1768–86. http://dx.doi.org/10.51594/ijmer.v6i6.1164.

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The convergence of artificial intelligence (AI) and financial technology (fintech) has revolutionized the way banks and financial institutions communicate with customers. This paper explores the use of AI-enhanced fintech communication, focusing on the utilization of chatbots and natural language processing (NLP) to provide efficient banking support. AI-powered chatbots have become indispensable tools for banks seeking to enhance customer service and streamline communication channels. By leveraging NLP algorithms, these chatbots can understand and respond to customer queries in real-time, prov

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Sasanuma, Katsunobu, and Gyung Yeol Yang. "Evaluating the Effectiveness of Recommendation Engines on Customer Experience Across Product Categories." International Journal of Technology and Human Interaction 20, no. 1 (2024): 1–22. http://dx.doi.org/10.4018/ijthi.345928.

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Artificial intelligence (AI)-powered tools such as recommendation engines are widely used in online marketing and e-commerce; however, online retailers often deploy these tools without understanding which human factors play a role in which products and at which stage of the customer journey. Understanding the interaction between AI-powered tools and humans can help practitioners create more effective online marketing platforms and improve human interaction with e-commerce tools. This paper examines customers' reliance on recommendation engines when purchasing fashion goods, electronics, and me

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Sohaib uz Zaman, Erum Parveen, and Syed Hasnain Alam. "AI to Enhance the Transactional Security in Digital Banking." Journal of Management & Social Science 2, no. 2 (2025): 1–22. https://doi.org/10.63075/2apb3z22.

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The integration of artificial intelligence (AI) has enhanced banking operations by providing improved customer service, security, and efficiency. For data privacy and security, Banks must implement robust data security measures to gain customer trust as well as comply with regulatory requirements. Therefore, this study examined whether AI-based security systems can augment transactional safety, secure pay systems, and strengthen customer trust in digital banks. Quantitative research design and stratified random sampling technique is used for data collection. Questionnaire is filled up with dig

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Gupta, Granthana Sen. "AI Camera: A Unique Technology for Shopping Centers with Super Personalization." Journal of Research in Science and Engineering 7, no. 1 (2025): 53–58. https://doi.org/10.53469/jrse.2025.07(01).08.

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This article is about making shopping experiences more personalized using hyper AI technology in retail malls. This could be achieved by using IndoAI AI cameras. Here hyper AI personalization combines facial recognition technology and real - time advertising to create a unique shopping experience for each customer. The article explains the main elements of this framework and shows how Mall used it to improve customer satisfaction. By using IndoAI's advanced facial recognition system, Mall will able to show ads tailored to each customer's preferences and behavior. This proposed case study shows

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Gowsiga, G., and S. Rahini. "Customer Perception on AI-Enabled 3D Graphics in E-commerce Platforms." International Journal of Engineering and Management Research 15, no. 1 (2025): 134–41. https://doi.org/10.5281/zenodo.15062249.

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The incorporation of AI-enabled 3D graphics is transforming the e-commerce sector by enhancing how customers experience products online. This study investigated customer perception of AI-driven 3D graphics on e-commerce platforms, focusing on their impact on engagement, satisfaction, and purchasing decisions. With features like virtual try-on and interactive 3D product views, e-commerce platforms are addressing traditional online shopping limitations, allowing customers to visualize products more accurately and make informed choices. This research explored how users perceive the benefits of th

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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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Osly Usman and Rafilino Sastrodiningrat. "The Influence of Artificial Intelligence in Chatbots and Website Personalization on Customer Engagement with User Experience as an Intervening Variable." International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM) 3, no. 1 (2025): 2635–53. https://doi.org/10.21009/isc-beam.013.190.

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This study examines the influence of Artificial Intelligence (AI) in chatbots and websitepersonalization on customer engagement, with user experience serving as a mediatingvariable. The integration of AI in digital platforms has revolutionized how businessesinteract with their customers by providing more efficient and customized services.AI-powered chatbots enable instant communication, addressing customer inquiries andissuespromptly, while website personalization tailors content, design, andrecommendations to individual user preferences, enhancing relevance and satisfaction.Adopting a quantit

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Rapeerat Thanyawatpornkul. "Implementing AI-driven Customer Relationship Management (CRM) systems: Enhancing customer experience in the retail industry of Thailand." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 1691–99. http://dx.doi.org/10.30574/wjarr.2024.24.1.3154.

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This research explores the impact of AI-driven Customer Relationship Management (CRM) systems on enhancing customer experience in Thailand's retail industry. However, quantitative data analysis was conducted to focus on the 'how' of AI technologies, such as chatbots, predictive analytics, and personalized marketing, to improve customer satisfaction, retention, and sales conversion rates. It also denotes from the analysis of customer transaction data, CRM interaction logs, and sales performance metrics that there has been a very significant improvement in operational efficiency and customer loy

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Researcher. "THE EDGE OF INNOVATION: HOW AI-POWERED COMPUTING IS REVOLUTIONIZING CUSTOMER EXPERIENCE." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 648–57. https://doi.org/10.5281/zenodo.13884219.

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This article explores the transformative impact of edge computing on AI-driven customer experience (CX), examining how the convergence of these technologies is reshaping customer interactions across various industries. By processing AI workloads closer to the point of data generation, edge computing addresses critical limitations of cloud-based systems, such as latency and privacy concerns, enabling real-time, personalized, and context-aware customer engagements. The article delves into the theoretical framework of edge computing architecture, recent advancements in lightweight AI models optim

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S. Logalakshmi and S. Poornima. "AI-POWERED PERSONALIZATION ALGORITHMS FOR DIGITAL MARKETING." International Journal of Trendy Research in Engineering and Technology 09, no. 03 (2025): 45–49. https://doi.org/10.54473/ijtret.2025.9306.

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This research examines the impact of AI-powered personalization algorithms on digital marketing strategies. As customer engagement and content personalization become critical for business success, AI technologies like machine learning, data mining, and deep learning are employed to customize marketing tactics for individual consumers. The study investigates how these algorithms enhance the overall customer experience, increase marketing ROI, and improve conversion rates by offering personalized content in real-time. A survey of 81 participants from diverse industries assesses their views on pe

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Uchechukwu Christopher Anozie, Obinna Barnabas Onyenahazi, Prince Chukwuemeka Ekeocha, Adeleke Damilola Adekola, Chifum Ann Ukadike, and Omodunni Adejoke Oloko. "Advancements in artificial intelligence for omnichannel marketing and customer service: Enhancing predictive analytics, automation, and operational efficiency." International Journal of Science and Research Archive 12, no. 2 (2024): 1621–29. http://dx.doi.org/10.30574/ijsra.2024.12.2.1436.

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Gone are the days of impersonal customer service and generic marketing. Artificial intelligence (AI) is changing how businesses interact with customers, making interactions personalized and smooth across every platform. This transformation is powered by AI's capability to predict what customers want, automate routine tasks, and analyze large volumes of data. The Predictive Power of AI examines customer data to predict their preferences. Imagine receiving targeted ads and product recommendations that seem tailored exactly to your preferences! This personalized marketing approach enhances engage

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Jing, Ziyi, Tachakorn Wongkumchai, Chulalux Soprakan, and Ntapat Worapongpat. "ASSESSING THE ROLE OF AI-POWERED CHATBOTS IN IMPROVING CUSTOMER EXPERIENCE IN PHARMACEUTICAL E-COMMERCE BUSINESSES IN BEIJING." RMUTT GLOBAL BUSINESS ACCOUNTING AND FINANCE REVIEW 8, no. 1 (2024): 31–48. http://dx.doi.org/10.60101/gbafr.2024.271628.

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Purpose – The advent of new technologies like artificial intelligence in service industries has become a vital factor in creating a positive customer experience. The primary objective of organizations nowadays is developing excellent customer service that makes their customers satisfied, enhances their purchasing experience, and fosters engagement and loyalty. To achieve this, AI-enabled chatbots are widely used by businesses as they are more reliable, convenient, and accessible, provide quick resolutions as well as provide tailored recommendations for customers. This study examines the role o

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Arcot, Siva Venkatesh. "Comparative Analysis of AI-powered Outbound Dialer Campaigns vs. Legacy Outbound Dialer Campaigns (Contact Center)." Asian Journal of Research in Computer Science 18, no. 3 (2025): 73–84. https://doi.org/10.9734/ajrcos/2025/v18i3580.

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Aim: Scope of this work aims to explore the effectiveness of AI-powered outbound dialer campaigns with legacy outbound dialer campaigns by evaluating their technological capabilities, operational efficiencies, compliance features, customer experience impact, cost-effectiveness, and scalability. Study Design: This is a comparative analysis study evaluating two types of outbound dialer systems used in customer engagement campaigns. Place and Duration of Study: This study is based on a review of industry practices and integration strategies in contact centers across various organizations, focusin

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Nagarajan, Fnu. "Automating Customer Experience in Ride-Hailing Platforms via AI-Powered Support Systems." International Journal of Multidisciplinary Research and Growth Evaluation. 3, no. 1 (2022): 834–36. https://doi.org/10.54660/.ijmrge.2022.3.1.834-836.

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With the rapid expansion of ride-hailing services, customer support has become a pivotal aspect of ensuring user satisfaction and operational efficiency. Traditional customer support systems, relying on third-party platforms, have often faced challenges in customization, performance optimization, and seamless integration with internal ride-hailing data. This paper presents a case study on how Lyft developed an AI-powered, machine-learning-driven customer support system to address these limitations. By leveraging internal infrastructure, automation, and intelligent decision-making, Lyft success

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Anuja, More, and Unnikrishnan Roshin. "AI-Powered Analytics in Product Marketing Optimizing Customer Experience and Market Segmentation." Sarcouncil Journal of Multidisciplinary 4, no. 11 (2024): 12–19. https://doi.org/10.5281/zenodo.14057597.

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This study explores the role of AI-powered analytics in transforming product marketing, focusing on how AI-driven tools enhance customer experience, optimize market segmentation, and drive personalized engagement. Through a mixed-methods approach, we assess the effectiveness of AI tools, including Salesforce Einstein, IBM Watson, Google Analytics 360, and Microsoft Azure ML, in refining segmentation strategies, improving customer satisfaction, and enabling real-time adjustments. Our findings indicate that AI enables precise behavioral, predictive, and sentiment-based segmentation, which signif

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Arora, Ridhima. "Bridging the Gap Between Offline and Online Presence in E-commerce: The Role of Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem33002.

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This paper explores how artificial intelligence (AI) is transforming e-commerce by seamlessly integrating offline and online customer experiences. With the rise of omnichannel shopping, consumers demand consistent and personalized interactions across digital and physical touchpoints. AI enables this integration by leveraging advanced analytics, machine learning, and real-time data synchronization to optimize inventory management, enhance customer personalization, and streamline in-store-to-online transitions. The study highlights practical implementations, such as AI-driven recommendation engi

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Sahu, Sneha. "The Role of AI Chatbots in Enhancing Online Customer Experiences." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04280.

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Abstract This research paper explores the transformative role of AI-powered chatbots in reshaping online customer experiences. With the rise of e-commerce and digital services, businesses are increasingly adopting AI chatbots to offer instant support, personalized interactions, and round-the-clock availability. The study investigates how chatbot integration improves customer satisfaction, operational efficiency, and brand engagement. Using both primary and secondary data, the research analyzes key success factors, challenges, and future directions in chatbot technology. The findings suggest th

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Dr., Sunil Kumar Yadav. "Exploring AI-powered Banking Apps as A New Financial Trend – Does It Enhance Consumer Experience?" ESSBC JOURNAL OF BUSINESS STUDIES II, no. I (2024): 31–56. https://doi.org/10.5281/zenodo.13996146.

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<strong>Abstract:</strong> The purpose of this study is to better comprehend customer perceptions regarding AI-driven banking apps, including their acceptance, concerns, and the factors influencing trust. The article highlights the revolutionary significance of AI by exploring its evolution in banking and providing a summary of the various variables that affect user experience, based on a survey of the literature. A survey of 142 respondents yielded data showing that people between the ages of 25 and 44 frequently used banking applications, with those in the workforce being the most regular us

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Kaur, Harsandaldeep. "Artificial Intelligence and Commerce: Revolutionizing Marketing, Sales, and Customer Experience." Innovative Research Thoughts 10, no. 2 (2024): 51–56. http://dx.doi.org/10.36676/irt.v10.i2.07.

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Various sectors are seeing a dramatic shift in their marketing, sales, and customer experience strategies as a result of the integration of artificial intelligence (AI) in commerce. AI's revolutionary potential to improve company operations and consumer engagement, as well as its effects on commerce. Businesses can now automate tedious activities, analyse massive quantities of data, and customise interactions with consumers at scale thanks to artificial intelligence (AI) technologies like machine learning, natural language processing, and predictive analytics. Businesses may improve their mark

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Chowhan, Giridhar Raj Singh. "AI-Powered Personalization in Retail: Technical Implementation and Business Impact." European Journal of Computer Science and Information Technology 13, no. 14 (2025): 172–83. https://doi.org/10.37745/ejcsit.2013/vol13n14172183.

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This comprehensive article examines the transformative impact of artificial intelligence on retail personalization strategies. The article explores the technical architecture underpinning AI-powered retail systems, including data collection infrastructure, processing pipelines, and specialized machine learning models that enable personalized customer experiences. It addresses implementation challenges like real-time processing requirements and cold start problems while detailing key business applications such as intelligent product recommendations, dynamic pricing optimization, personalized ma

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Duong Hoai Lan, Tran Minh Tung,. "Ai-Powered Customer Experience: Personalization, Engagement, and Intelligent Decision-Making in Crm." Journal of Electrical Systems 20, no. 5s (2024): 55–71. http://dx.doi.org/10.52783/jes.1832.

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There has been a recent increase in interest regarding the remarkable potential of artificial intelligence (AI) to profoundly transform online advertising. The purpose of this research is to critically assess how AI can enhance customer experience (CX) in various business applications. We aim to identify important concepts, evaluate the impact of AI-powered CX initiatives, and offer suggestions for future research. By conducting a thorough analysis of academic publications, industry reports, and case studies, this study extracts theoretical frameworks, empirical findings, and practical insight

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Adjei, Stella. "Using AI and ML to Completely Change the Customer Experience in Crm Applications." Journal of Research in Science and Engineering 6, no. 8 (2024): 73–77. http://dx.doi.org/10.53469/jrse.2024.06(08).16.

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Customer relationship management (CRM) software has become essential for businesses, enabling them to manage customer interactions and foster relationships effectively. This software encompasses features such as customer data management, sales and marketing automation, and customer service tools. In today's competitive landscape, CRM has evolved into a strategic necessity for companies aiming to enhance customer experiences and gain a competitive edge. The integration of machine learning (ML) and artificial intelligence (AI) has significantly transformed CRM software development. These technol

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Bansal, Dr Jyoti. "Effectiveness of AI-powered CRM tools in enhancing customer experience." International Journal of Research in Marketing Management and Sales 7, no. 1 (2025): 330–32. https://doi.org/10.33545/26633329.2025.v7.i1d.243.

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Dr. R. Ramki, Dr. V. Gopi, Mrs Vidya. R, Dr. Rohit Markan, Dr Sundarapandiyan Natarajan, and M.Rajalakshmi. "AI-Powered Chatbots in Customer Service: Impact on Brand Loyalty and Conversion Rates." Economic Sciences 20, no. 2 (2024): 190–203. http://dx.doi.org/10.69889/vs5gtv52.

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The rapid integration of artificial intelligence (AI) in customer service has revolutionized how businesses interact with their customers. Among AI technologies, chatbots have emerged as a pivotal tool for enhancing customer experience, and offering real-time, personalized support. This research article explores the impact of AI-powered chatbots on brand loyalty and conversion rates. By analyzing case studies, existing literature, and empirical data, this study examines how chatbots influence customer satisfaction, trust, and long-term engagement, which are essential drivers of brand loyalty.

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Walia, Dr Davinder. "AI-Powered Customer Personalization in Banking: A Study of Predictive Analytics and User Experience." International Journal of Environmental Sciences 11, no. 1s (2025): 862–71. https://doi.org/10.64252/wwewna47.

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Background: The use of Artificial Intelligence (AI) in banking has changed the way customer care is delivered by providing tools for predictive analytics and personalised engagement. AI-driven personalisation has become a crucial way for banks to improve the user experience as they try to keep up with changing client expectations in the digital age. Objective: This study looks at how AI-powered predictive analytics may help personalise the experience for customers and how it affects their experience in digital banking settings. Methods: We used a quantitative study design and a structured ques

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Walia, Dr Davinder. "AI-Powered Customer Personalization in Banking: A Study of Predictive Analytics and User Experience." International Journal of Environmental Sciences 11, no. 2s (2025): 730–39. https://doi.org/10.64252/y5dfee81.

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Background: The use of Artificial Intelligence (AI) in banking has changed the way customer care is delivered by providing tools for predictive analytics and personalised engagement. AI-driven personalisation has become a crucial way for banks to improve the user experience as they try to keep up with changing client expectations in the digital age. Objective: This study looks at how AI-powered predictive analytics may help personalise the experience for customers and how it affects their experience in digital banking settings. Methods: We used a quantitative study design and a structured ques

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M, Ms Pushpalatha. "Virtual Banker at your Fingertips Using Chatbot System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40744.

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The Virtual Banker systemThrough AI-Powered chatbots, real-time announcements, and video call support, it will ensure an extremely smooth and interactive banking experience for its users. The improvements in this system include a responsive user interface with integration of AI and APIs to provide dynamically interactive responses and backend secure connectivity to fetch data in real time. This also includes the features dynamic announcement management, live escalation on chat, analytics-driven improvements, and more. Scalable, optimized performance, and robust security, the system is capable

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Yoga Adiyanto. "The Future of Virtual Shopping Assistants : AI-Powered Solutions for a Personalized Marketplace Experience." Green Inflation: International Journal of Management and Strategic Business Leadership 2, no. 2 (2025): 59–73. https://doi.org/10.61132/greeninflation.v2i2.323.

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The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual s

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Pendy, Bimalendu. "Role of AI in Business Management." Brilliance: Research of Artificial Intelligence 3, no. 1 (2023): 48–55. http://dx.doi.org/10.47709/brilliance.v3i1.2191.

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The article discusses the increasing applications of AI in business management. In sales and marketing, AI-powered tools can help businesses understand customer needs, create personalized marketing campaigns, and improve customer engagement. AI is also revolutionizing supply chain management, improving efficiency, and agility by analyzing real-time data. Customer service is also transforming through AI-powered chatbots that handle routine queries, allowing human agents to focus on more complex issues. In financial analysis, AI provides accurate and timely insights into financial performance, r

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Upasana, Das. "AI Powered Consumer Behavior in e-Commerce." International Journal of Contemporary Research in Multidisciplinary 3, no. 4 (2024): 01–13. https://doi.org/10.5281/zenodo.12679257.

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As the e-commerce industry continues to evolve, artificial intelligence (AI) has emerged as a powerful tool for understanding and influencing consumer behavior. This review explores the convergence of e-commerce and consumer behavior, emphasizing the significant influence of AI-driven personalization on market trends. AI-powered technologies have the ability to analyze vast amounts of data in real-time, providing valuable insights into consumer preferences, shopping patterns, and decision-making processes. By leveraging AI algorithms, e-commerce retailers can personalize the shopping experienc

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U S, Siva Sakthii, Pradeepa M, Janani D, Neena Murali, and Narmatha M. "AI-Powered Retail Insights and Query System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem40093.

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The dynamic retail industry demands efficient and intelligent solutions to address operational challenges and enhance customer experience. This paper presents an AI- powered system equipped with three core functionalities: (1) Retail shelf analysis using YOLOv5 to detect empty shelf spaces or identify products, (2) A text-to-query interface allowing users to upload database files and perform SQL queries using natural language, and (3) Sentiment analysis to extract valuable insights from customer feedback. The system is deployed via Streamlit and leverages CI/CD pipelines on GitHub and AWS EC2

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TIUTIU, Miriam. "TECHNOLOGIES THAT FACILITATE DIRECT INTERACTIONS WITH CUSTOMERS." Revista Economica 75, no. 3 (2023): 89–94. https://doi.org/10.56043/reveco-2023-0030.

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This paper presents research on technologies that can facilitate direct interactions with customers, offering unique and attractive experiences when using artificial intelligence. As per the 2019 survey conducted by BearingPoint, two major categories of developing AI technologies are found to enhance the overall customer experience: (1) technologies that allow direct interaction with customers, and (2) technologies that enable more efficient handling of customer requests and expectations. Regarding the technologies that facilitate direct interactions with customers, there are POS technologies,

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