Digital Transformation in Retail Management: The Impact of AI Technology on Customer Experience in Physical and Online Retail
DOI:
https://doi.org/10.55606/jebaku.v5i3.5919Keywords:
Artificial Intelligence, Customer Experience, Digital Transformation, Omnichannel Integration, Retail ChannelsAbstract
This study examines the influence of artificial intelligence (AI) and digital transformation on customer experience (CX) within Indonesia’s retail sector, focusing on physical, online, and hybrid shopping environments. Employing a qualitative exploratory design and semi-structured interviews, the research uncovers four central themes: AI-driven personalization, the role of omnichannel integration, organizational technological readiness, and differentiation of experiences across retail channels. The findings highlight that AI facilitates superior CX primarily through real-time personalization, enabling tailored interactions that respond dynamically to customer needs. Moreover, omnichannel integration emerges as a critical mechanism that ensures a seamless and consistent customer journey across various touchpoints.
The study further reveals that customer perceptions of AI-enabled services vary depending on the retail channel. Physical stores emphasize tangible interactions and human engagement, online platforms highlight efficiency and convenience, while hybrid models deliver a blend of personalized digital features and physical experience. These differences demonstrate the moderating role of channel type in shaping how customers interpret the value of AI-driven services.
From a theoretical standpoint, this research extends the literature by synthesizing Service-Dominant Logic (SDL), the Technology Acceptance Model (TAM), and Omnichannel Service Integration Theory into a coherent framework for analyzing CX in digitally transformed retail environments. Practically, it provides actionable insights for retailers on designing service strategies that are transparent, customer-centric, and context-sensitive. By doing so, businesses can align emerging technologies with ethical considerations while maintaining consumer trust.
Ultimately, this study underscores the importance of adaptive innovation and responsible use of AI in achieving superior, consistent, and sustainable customer experiences. In rapidly evolving retail ecosystems, balancing technological capabilities with human values is essential for delivering meaningful and competitive service encounters.
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Bartikowski, B., Laroche, M., Richard, M. O., & Yang, Z. (2021). A cross-national study of customer experience in physical and online retail. Journal of Business Research, 129, 912–923. https://doi.org/10.1016/j.jbusres.2020.03.045
Becker, L., & Jaakkola, E. (2020). Customer experience: Fundamental premises and implications for research. Journal of the Academy of Marketing Science, 48(4), 630–648. https://doi.org/10.1007/s11747-019-00718-x
Edelman, D. C., & Abraham, M. (2022). How AI is changing the customer experience. Harvard Business Review, 100(2), 114–121.
Flavián, C., Ibáñez-Sánchez, S., & Orús, C. (2020). The impact of virtual, augmented, and mixed reality technologies on the customer experience. Journal of Business Research, 100, 547–560. https://doi.org/10.1016/j.jbusres.2018.10.050
Grewal, D., Roggeveen, A. L., & Nordfält, J. (2021). The future of retailing. Journal of Retailing, 97(1), 1–6. https://doi.org/10.1016/j.jretai.2020.12.002
Gursoy, D., Chi, C. G., Lu, L., & Nunkoo, R. (2020). Consumers' acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169. https://doi.org/10.1016/j.ijinfomgt.2019.12.008
Herhausen, D., Kleinlercher, K., Verhoef, P. C., Emrich, O., & Rudolph, T. (2020). Loyalty formation for different customer journey segments. Journal of Retailing, 96(4), 526–546. https://doi.org/10.1016/j.jretai.2020.08.001
Holmqvist, J., Ruiz, C. D., & Peñaloza, L. (2020). Moments of luxury: Hedonic escapism as a luxury experience. Journal of Business Research, 116, 503–513. https://doi.org/10.1016/j.jbusres.2019.12.031
Hossam, E., Fatima, N., & Wei, L. (2024). Real-time AI video analytics for retail behavior insights: Evidence from in-store implementations. Computers in Human Behavior Reports, 8, 100254.
Huang, M. H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–13. https://doi.org/10.1177/1094670520902266
Ibrahim, M., Ali, M., & Kim, S. H. (2025). A framework for AI-integrated omnichannel customer experience. Journal of Retailing and Consumer Services, 74, 103442.
Jocevski, M. (2020). Blurring the lines between physical and digital: Business model innovation in retailing. California Management Review, 62(3), 94–117. https://doi.org/10.1177/0008125620916244
Jonathan, D., & Kuika Watat, J. (2020). Digital transformation in retailing: A review. Journal of Retailing and Consumer Services, 52, 101923. https://doi.org/10.1016/j.jretconser.2019.101923
Klaus, P., & Maklan, S. (2022). Bridging the gap: Customer experience, brand equity, and brand value. Journal of Strategic Marketing, 30(1), 1–17. https://doi.org/10.1080/0965254X.2020.1810212
Lesiak, W., Ostrowska, K., & Wei, S. (2024). Voice assistants in physical stores: Impact on operational efficiency and satisfaction. International Journal of Retail & Distribution Management, 52(1), 14–29.
Lemon, K. N., & Verhoef, P. C. (2020). Understanding customer experience throughout the customer journey. Journal of Marketing, 84(1), 69–96. https://doi.org/10.1177/0022242919879147
Marinova, D., de Ruyter, K., Huang, M. H., Meuter, M. L., & Challagalla, G. (2021). Getting smart: Learning from service experiences with AI. Journal of Service Research, 24(1), 104–121. https://doi.org/10.1177/1094670520952538
Nagy, A., & Hajdu, G. (2022). The psychological impact of AI in digital retail. Journal of Consumer Psychology, 32(3), 467–481.
Pantano, E., & Pizzi, G. (2020). Enhancing the online decision-making process: The impact of interactive technologies. Journal of Retailing and Consumer Services, 56, 102135. https://doi.org/10.1016/j.jretconser.2020.102135
Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2020). Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak. Journal of Business Research, 116, 209–213. https://doi.org/10.1016/j.jbusres.2020.05.036
Rafaeli, A., Altman, D., Gremler, D. D., Huang, M. H., Grewal, D., Iyer, B., & Parasuraman, A. (2021). Technology and service quality: The moderating role of customer readiness. Journal of Service Management, 32(2), 255–272.
Roggeveen, A. L., & Sethuraman, R. (2020). Customer interfacing retail technologies: A conceptual framework and research agenda. Journal of Retailing, 96(3), 299–309. https://doi.org/10.1016/j.jretai.2020.04.008
Susanti, D., Widodo, A., & Suryanto, T. (2023). Organizational transformation and customer-centric innovation in Indonesian retail. Asian Journal of Business Research, 13(1), 112–127.
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Wilson, H. J., Daugherty, P. R., & Davenport, T. H. (2024). The AI-powered organization: How smart companies use AI to innovate and compete. MIT Sloan Management Review, 65(2), 50–59.
Xu, X., Wang, X., Li, Y., & Haghighi, M. (2022). Customer acceptance of AI in service encounters: A moderated mediation model. Journal of Business Research, 144, 686–698.
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