REDEFINING RETAIL: THE TRANSFORMATIVE IMPACT OF AI ON THE RETAIL INDUSTRY'S FUTURE
Keywords:
Artificial Intelligent, Retail Industry, Impact, Transformative, Supply ChainAbstract
The retail industry is undergoing a profound transformation driven by the adoption of artificial intelligence (AI). This systematic review examines the impact of AI across key areas, including supply chain optimization, personalization, omnichannel strategies, and decision-making. Using data from peer-reviewed studies and visual analyses with VOSviewer, the review identifies major trends, such as the integration of predictive analytics, generative AI, and sustainability practices. It also highlights challenges, including algorithmic bias and data privacy concerns, while proposing strategies for ethical and inclusive AI adoption. The findings underscore the importance of interdisciplinary approaches and collaboration among stakeholders to harness AI’s potential for innovation and sustainable growth. This study contributes to both theoretical knowledge and practical applications, offering actionable insights for researchers, practitioners, and policymakers in the retail sector.
References
Al-Ramahi, N., Kreishan, F. M., Hussain, Z., Khan, A., Alghizzawi, M., & Alwadi, B. M. (2024). Unlocking Sustainable Growth: The Role of Artificial Intelligence Adoption in Jordan Retail Sector, Moderated by Entrepreneurial Orientation. International Review of Management and Marketing, 14(6), 143–155. https://doi.org/10.32479/irmm.16843
Arma, O. (2022). THE IMPACT OF VIRTUAL ANCHOR PERCEIVED WARMTH AND COMPETENCE ON CONSUMER PURCHASE INTENTION IN DIGITAL MARKETING. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Bhalla, N. (2025). Role of AI in MSMEs and its impact on financial performance and business sustainability. In Diversity, AI, and Sustainability for Financial Growth (pp. 323–336). https://doi.org/10.4018/979-8-3693-6011-8.ch013
Dai, X., & Liu, Q. (2024). Impact of artificial intelligence on consumer buying behaviors: Study about the online retail purchase. Journal of Infrastructure, Policy and Development, 8(9). https://doi.org/10.24294/jipd.v8i9.7700
El Fawal, A., Mawlawi, A., Zakhem, N. B., Baydoun, H., Yassine, D., & Kassably, C. (2024). The impact of AI marketing activities on consumer-based brand equity: The mediating role of brand experience. Journal of Infrastructure, Policy and Development, 8(7). https://doi.org/10.24294/jipd.v8i7.3851
Francentius, J., & Syahchari, D. H. (2024). How Information Technology, the Internet of Things, and Artificial Intelligence Have Influenced Indonesian Retailers’ Inventory Management Practices. In Contributions to Management Science: Vol. Part F3767 (pp. 141–151). https://doi.org/10.1007/978-3-031-67531-7_13
Gupta, A. S., & Mukherjee, J. (2025). Framework for adoption of generative AI for information search of retail products and services. International Journal of Retail and Distribution Management, 53(2), 165–181. https://doi.org/10.1108/IJRDM-05-2024-0203
Haque, A., Akther, N., Khan, I., Agarwal, K., & Uddin, N. (2024). Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000–2023). Informatics, 11(4). https://doi.org/10.3390/informatics11040074
Ingriana, A., Prajitno, G. G., & Rolando, B. (2024). THE UTILIZATION OF AI AND BIG DATA TECHNOLOGY FOR OPTIMIZING DIGITAL MARKETING STRATEGIES. International Journal of Economics And Business Studies, 1(1), 21–42. https://doi.org/10.1234/IJEBS.V1I1.1
Karthikeyan, K., Banupriya, J., Shivakumar, S., Maheswari, R., & Dhanasekar, E. (2024). Leveraging Retail Business Outcomes: The Influence of Artificial Intelligence in ERP Systems on End Users. In Contributions to Finance and Accounting: Vol. Part F3769 (pp. 293–305). https://doi.org/10.1007/978-3-031-67547-8_25
Khneyzer, C., Boustany, Z., & Dagher, J. (2024). AI-Driven Chatbots in CRM: Economic and Managerial Implications across Industries. Administrative Sciences, 14(8). https://doi.org/10.3390/admsci14080182
Kolar, N., Milfelner, B., & Pisnik, A. (2024). Factors for Customers’ AI Use Readiness in Physical Retail Stores: The Interplay of Consumer Attitudes and Gender Differences. Information (Switzerland), 15(6). https://doi.org/10.3390/info15060346
Maachi, S. E., Chaibi, H., Jakimi, A., & Saadane, R. (2024). Environmental Implications and Sustainable Strategies in the Global Apparel Industry: Overcoming Climate Change Challenges with Artificial Intelligence. Lecture Notes in Networks and Systems, 887 LNNS, 235–248. https://doi.org/10.1007/978-3-031-74491-4_19
Madanchian, M. (2024). The Impact of Artificial Intelligence Marketing on E-Commerce Sales. Systems, 12(10). https://doi.org/10.3390/systems12100429
Maha, V. A., Hartono, S. D., Prajitno, G. G., & Hartanti, R. (2025). E-COMMERCE LOKAL VS GLOBAL: ANALISIS MODEL BISNIS DAN PREFERENSI KONSUMEN. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 21–44. https://doi.org/10.1234/JUMDER.V1I1.9
Malhan, S., Tanwar, A., Mewafarosh, R., Agnihotri, S., & Gupta, D. (2024). Sustainable Marketingand Retailing: A Cloud Computing and Internet of Things (IoT) Approach. In Integration of Cloud Computing and IoT: Trends, Case Studies and Applications (pp. 70–82). https://doi.org/10.1201/9781032656694-3
Mardhiyah, A. S. (2022). TECHNOLOGY’S ROLE IN RESHAPING THE E-COMMERCE LANDSCAPE. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Menaka, S., & Selvam, V. (2024). Bibliometric Analysis of Artificial Intelligence on Consumer Purchase Intention in E-Retailing. International Journal of Computational and Experimental Science and Engineering, 11(1), 1138–1146. https://doi.org/10.22399/ijcesen.1007
Mittal, A., Chaturvedi, D. D., Chaturvedi, S., & Singh, P. K. (2024). Impact of negative aspects of artificial intelligence on customer purchase intention: An empirical study of online retail customers towards AIEnabled E-Retail Platforms. In Demystifying the Dark Side of AI in Business (pp. 159–173). https://doi.org/10.4018/979-8-3693-0724-3.ch010
Mulyono, H. (2024). Pengaruh Diskon Tanggal Kembar Pada E-Commerce Terhadap Keputusan Pembelian | International Journal of Economics And Business Studies. International Journal of Economics And Business Studies (IJEBS), 1(1), 1–20. https://journal.dinamikapublika.id/index.php/IJEBS/article/view/2
Mulyono, H., Hartanti, R., & Rolando, B. (2025). SUARA KONSUMEN DI ERA DIGITAL: BAGAIMANA REVIEW ONLINE MEMBENTUK PERILAKU KONSUMEN DIGITAL. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 1–20. https://doi.org/10.1234/JUMDER.V1I1.10
Pei, J., Wang, R., Yan, P., & Tan, Y. (2025). Quality management in supply chain: Strategic implications and the paradox of AI inspection. Decision Sciences. https://doi.org/10.1111/deci.70003
Petrescu, M., Krishen, A. S., Gironda, J. T., & Fergurson, J. R. (2024). Exploring AI technology and consumer behavior in retail interactions. Journal of Consumer Behaviour, 23(6), 3132–3151. https://doi.org/10.1002/cb.2386
Prithi, M., & Tamizharasi, K. (2025). The Future of Retail Pricing: AI-powered Optimization and Customization. Journal of Information Systems Engineering and Management, 10, 483–488. https://doi.org/10.52783/jisem.v10i5s.668
Putri, L. W. B. (2022). TRACING THE DEVELOPMENT OF MARKETING IN THE AI ERA: A COMPREHENSIVE LITERATURE ANALYSIS. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Rahardja, B. V., Rolando, B., Chondro, J., & Laurensia, M. (2025). MENDORONG PERTUMBUHAN E-COMMERCE: PENGARUH PEMASARAN MEDIA SOSIAL TERHADAP KINERJA PENJUALAN. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 45–61. https://doi.org/10.1234/JUMDER.V1I1.6
Rana, J., Jain, R., & Nehra, V. (2024). Utility and Acceptability of AI-Enabled Chatbots on the Online Customer Journey in E-Retailing. International Journal of Computing and Digital Systems, 15(1), 323–335. https://doi.org/10.12785/ijcds/150125
Rolando, B. (2024). CULTURAL ADAPTATION AND AUTOMATED SYSTEMS IN E-COMMERCE COPYWRITING: OPTIMIZING CONVERSION RATES IN THE INDONESIAN MARKET. International Journal of Economics And Business Studies, 1(1), 57–86. https://doi.org/10.1234/IJEBS.V1I1.4
Rolando, B., & Ingriana, A. (2024). SUSTAINABLE BUSINESS MODELS IN THE GREEN ENERGY SECTOR: CREATING GREEN JOBS THROUGH RENEWABLE ENERGY TECHNOLOGY INNOVATION. International Journal of Economics And Business Studies, 1(1), 43–56. https://doi.org/10.1234/IJEBS.V1I1.3
Rolando, B., & Mulyono, H. (2025a). Diverse Learning Environments on Students Entrepreneurial Intentions. International Journal of Pedagogy and Teacher Education-9, 9(1), 119–137. https://doi.org/10.20961/ijpte.v9i1.98592
Rolando, B., & Mulyono, H. (2025b). E-Commerce as a Catalyst for Digital Economy Development: A Study of Marketing Strategies and Their Impact. Journal of Distribution Science, 23(4), 61–79. https://doi.org/10.15722/jds.23.04.202504.61
Rolando, B., Ariyanto, K., Alexia, K. R., & Hartanti, R. (2022). PERAN AI DAN BIG DATA DALAM MENGOPTIMALKAN STRATEGI PEMASARAN DIGITAL. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Rolando, B., Chandra, C. K., & Widjaja, A. F. (2025). TECHNOLOGICAL ADVANCEMENTS AS KEY DRIVERS IN THE TRANSFORMATION OF MODERN E-COMMERCE ECOSYSTEMS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Rolando, B., Widjaja, A. F., & Chandra, C. K. (2025). UNDERSTANDING FASHION PURCHASING DECISIONS: A SYSTEMATIC REVIEW OF CONSUMER BEHAVIOR IN RETAIL (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/mosaic
Sakaline, G., & Buics, L. (2024). Advancing Towards Sustainable Retail Supply Chains: AI-Driven Consumer Segmentation in Superstores †. Engineering Proceedings, 79(1). https://doi.org/10.3390/engproc2024079073
Setiawan, B. L. T. (2022). ANALISIS PERAN AUGMENTED REALITY (AR) DALAM PEMASARAN DAN DAMPAKNYA PADA PERILAKU KONSUMEN. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Tan, D. M. (2022). A SYSTEMATIC REVIEW OF THE AI-POWERED MARKETING REVOLUTION: FROM TRADITIONAL TO DATA-DRIVEN APPROACHES. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Wang, Q., Ji, X., & Zhao, N. (2024). Embracing the power of AI in retail platform operations: Considering the showrooming effect and consumer returns. Transportation Research Part E: Logistics and Transportation Review, 182. https://doi.org/10.1016/j.tre.2023.103409
Wang, Y., Gao, J., Cheng, T. C. E., Jin, M., Yue, X., & Wang, H. (2025). Is it necessary for the supply chain to implement artificial intelligence-driven sales services at both the front-end and back-end stages? Transportation Research Part E: Logistics and Transportation Review, 194. https://doi.org/10.1016/j.tre.2024.103923
Widjaja, A. F. (2025). FACTORS INFLUENCING PURCHASE INTENTION IN E-COMMERCE: AN ANALYSIS OF BRAND IMAGE, PRODUCT QUALITY, AND PRICE. 1(3). https://journal.dinamikapublika.id/index.php/Jumder
Wijaya, A. J. (2022). PERAN DAN IMPLEMENTASI TEKNOLOGI KECERDASAN BUATAN DALAM PENGALAMAN KONSUMEN E-COMMERCE: SEBUAH TINJAUAN SISTEMATIS. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Winata, V. (2022). OPTIMIZING BIG DATA PROCESSING THROUGH ARTIFICIAL INTELLIGENCE: A SYSTEMATIC LITERATURE REVIEW. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Zhou, W., Ding, Y., Gan, Y., & Ma, W. (2025). Manufacturer’s encroachment strategies when facing the retail platform with AI-driven pricing. Computers and Industrial Engineering, 203. https://doi.org/10.1016/j.cie.2025.111003