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THE ROLE OF SI INNOVATION IN RETAIL: CONSUMER ENGAGEMENT, BUYING HABITS AND MARKETING STRATEGY

Affiliation
Professor of the "Marketing" department of the Tashkent State University of Economics

Abstract

In the evolving digital retail landscape, consumers increasingly demand personalized experiences. This study explores how SI -driven retail interfaces influence user engagement and the formation of purchase intentions. A hybrid SEM -AHP framework is employe d to analyze behavioral pathways shaped by algorithmic recommendations and adaptive interactions. The findings indicate that preference alignment, interface satisfaction, and behavioral consistency significantly affect decision confidence and purchasing te ndencies. The research emphasizes the strategic role of SI in enhancing consumer trust and minimizing uncertainty within omnichannel environments. These insights contribute to both theoretical understanding and practical implementation of SI -enhanced ret ail marketing strategies, especially in designing interfaces that align with dynamic consumer expectations.

Keywords

artificial intelligence, consumer engagement, personalization, SEM - AHP, purchase behavior, digital retail, interface design


References

  1. Noble, S. M., Rosenbaum, M. S., & Russell -Bennett, R. (2022). Exploring AI technology and consumer behavior in retail interactions. Journal of Retailing and Consumer Services, 60, 102 -115.
  2. Brüggemann, F., & Pauwels, K. (2024). Generative AI transforms customer interactions in retail: Enhancing engagement through customized communication. Journal of Marketing Technology, 38(1), 45 -61.
  3. Mogaji, E., & Jain, A. (2024). AI in retail: Enhancing customer experiences and loyalty through personalization. International Journal of Consumer Studies, 48(3), 350-367.
  4. Davenport, T. H., Grewal, D., & Bressgott, T. (2020). The role of machine learning in retail: Predictive models for personalized services. Retail Analytics Review, 15(2), 12 -29.
  5. (2025). Artificial intelligence in the retail sector: Personalization and sales growth. SocioHuman Journal, 9(2), 105 -117.
  6. (2025). Impact of artificial intelligence on consumer buying behavior and purchase patterns in online retail. International Journal of Advanced Research (IJAR), 13(4), 120 -137.
  7. (2025). Impact of artificial intelligence on retail marketing strategies: Personalized recommendations and chatbots. International Journal of Research and Public Relations, 6(6), 227 -235.
  8. Chen, L., & Kumar, S. (2025). AI -powered consumer engagement: Effects on purchase intention and behavior. Journal of Marketing Insights, 14(1), 88 -102.
  9. Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114 -123.
  10. Nguyen, T. H., & Simkin, L. (2023). The impact of AI -driven marketing on consumer decision making in retail. Journal of Interactive Marketing, 52, 1 -15.
  11. Li, X., & Fang, Y. (2024). AI -enabled smart retail: Consumer purchase behavior and engagement patterns. Journal of Retailing and Consumer Research, 42, 58-69.
  12. Kumar, V., & Rajan, B. (2023). AI and retail marketing strategy: Optimizing sales through predictive analytics. Journal of Business Research, 145, 413 -422.
  13. Srinivasan, R., & Moorman, C. (2024). How AI shapes retail customer experience: Evidence from marketing analytics. Marketing Science, 43(1), 25 -44.
  14. Zhang, Y., & Lu, R. (2023). Retail innovation through AI: Analyzing consumer responses and sales outcomes. Technological Forecasting and Social Change, 180, 121 -131.
  15. Park, C., & Lee, H. (2024). AI in omnichannel retail: Enhancing consumer engagement and loyalty. Journal of Retailing, 100(1), 50 -69.

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