The Impact of AI-Powered Recommendation Systems on Customer Purchase Behavior and Brand Loyalty
This study investigates how AI-powered recommendation systems (ARS) in mobile apps of international food brands like KFC and Domino's affect customer behavior, satisfaction, and loyalty. ARS uses advanced machine learning to provide personalized, accurate, and timely recommendations, enhancing customer experiences and engagement. The research reveals that ARS significantly influences purchasing patterns, leading to more frequent and larger orders. It also contributes to higher customer satisfaction and trust. By offering tailored suggestions, ARS acts as a bridge between customer engagement and brand loyalty, improving decision-making and creating value for businesses. However, the study emphasizes the importance of addressing ethical concerns, particularly data privacy and transparency, to maintain consumer trust. Overall, this research provides valuable insights into how AI can be strategically used to advance digital retail practices.
Authors
- J. Dharmaraj
- S. Rahini
Institutions
- SASTRA University (IN)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.34293/icaicm-25.ch009
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00