Role of AI Recommendation on Consumer Behavior

The rapid advancement of Artificial Intelligence (AI) has significantly transformed digital marketing practices, particularly through the use of AI-based recommendation systems. These systems analyze consumer data such as browsing behavior, purchase history, and preferences to deliver personalized product and service recommendations. The present study aims to examine the role of AI recommendation systems in influencing consumer behavior, with special emphasis on consumer decision-making, purchase intention, perceived usefulness, satisfaction, personalization, and trust in digital marketplaces. The study adopts a descriptive and analytical research design and is based on both primary and secondary data. Primary data were collected from consumers who frequently use digital platforms that employ AI-driven recommendation systems, such as e-commerce websites and online service applications. A structured questionnaire using a five-point Likert scale was employed to capture consumer perceptions related to AI recommendation accuracy, personalization, trust, purchase intention, and buying behavior. Secondary data were gathered from scholarly journals, books, and credible online sources to support the conceptual framework and literature review. The collected data were analyzed using statistical tools including descriptive statistics, correlation analysis, and multiple regression analysis. The findings of the study reveal that AI-based recommendation systems have a significant and positive impact on consumer decision-making behavior. Accurate and relevant AI recommendations enhance perceived usefulness and consumer satisfaction, leading to increased purchase intention. The study further identifies personalization as the most influential factor affecting consumer preferences and buying behavior, followed closely by trust in AI recommendations. Consumers are more inclined to rely on AI-generated suggestions when they perceive the system as reliable, transparent, and aligned with their individual needs. Additionally, AI recommendations were found to reduce information overload, improve decision efficiency, and encourage impulse buying behavior. However, the study also highlights emerging concerns related to data privacy and ethical use of consumer information, which may influence trust levels if not properly addressed. The study concludes that while AI-based recommendation systems serve as powerful tools for enhancing consumer experience and driving sales, organizations must ensure responsible and ethical deployment of AI technologies. The insights derived from this study are valuable for marketers, digital platform managers, and policymakers in designing consumer-centric and trustworthy AI recommendation systems that support sustainable business growth..