A STUDY ON THE USE OF AI-ENHANCED Q-COMMERCE APPLICATIONS IN EVERYDAY LIFE

The rapid expansion of quick-commerce (Q-Commerce) applications has transformed everyday purchasing by offering ultra-fast delivery supported by artificial intelligence. These applications increasingly use AI to streamline shopping decisions, enhance efficiency, and influence consumer behaviour. This study examines the use of AI-enhanced quick-commerce applications in everyday life, with a specific focus on their influence on efficiency in meeting daily needs and the role of trust in shaping consumers’ intention to continue using such applications. Using a survey-based quantitative approach, primary data were collected from 50 users of quick-commerce platforms and analysed using descriptive statistics, correlation, and regression analysis in Microsoft Excel. The results reveal a strong positive correlation between the use of AI-enhanced applications and efficiency in meeting daily needs, which is further supported by regression analysis indicating high explanatory power. Trust in AI-enhanced applications also shows a significant positive relationship with consumers’ intention to continue use, though with comparatively moderate explanatory strength. Overall, the findings confirm that AI-enhanced quick-commerce applications significantly simplify daily purchases, save time, and enhance consumer convenience, while trust emerges as a critical factor influencing continued usage. The study contributes to the growing literature on AI-driven consumer behaviour and highlights important societal implications of technology-enabled consumption in everyday life.