Impact of Artificial Intelligence on Consumer Shopping Behaviour in Q-Commerce

Abstract

Q-commerce is new and expending form of online shopping where products are delivered within a very short time usually 10-30 minutes. Q-commerce not only change how consumer shop but also re-shape supply chain models by combining artificial intelligence. As a result it bridges gap between traditional stores and online commerce creating hybrid model that offers both digital experience and physical speed. Introduction of Artificial intelligence in commerce Q-commerce (Q-commerce) has changed consumer expectations by making fast delivery.  There are very little data on how AL -driven features like AI- enabled delivery tracking, personalized product recommendations, and convenience supporting tools effects consumer behaviour. A structure questionnaire with 5point Likert scale was used to gather primary data with a cronbach's Alpha score of 0.929, the is instrument shown excellent reliability.  Multiple regression analysis was used to test main hypothesis related AI influence behaviour. Where one way ANOVA was used to examine whether age difference affect consumer response to AI.

The finding shows that AI plays important role in shopping consumer behaviour in Q-commerce. The various AI future studied, personalised the recommendation emerged as the strongest predictor of consumer satisfaction followed by the chart board services delivery tracking and overall convenience. The ANOVA rebuild there is no significant difference among age groups, suggesting the influence of AI consistent across demographics.

Key words: AI (Artificial intelligence), Q-commerce, Customer Behaviour, AI-driven Recommendations, chatbots, Customer satisfaction, Customer trust, Digital Convenience, Instant delivery services.