Artificial Intelligence (AI) is playing an increasingly pivotal role in transforming consumer behaviour within the retail industry. This research paper examines the influence of AI on consumer behaviour in Maharashtra, with a particular emphasis on the contrasts between urban and rural retail markets. By analysing AI applications such as recommendation systems, personalized marketing, chatbots, and demand forecasting tools, the study investigates how these technologies are reshaping shopping patterns, preferences, and engagement levels across diverse consumer segments.
Through a mixed-methods approach combining surveys of urban and rural consumers, in-depth interviews with retailers, and analysis of retail data, the research reveals that urban consumers are more responsive to AI-driven personalization, digital loyalty programs, and seamless omni-channel experiences. In contrast, rural consumers exhibit cautious engagement, influenced by digital literacy, infrastructural limitations, and a preference for human interaction. However, even in rural areas, exposure to AI particularly through mobile-based platforms and regional language interfaces is gradually altering shopping behaviour, especially among younger demographics.
The paper highlights key challenges such as data privacy concerns, digital inclusion, and trust in AI systems, while offering actionable insights for retailers aiming to adapt their AI strategies to distinct market segments. It concludes with policy and business recommendations to bridge the urban-rural digital divide and build a more inclusive AI-driven retail ecosystem in Maharashtra.