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Consumer buying behaviour in the fast-moving consumer goods (FMCG) industry is changing according to Artificial Intelligence (AI) and customizing suggestions based on real-time data analysis. Those suggestions based on AI not just contribute to the usability of the user but also provide the impulse to buy by providing the user with the right and timely options. This paper examines the effects of the personalization, urgency signals, and the positioning of products on impulse buying in the Tier 1, Tier 2, and Tier 3 cities in India. It also examines moderators of emotions and behaviour such as trust and self-control that determine consumer response to AI recommendations. The results were analzed using regression and ANOVA, and it is possible to note that the influence of AI-driven systems on impulsive buying behaviour is significant, and the differences can be observed based on the level of the city. The findings provide suggestions to the marketers and the policy makers to incorporate effective and ethical AI practices to strike a balance between the business and the consumers interests.
Keywords:
The Impact of AI-Driven Product Recommendations on Impulse Buying Behavior in the FMCG Sector
Cite Article:
"The Impact of AI-Driven Product Recommendations on Impulse Buying Behavior in the FMCG Sector", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a179-a188, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601026.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator