Paper Details

Name: Shilpi Shrivastava, Pratik Jain & Nidhi Dubey
Country: India

Year: 2025
Volume: Volume No: 12, Issue No: 2, Year: 2025, (Specials issue-1)
Page Number: 180-188
DOI: https://doi.org/10.5281/zenodo.17920162

ABSTRACT:
This research paper aims to explore the impact of Artificial Intelligence (AI) on women’s
buying behaviour towards grocery shopping, with a focus on survey-based data collection.
As AI technologies continue to evolve and integrate into retail platforms, they are
significantly influencing consumer decision-making. Women, traditionally the primary
grocery shoppers in many households, are increasingly interacting with AI tools such as
recommendation systems, smart shopping apps, and automated delivery platforms.
The objective of this study is to analyze how these AI-driven features affect women's
preferences, purchasing frequency, brand loyalty, and overall shopping experience. The
research will utilize structured surveys to gather data from women across different age
groups, occupations, and socio-economic backgrounds. Key variables to be examined include
convenience, trust in AI systems, digital awareness, and the influence of personalized
product suggestions.
This survey-based approach will enable a quantitative understanding of behavioural patterns
and consumer attitudes towards AI in the grocery shopping context. The study will also
assess the extent to which AI impacts impulse buying, product discovery, and satisfaction
levels among female consumers.
Findings from this research will contribute valuable insights to the fields of consumer
behaviour and retail technology. It will also offer practical recommendations for retailers and
AI developers seeking to design more effective, inclusive, and user-friendly grocery
shopping solutions that align with the evolving expectations of women consumers. By
understanding these dynamics, businesses can better tailor their strategies to enhance
customer engagement and loyalty in the AI-driven retail environment.
Key words: Artificial Intelligence (AI), Women’s Buying Behavior, Grocery Shopping,
Personalization.