Machine Learning Based Prediction of Consumer Intention to Buy E-Grocery in India


Authors : Ramanaji Boggarapu; Dr. Om Prakash Yadav

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/38gKSf3

DOI : https://doi.org/10.5281/zenodo.6542949

- E-Grocery market of India has been growing tremendously since last few years. The online buying pattern and social influence have been a great impact on spending nature. The consumer intention to buy any product varies considerably. Though FMCG e-Grocery seems to be new in the India, the specialist needed more attention and extensive studies about it. Hence, this paper is aiming to adopt computational technique of machine learning to understand and verify the factors that affect the shoppers’ intentions to buy grocery on-line in India. Both qualitative and quantitative results establish the importance of situational factors, such as having a baby or developing health problems, as triggers for starting to buy groceries online. Many shoppers are found to discontinue online grocery shopping once the initial trigger has disappeared or they have experienced a problem with the service.

Keywords : E-Grocery Website, Order Pickup, OnlineShopping.

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Paper Submission Last Date
30 - November - 2022

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In 1-2 Days

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