Retail Marketing Data - North-East India
Published: 3 October 2025| Version 2 | DOI: 10.17632/5vr9vcwvrr.2
Contributors:
Abhay Nath, Description
The dataset used in this study was created based on reports of shopping patterns in Indian retail stores. It included records of items frequently purchased together, such as 'Bread', 'Honey', 'Bacon', 'Toothpaste', 'Banana', 'Apple', 'Hazelnut', 'Cheese', 'Meat', 'Carrot', 'Cucumber', 'Onion', 'Milk', 'Butter', 'Shaving foam', 'Salt', 'Flour', 'Heavy cream', 'Egg', 'Olive', 'Shampoo', and 'Sugar'. The dataset highlighted purchase patterns, such as a tendency for customers purchasing salt and onions to also purchase eggs, based on historical trends. Must Cite the Paper: https://doi.org/10.1007/978-3-031-97713-8_10
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Institutions
Charotar University of Science and Technology
Categories
Artificial Intelligence, Machine Learning, Marketing Models in Food Marketing, e-Commerce Retail