Consumer Purchased Behavior using Data Mining: A Case Study of Coffee Shop Service Business

Chantich Santasup, Kallayanee Tengpongsathon

2019

Abstract

Data mining is the process of discovering patterns in a large data set. It has many methods to find data. The association rule technique as one of the data mining techniques used to analyze a data set of consumers purchasing behaviours in a coffee shop located at Phra - Nakhon district Bangkok, Thailand. In this research, this consumer data was analyzed by using the RapidMiner Studio program. This research aimed to find out relationships of purchasing between beverage and bakery products and used them to create the promotion. The results showed the relationship among various product items available in this coffee shop was the most interesting because the association rule was 63.4 percentage of probability. It meant that if consumers purchased croissant products, then they would buy coffee beverages at the same time. When considered the results to create the promotion, we could get various types of product sets. Then, a business owner can use this information to make a profit and achieve his business target.

Paper Citation

in Harvard Style

Santasup C. and Tengpongsathon K. (2019). Consumer Purchased Behavior using Data Mining: A Case Study of Coffee Shop Service Business. In Proceedings of the 16th ASEAN Food Conference - Volume 1: 16th AFC, ISBN 978-989-758-467-1, pages 263-267. DOI: 10.5220/0009998200002964

in Bibtex Style

@conference{16th afc19,
author={Chantich Santasup and Kallayanee Tengpongsathon},
title={Consumer Purchased Behavior using Data Mining: A Case Study of Coffee Shop Service Business},
booktitle={Proceedings of the 16th ASEAN Food Conference - Volume 1: 16th AFC,},
year={2019},
pages={263-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009998200002964},
isbn={978-989-758-467-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th ASEAN Food Conference - Volume 1: 16th AFC,
TI - Consumer Purchased Behavior using Data Mining: A Case Study of Coffee Shop Service Business
SN - 978-989-758-467-1
AU - Santasup C.
AU - Tengpongsathon K.
PY - 2019
SP - 263
EP - 267
DO - 10.5220/0009998200002964