Journal of Applied Mathematics and Computation

ISSN Print: 2576-0645 Downloads: 89484 Total View: 1384420
Frequency: quarterly ISSN Online: 2576-0653 CODEN: JAMCEZ
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Article http://dx.doi.org/10.26855/jamc.2023.12.013

Application of Association Rule Mining in Supermarket Sales Strategies

Hanyu Wu1, Xianglong Zeng2, Jian Wang2, Zixuan Wang2, Yongzhi Zhang2, Yunkai He2,*, Lele Tao1, Xiaowei Xu2, Shuo Huang3

1Anhui Science and Technology University, Bengbu, Anhui, China.

2Nanchang Hangkong University, Nanchang, Jiangxi, China.

3Shandong Rose Engineering Decoration Co., Ltd. Hefei Branch, Hefei, Anhui, China.

*Corresponding author:Yunkai He

Published: January 24,2024

Abstract

The study used the association rule mining method to conduct data analysis on the purchase records of 999 products from 4624 customers of a large Taobao online store, in order to quantitatively describe the association relationship between products. By using support and confidence indicators, businesses can calculate the ratio of the number of customers who purchase two products at the same time to the total number of customers to obtain the correlation probability. This model can help businesses develop more targeted promotional strategies, improve sales efficiency, and increase customer satisfaction and loyalty. In order to verify the feasibility and effectiveness of the model, data simulation experiments were conducted and the theoretical results of the model were compared with actual data. The experimental results indicate that the theoretical results of the model are consistent with actual data, further verifying its feasibility. In addition, actual promotional strategies were adjusted for some products, and changes in sales data were observed. The results indicate that the promotion strategy developed using this model can effectively improve sales efficiency, and increase customer satisfaction and loyalty.

References

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How to cite this paper

Application of Association Rule Mining in Supermarket Sales Strategies

How to cite this paper: Hanyu Wu, Xianglong Zeng, Jian Wang, Zixuan Wang, Yongzhi Zhang, Yunkai He, Lele Tao, Xiaowei Xu, Shuo Huang. (2023) Application of Association Rule Mining in Supermarket Sales StrategiesJournal of Applied Mathematics and Computation7(4), 519-522.

DOI: http://dx.doi.org/10.26855/jamc.2023.12.013