Research on Supermarket Replenishment Pricing Decision Making Based on BP Neural Network and Greedy Algorithm

Wenjian Xiao; Yuanning Gu

doi:10.54097/c4kxoe8z

Authors

Wenjian Xiao
Yuanning Gu

DOI:

https://doi.org/10.54097/c4kxoe8z

Keywords:

Spearman model, Nonlinear regression model, Fitting algorithm, Neural network model, Greedy algorithm

Abstract

The aim of this paper is to provide strong support for superstores through a data-driven approach. By analyzing and fitting the sales history data of each category and individual product, this paper uses BP-neural network model to predict the sales volume and transforms the replenishment problem into a knapsack problem, so as to plan the future pricing strategy and replenishment volume of the superstore. This helps to optimize the category structure of the superstore, increase the profit margin, reduce the wastage rate, and improve the service quality.

References

Zhan Mengting. Research on strategic cost management of Yonghui Supermarket under new retail mode [D]. Jiangxi University of Finance and Economics, 2023.

DOI: 10. 27175/ d. cnki. gjxcu. 2023. 001487.

Yu Qun,Huo Xiaodong,He Jian et al. Trend prediction of power outages in China based on Spearman correlation coefficient and system inertia[J]. Chinese Journal of Electrical Engineering, 2023,43(14):5372-5381.

DOI:10.13334/j.0258-8013.pcsee.220035.

Yang XL,Wang MX,Li XJ et al. Machine learning-multiple linear regression technique to predict water ecological benchmarks for copper[J/OL]. China Environmental Science, 1-11[2024-03-14].

https://doi.org/10.19674/j.cnki.issn1000-6923.20240312.002.

LIU Junli,ZHANG Xu,LI Quanyang et al. Selection of CMM fitting algorithm in engineering measurement[J]. Micromotors, 2023, 56(12):60-62+ 66.

DOI: 10. 15934/ j. cnki. micromotors. 2023. 12.011.

A.D. Zhong,Z.Y. Wu,Z.X. Xie et al. Research on photovoltaic power prediction based on hybrid algorithm improved BP neural network[J/OL]. Journal of Yunnan University for Nationalities(Natural Science Edition), 1-7[2024-03-14].

http: // kns. cnki. net/ kcms/ detail/ 53. 1192. n. 20240308. 1602. 002.html.

S. F. Zhuang,Y. Ching Wang,J. Luo et al. An optimised simulated annealing algorithm for solving the knapsack problem[J]. Computer Programming Skills and Maintenance, 2023,(11):53-56.

DOI: 10. 16184/j.cnki.comprg.2023.11.023.

Xiao Jian,He Zhicheng,Hu Xin et al. Tree WSN low-power routing algorithm based on greedy algorithm[J]. Internet of Things Technology,2024,14(01):48-51+54.

DOI:10.16667/j.issn.2095-1302.2024.01.013.