Author(s)

Wenbo Ye ¹, Shibo Zhu ¹, Boyuan Zheng ¹

Affiliation(s)

¹ Chang'an Dublin International College of Transportation at Chang'an University, Chang'an University, Xi'an, 710064, China

Corresponding Author

Wenbo Ye

ABSTRACT

Vegetables as an important part of the daily diet of residents in the fresh food superstore occupies an important position, its short shelf life and the importance of the appearance and other characteristics of the vegetable superstore need to first solve the daily vegetable replenishment and pricing problems. Based on the historical sales data of a superstore, this paper analyzes the distribution pattern model and correlation of the sales volume of vegetable categories at different times, and finds that the average monthly sales volume of each category is, in descending order, as follows: anthophyllum, capsicum, edible mushrooms, cauliflower, aquatic rhizomes, solanacea, and the sales volume of each category of vegetables has a cyclical and seasonal distribution pattern; the distribution pattern of individual items is affected by the seasonal changes. The XGBoost algorithm is used to establish a model with the maximum revenue of the supermarket in the coming week as the objective function, and the pricing strategy of different categories in each day as the decision variable to establish a planning model, and the replenishment quantity and pricing strategy of six categories are obtained by genetic algorithm.

KEYWORDS

Vegetable Pricing and Replenishment Decisions, XGBoost Algorithm, Genetic Algorithm, Goal Programming

CITE THIS PAPER

Wenbo Ye, Shibo Zhu, Boyuan Zheng, Optimization Strategy for Vegetable Replenishment and Pricing in Supermarkets Based on XGBoost Algorithm and GA. Information Systems and Economics (2024) Vol. 5: 1-8. DOI: http://dx.doi.org/10.23977/infse.2024.050301.

REFERENCES

[1] Gu Sihong. Study on dynamic pricing of fresh products in H retailers considering freshness changes [D]. And Donghua University, 2023.
[2] Chen Jun, Kangsha. Joint decision on pricing and inventory replenishment of agricultural products for dual-channel sales [J]. Industrial Engineering, 2023, 26 (03): 39-46.
[3] Zhao Ling, Liu Zhixue. Joint replenishment and pricing strategy considering customer returns and fixed costs [J]. Operations Research and Management, 2022, 31 (06): 105-110 + 124.
[4] Zhang Jinlong, Wu Xiang, Xu Haoxuan. Joint decision model of perishable new product pricing and replenishment [J]. Journal of Systems Engineering, 2018, 33(01).
[5] Wang Shijie, Wang Xingfen, Yue Ting. Multiple influencing factors selection and prediction of cotton prices based on XGBoost and TCN Attention [J/OL]. Computer System Application: 1-12 [2023-09-10].

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