With the increasing consumer demand in society, the variety of vegetables in fresh supermarkets has grown, leading to more complex vegetable pricing and replenishment strategies. To address these issues, this paper first employs the Pearson correlation coefficient to analyze the correlation between the sales volumes of different vegetable categories and individual items in the fresh supermarket. It also explores the temporal distribution patterns of vegetable sales volumes. Furthermore, the paper investigates the relationship between total sales volume and cost-based pricing. Based on this, using daily replenishment total quantity as the decision variable and the relationship between total sales volume and cost-based pricing as constraint conditions, and aiming to maximize supermarket revenue, it constructs a BiLSTM model based on the White Shark Optimization Algorithm. This model is used to formulate daily replenishment total quantities and pricing strategies for various categories in the coming week to maximize supermarket revenue.

Weiming Li, Haobin Wu, Tao Kang, Kaican Huang, Huimin Ke, Bin Feng. Vegetable Replenishment and Pricing Strategy Based on the White Shark Optimization Algorithm. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 9: 57-64. https://doi.org/10.25236/IJNDES.2023.070910.

[1] Zhu K , Wang H , Kong Y ,et al. Optimization of the Replenishment Strategy for the Supplier Based on Genetic Algorithm[J].International Journal of Business & Management, 2011, 6(1):218-222. DOI:10.5539/ijbm.v6n1p218.

[2] Shi M , Liao X , Yang H ,et al. Research on Vegetable Greenhouse Strategy Based on Multi-objective Distributed Constraint Optimization[C]//IEEE International Conference on Artificial Intelligence and Computer Applications. IEEE, 2021.DOI:10.1109/ICAICA52286.2021.9498123.

[3] Xinbo Huang, Weitao Jiang,Yongcan Zhu,Yi Tian. Transformer fault prediction based on time series and support vector machine[J]. High Voltage Technology, 2020, 46(07):2530-2538.

[4] Yanyan Dong. Research on the construction of ARIMA-BiLSTM model in vegetable price prediction under different combination methods Hong Qihan. [D]. Northeast University of Finance and Economics, 2022.

[5] Yan-Qiu L , Ge C , Ying Z ,et al.Optimization model for replenishment and distribution problems based on grouping strategy[J].Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology, 2017, 39(2):165-169.DOI:10.7688/j.issn.1000-1646.2017.02.09.

[6] Gu Sihong. A study on dynamic pricing of fresh products in H-retailers considering freshness variation [D]. Donghua University, 2023.