Research On Time Series Forecasting-Based Pricing Strategy for Supermarket
DOI:
https://doi.org/10.54097/5qs12j74Keywords:
Linear Regression, Time Series, Pricing Decision, Supermarkets.Abstract
In fresh food supermarkets, vegetables have a short shelf life. It is of great practical significance to price different products based on market research in order to maximize the benefits of supermarkets. The aim of this paper is to investigate and address the pricing decision question of vegetable products in fresh food supermarkets. This article investigates the correlation between cost-based pricing and sales revenue by establishing linear regression models and time series models.In addition, we have also made price predictions for various categories of products in the supermarket. Finally, this article provides pricing decisions for various categories in the first week of July 2023 for the supermarket.
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References
Peng J. Latest Advances in Preservation Technology for Fresh Fruit and Vegetables [J]. Foods,2022,11(20).
Suci M,Noor V H. Quantitative analysis on the fluctuation of vegetable price in supermarket [J]. MATEC Web of Conferences,2018,154.
A Qi. Research on Pricing of Science and Technology Information Service Based on Cost-Plus Pricing Method [J]. Library Research and Work, 2021(10): 25-31+24.
Shen, G., Wang, L., & Jiang, Y. (2022). Application of Multivariate Statistical Analysis Model in Product Market Demand Analysis: A Case Study of Demand Analysis for Hand Cleaning Products of Residents under the COVID-19 Pandemic. Commercial Exhibition Economy, 20, 79-81.
Ya-Fang S,Yue-Jun Z,Bin S.How does global transport sector improves the missions reduction performance? A demand-side analysis [J]. Applied Energy2022,311.
Oke MD,Lawanson IO,Muhammed AI.SUPPLY-SIDE ANALYSIS OF THE MARKET FOR TOMATO IN BAUCHI STATE,NIGERIA [J].The Journal of Developing Areas,2020,54(3).
Walter D,Irene M,Averil G, et al. Linear regression equations to predict β-lactam, macrolide, lincosamide and fluoroquinolone minimum inhibitory concentrations from molecular antimicrobial resistance determinants in Streptococcus pneumoniae.[J]. Antimicrobial agents and chemotherapy,2021.
Haokun W,Delin H,Maomao Z, et al. Multiphase flowrate measurement with time series sensing data and sequential model [J]. International Journal of Multiphase Flow,2022,146.
Dong, Y. (2022). Construction and Research of ARIMA-BiLSTM Model in Vegetable Price Forecasting under Different Combination Methods (Doctoral dissertation, Dongbei University of Finance and Economics).
Tian, X. (2023). Design of Carbon Futures Products Based on ARIMA Model (master’s thesis, Anhui University of Finance and Economics).
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