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International Journal of New Developments in Engineering and Society, 2023, 7(9); doi: 10.25236/IJNDES.2023.070909.

Study on Vegetable Pricing Based on Time Series and Exponential Smoothing Model


Yunhang Lv, Xiulan Han, Mengyu Xu, Yunxiang Tan

Corresponding Author:
Yunxiang Tan

School of Ecology and Environment, Hainan University, Hainan, Haikou, 507228, China


Vegetable products have the characteristics of short shelf life. If they can't be sold out in time, it will cause waste, which will lead to the loss of merchants. Therefore, it is of great significance to formulate reasonable purchase quantity and pricing strategy. In view of this, this paper studies the purchase quantity and pricing strategy of vegetable commodities by establishing multiple linear regression model, ARIMA time series model and exponential smoothing time model. The results show that: (1) the relationship between consumers' purchase of various vegetables can be understood through correlation analysis; (2) By establishing time series, exponential smoothing model and combining multiple linear regression, the daily sales volume and daily replenishment volume can be better predicted, thus guiding pricing decision. (3) In the process of vegetable pricing, combining the historical pricing method can make the pricing decision more reliable, and adopting different pricing strategies for different vegetables according to consumers' purchasing psychology is conducive to increasing vegetable sales.


Time series model, Multiple linear regression, Exponentially smoothed time series, ABC classification

Cite This Paper

Yunhang Lv, Xiulan Han, Mengyu Xu, Yunxiang Tan. Study on Vegetable Pricing Based on Time Series and Exponential Smoothing Model. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 9: 48-56. https://doi.org/10.25236/IJNDES.2023.070909.


[1] Lu Yajie. Study on dynamic pricing of high-quality fresh vegetables in supermarkets in China [D]. Beijing Jiaotong University, 2010.

[2] Zhao Yu. Research on Vegetable Income Insurance Pricing Based on Semi-parametric Copula Method [J]. Agricultural Modernization Research, 2019, 40(02): 308-315.

[3] Ning Liyuan. Green Vegetable Pricing Strategies and Skills [J]. Guangdong Sericulture, 2020, 54(07):111-112.

[4] Zhang Fan. Study on Agricultural Products Marketing Strategy Considering Variable Opacity [D]. Tianjin University, 2020.

[5] Minmin Zeng. Study on Dynamic Pricing Strategy of Fresh Community Supermarket Based on Time Situation A [D]. Southwestern University of Finance and Economics, 2021.

[6] Zhou Yilun. Study on the pricing strategy of fresh direct investment agricultural products of Company C based on customer perceived value [D]. Southwest University, 2021.

[7] Gu Sihong. Study on Dynamic Pricing of Fresh Products of H Retailers Considering the Change of Freshness [D]. Donghua University, 2023.

[8] Kuang H .Intelligent Optimization Algorithm for Employee Performance Appraisal of Internet Companies Based on Time Series Model[J].2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022:196-199.DOI:10.1109/ICICCS53718.2022.9788454.

[9] Xiang Siqi, Ye Chensang, Yang Jinjing, et al. Psychological effect mechanism and future research orientation of commodity mantissa pricing [J]. Ergonomics, 2023, 29(01):81-86.

[10] Kim J,Kim PB,Lee JS,Kim S,Hyde KF.The Influence of Decision Task on The Magnitude of Decoy and Compromise Effects in A Travel Decision[J].Journal of Travel Research,2019,58(7):1071-1087.

[11] Tripathi A,Pandey N.Are Nine-ending Prices Equally Influential in Eastern Culture for Pricing Green Products[J].Journal of International Consumer Marketing,2018,30(3):192-205.