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A Study on the Supermarket Replenishment and Pricing Strategies Based on SARIMA Model

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DOI: 10.23977/ferm.2023.061128 | Downloads: 5 | Views: 256


Qifan Wang 1


1 College of Science, China University of Petroleum (East China), Qingdao, Shandong, 266580, China

Corresponding Author

Qifan Wang


In the realm of fresh produce supermarkets, the expedited turnover of vegetable products necessitates routine replenishment and pricing adjustments by supermarkets. Nonetheless, formulating effective strategies for these aspects presents a substantial challenge to merchants. To address this issue, this study employs the SARIMA prediction model to anticipate future replenishment volumes and pricing for vegetable products in supermarkets. The cost-plus pricing method serves as the foundation for pricing in this predictive analysis. The predictive findings highlight a high accuracy in foreseeing both the upcoming month's replenishment volume and pricing. These forecasts reveal a fluctuating trend, displaying consistent periodicity akin to previous years, indicative of a robust predictive capacity. Consequently, this study culminates in devising a supermarket replenishment and pricing strategy grounded in the SARIMA model. This strategy aims to facilitate improved planning of future restocking and pricing by merchants, thereby fostering enhanced sales of vegetable products within supermarkets.


Vegetable Products, Merchandise Replenishment, Merchandise Pricing, SARIMA Forecasting, Cost Plus Pricing Method


Qifan Wang, A Study on the Supermarket Replenishment and Pricing Strategies Based on SARIMA Model. Financial Engineering and Risk Management (2023) Vol. 6: 193-200. DOI:


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