The perishable nature of vegetable commodities requires fresh supermarkets to make scientific sourcing and pricing decisions, which is vital for promoting the welfare of residents and balancing the interests of parties related to the industry. Based on historical sales data, this paper studies the distribution patterns and interrelationships of sales volumes of different vegetable categories, as well as the relationship between sales volumes and cost-plus pricing mainly by establishing Spearman model and conducting regression analysis in which MATLAB fitting toolbox is used to derive the functional relationship. The result reveals that a significant positive correlation exists between the foliage and cauliflower category, aquatic rhizomes and edible fungi category. The sales volume of flowering and leafy vegetables is the highest, while that of the nightshade family is the lowest. Subsequently, with sales volume as the decision variable and supermarket profits as the objective function, an optimization model is constructed and solved, taking into account the predictions of ARIMA and its seasonal improvement model to ensure that a relatively reasonable and optimal daily replenishment and pricing strategy that maximize the profits is ultimately obtained.

Wanru Bai, Yijing Qiao, Zixi He. Research on Pricing and Replenishment of Vegetable Products Based on Optimization Models. Academic Journal of Business & Management (2024) Vol. 6, Issue 4: 269-275. https://doi.org/10.25236/AJBM.2024.060439.

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