优化生鲜超市产品的销售规律和补货决策分析

Xinchong Wang, Xinxiang Wang
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引用次数: 0

摘要

在生鲜食品超市领域,由于蔬菜产品的保质期相对有限,其质量会随着销售时间的推移而逐渐变差。因此,超市需要根据产品的历史销售数据和需求进行日常定量补货操作。本文基于收集到的蔬菜品类产品信息、详细的蔬菜销售流量数据、蔬菜产品批发价格以及近期蔬菜产品损耗率。通过数据分析和可视化技术,分析了蔬菜销售在各品类和单一产品中的分布模式。接着,构建了蔬菜类别总销售量与成本加成定价之间的函数关系。回归预测用于模拟蔬菜类别的未来批发价格。
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Optimizing the Sales Law and Replenishment Decision Analysis of Fresh Supermarket Products
In the field of fresh food supermarkets, due to the relatively limited shelf-life of vegetable products, their quality will gradually deteriorate with the sales time. Therefore, supermarkets need to perform daily rationing replenishment operations based on the historical sales data and demand of the products. This paper is based on the collected product information of vegetable categories, detailed vegetable sales flow data, wholesale prices of vegetable products, and recent vegetable product wastage rates. Data analysis and visualization techniques are used to analyze the distribution pattern of vegetable sales in each category and single product. Next, a functional relationship between total sales volume and cost-plus pricing of vegetable categories was constructed. Regression forecasts were used to simulate the future wholesale prices of vegetable categories.
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