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某大型综合超市薄利多销模型——2019年全国大学生数学建模竞赛E题分析

The Model of Small Profits by Quick Turnover Based on the Data of a Large Comprehensive Supermarket
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摘要 2019年全国大学生数学建模竞赛E题要求根据附件当中的销售数据对大型综合超市的销售行为进行分析。根据2016年11月30日至2019年1月2日的销售流水记录、折扣信息表、商品信息表给出的数据,应用大数据分析处理技术计算该商场每天的营业额和利润率,并从三个角度建立指标衡量该商场每天的打折力度,可以构建打折力度与商品销售额及利润率的一元回归模型。在按照一级类目划分产品类型后,该模型可以被用来对每天的各类商品打折力度与销售总额进行双变量相关分析。 Question E of 2019 National Mathematical Modeling Competition for undergraduates requires participants to analyze the marketing of a large comprehensive supermarket according to the sales data in the attachment.A unitary regression model between the discount scale,commodity sales and profit margin can be constructed by calculating the daily turnover and profit margin according to the data given in the sales flow records,discount information tables and commodity information tables of a large shopping mall from November 30,2016 to January 2,2019,as well as establishing the indicators to measure the daily discount of the mall from three perspectives.After further classification of product types according to the first-level category,the model can be used to make the bivariate correlation analysis on the discount scale of various commodities and the total sales every day.
作者 施吕蓉 SHI Lv-rong
出处 《芜湖职业技术学院学报》 2019年第4期64-68,共5页 Journal of Wuhu Institute of Technology
基金 安徽省2013年教育科研规划课题(BCB13004) 2016年安徽省高校自然科学研究重点项目(KJ2016A760)
关键词 PYTHON 一元回归 双变量相关分析 SPSS Python unitary regression bivariate correlation analysis SPSS
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