山西省大同市客户售卖手机及周边产品销售数据
收藏浙江省数据知识产权登记平台2025-06-20 更新2025-06-21 收录
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资源简介:
通过收集和分析山西省大同地区客户通过博远销售软件,售卖手机及手机周边产品一些销售数据进分析,了解客户每个月销售数据情况,总销售额,及销售利润,各门店对基于大数据分析管理软件的了解客户购买力水平和消费偏好,从而制定进货计划,减小库存压力,减小资金积压。1.通过收集到山西省大同地区客户的基础数据,分析销售情况, 2.数据处理:销售额/销量=平均价,通过利润/销量=平均利润,利用单价大于1000元的销量/销量=单价大于1000元的销量占比,利用单价大于1000的销售额/销售额=单价大于1000元的销售额占比,如果单价大于1000元的销量占比超过60%,主营业务标记为手机,否则标记为手机周边产品。如果单价大于1000元的销售额占比超过90%销售额支撑标记为手机,否则标记为非手机。
This dataset is developed by collecting and analyzing sales data of mobile phones and their peripheral products sold by customers in Datong, Shanxi Province via the Boyuan Sales Software. The core objectives are to ascertain the monthly sales status, total sales revenue and sales profit of each customer, and enable each store to grasp customers' purchasing power and consumption preferences through big data-based management software, so as to formulate reasonable procurement plans, reduce inventory pressure and alleviate capital tied-up. 1. Conduct sales analysis based on the collected basic customer data from Datong, Shanxi Province. 2. Data processing steps: - Calculate average price = total sales revenue / sales volume; - Calculate average profit = total profit / sales volume; - Calculate the proportion of sales volume of products with unit price exceeding 1000 yuan: (sales volume of products with unit price > 1000 yuan) / total sales volume; - Calculate the proportion of sales revenue of products with unit price exceeding 1000 yuan: (sales revenue of products with unit price > 1000 yuan) / total sales revenue; - If the proportion of sales volume of products with unit price > 1000 yuan exceeds 60%, mark the main business as "mobile phones"; otherwise, mark it as "mobile phone peripheral products"; - If the proportion of sales revenue of products with unit price > 1000 yuan exceeds 90%, mark the sales revenue support as "mobile phones"; otherwise, mark it as "non-mobile phones".
提供机构:
杭州博亦远科技有限公司
创建时间:
2025-05-08
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集记录了山西省大同市客户通过销售软件售卖手机及周边产品的销售信息,包含客户代码、销量、销售额、利润等16个字段,数据规模为667条,每年更新一次。它旨在通过分析销售数据,帮助了解客户购买力水平和消费偏好,从而优化进货计划和库存管理,减少资金积压。数据集采用规则算法计算平均价、利润占比,并根据销量和销售额占比自动标记主营业务和销售额支撑。
以上内容由遇见数据集搜集并总结生成



