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浙江省台州市客户售卖手机及周边产品销售数据

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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:
通过收集和分析浙江省台州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.通过收集到浙江省台州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 constructed by collecting and analyzing sales data of mobile phones and their peripheral products from customers in Taizhou, Zhejiang Province via the Boyuan Sales Software. The analysis aims to figure out the monthly sales performance, total sales revenue and sales profit of each store, and help each store understand customers' purchasing power and consumption preferences through big data analytics-based management software, so as to formulate procurement plans, reduce inventory pressure and alleviate capital overstock. 1. Collect basic customer data in Taizhou, Zhejiang Province, and analyze the sales situation. 2. Data processing procedures: - Average selling price = total sales revenue / total sales volume - Average profit = total profit / total sales volume - Proportion of sales volume with unit price over 1000 yuan = (sales volume of products with unit price > 1000 yuan) / total sales volume - Proportion of sales revenue with unit price over 1000 yuan = (sales revenue of products with unit price > 1000 yuan) / total sales revenue - Main business marking: If the proportion of sales volume with unit price > 1000 yuan exceeds 60%, the main business is marked as "mobile phones"; otherwise, it is marked as "mobile phone peripheral products". - Sales revenue support marking: If the proportion of sales revenue with unit price > 1000 yuan exceeds 90%, the sales revenue support is marked as "mobile phones"; otherwise, it is marked as "non-mobile phones".
提供机构:
杭州博亦远科技有限公司
创建时间:
2025-05-21
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集记录了浙江省台州地区客户在2023年至2024年6月期间,通过销售软件售卖手机及周边产品的销售情况,包含客户代码、销量、销售额、利润等16个关键字段,数据规模为670条,每年更新一次。它主要用于分析销售趋势、客户购买力及消费偏好,帮助制定进货计划和优化库存管理,通过算法规则自动计算平均价、利润占比并标记主营业务类型。
以上内容由遇见数据集搜集并总结生成
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