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贵州省贵阳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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通过收集和分析贵州省贵阳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.通过收集到贵州省贵阳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 Guiyang, Guizhou Province through the Boyuan sales software. The goal is to investigate the monthly sales status, total sales revenue and sales profit of each customer, and help each store understand customers' purchasing power and consumption preferences via big data analysis and management software, so as to formulate procurement plans, reduce inventory pressure and alleviate capital overstock. 1. Collect basic customer data in Guiyang, Guizhou Province to analyze the sales situation; 2. Data processing procedures: - Calculate average price = total sales revenue / sales volume; - Calculate average profit = total profit / sales volume; - Calculate the sales volume proportion of products with unit price greater than 1000 yuan: (sales volume of products with unit price > 1000 yuan) / total sales volume; - Calculate the sales revenue proportion of products with unit price greater than 1000 yuan: (sales revenue of products with unit price > 1000 yuan) / total sales revenue; - If the sales volume proportion of products with unit price greater than 1000 yuan exceeds 60%, mark the main business as "mobile phones"; otherwise, mark it as "mobile phone peripheral products"; - If the sales revenue proportion of products with unit price greater than 1000 yuan exceeds 90%, mark the sales 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:
2025-04-22
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集记录了贵州省贵阳市客户在2023年至2024年6月期间售卖手机及周边产品的销售数据,包含客户代码、销量、销售额、利润等16个关键字段,以Excel格式存储,每年更新一次。它通过分析销售趋势和客户行为,帮助用户了解购买力水平和消费偏好,从而优化进货计划和减少库存压力,特别适用于批发和零售业的商业决策支持。
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