上海地区箱包需求分析数据
收藏浙江省数据知识产权登记平台2024-09-18 更新2024-09-19 收录
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资源简介:
本数据对各类箱包的销售情况进行分析计算,可以预测当地对各类箱包的需求情况,帮助各从事箱包生产销售的企业合理安排生产计划,调整营销策略,对需求程度高的产品加大宣传力度,制定针对性的产品套餐,及优惠方式。1、数据统计:采集各类箱包在上海地区的销售情况,对采集到数据进行分类、合并、累加,便于分析;2、数据分析:通过SUMIFS函数对相同类型商品销售额求和得到同类商品销售总额;通过SUM函数将数据统计范围内销售额求和得到总销售额;3、同类商品销售总额占总销售额的占比=同类商品销售总额/总销售额*100%;4、占比排名按同类商品销售总额占总销售额的占比从大到小进行排名;5、根据占比排名,对各类商品进行需求程度“高、中、低”的评价,定义占比排名前15名的产品需求程度为“高”,第16-30名的产品需求程度为“中”,第31名及以后的产品需求程度为“低”。
This dataset conducts analysis and calculation on the sales status of various types of luggage and bags, which can predict the local demand for such products, and help enterprises engaged in luggage and bag production and sales to reasonably arrange production plans, adjust marketing strategies, increase promotion efforts for products with high demand, and formulate targeted product packages and preferential measures.
1. Data Statistics: Collect the sales data of various luggage and bags in the Shanghai area, then classify, merge and accumulate the collected data to facilitate subsequent analysis;
2. Data Analysis: Use the SUMIFS function to sum the sales amounts of products of the same type to obtain the total sales of the same category; use the SUM function to sum the sales amounts within the scope of data statistics to get the total overall sales;
3. Proportion of same-category total sales in total overall sales = (same-category total sales / total overall sales) * 100%;
4. Proportion ranking: Rank all products in descending order based on their proportion of same-category total sales in total overall sales;
5. Demand level evaluation: Classify all products into three demand levels of "High", "Medium" and "Low" according to their ranking. Specifically, products ranked within the top 15 are rated as "High" demand, those ranked 16th to 30th are rated as "Medium" demand, and those ranked 31st and below are rated as "Low" demand.
提供机构:
浙江银座箱包有限公司
创建时间:
2024-08-20
搜集汇总
数据集介绍

特点
该数据集为上海地区箱包需求分析数据,包含3386条记录,每月更新。数据涵盖订单、销售、商品规格等信息,通过统计分析评估各类箱包的需求程度,适用于箱包生产和销售企业的需求预测和策略调整。
以上内容由遇见数据集搜集并总结生成



