遇见数据集

上海地区客户对定制皮鞋需求数据

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浙江省数据知识产权登记平台2024-10-11 更新2024-10-12 收录
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通过收集和分析上海地区客户对定制皮鞋的需求量数据与消费相关数据,了解客户对定制皮鞋的需求量的购买力水平和消费偏好,从而了解该产品是否畅销,从而为本行业的所有企业制定生产策略,更好地为用户提供个性化的商品和服务。1.数据采集:采集平时上海地区客户对定制皮鞋的需求量的相关交易数据。2.数据处理:对采集到数据进行分类、合并、累加,便于分析使用。3.算法加工:将处理后的数据进行需求量分析:P={a1(单笔最少订单数量)/b1(单笔最少消费额度)+a2(单笔最高订单数量)/b2(单笔最高消费额度)+a3(平均订单数量)/b3(平均消费额度)}*k,k为消费系数,不同地区系数大小值不同,按经验取值上海地区k值为0.8。4、数据分类分级:根据计算出的需求量水平,将客户等级划分为“高、中、低”不同的类别和级别(90分以上标记为“高等级”,70-90分区间内标记为“中等级”,70分以下标记为“低等级”),帮助公司更好地理解客户,高等级企业可每月1至2次与企业沟通,中等级可每季度1至2次与企业沟通,低等级企业可每半年1至2次与企业沟通,从而制定更精准的生产营销策略。

This dataset is developed by collecting and analyzing demand and consumption-related data of customized leather shoes from customers in the Shanghai area, aiming to identify the purchasing power and consumption preferences of customers for customized leather shoes, assess the market popularity of this product, and provide guidance for all enterprises in the industry to formulate production strategies and deliver better personalized products and services to users. 1. Data Collection: Collect routine transaction data related to the demand volume of customized leather shoes from local customers in Shanghai. 2. Data Processing: Classify, merge and accumulate the collected data to facilitate subsequent analysis. 3. Algorithm-driven Analysis: Conduct demand analysis on the processed data using the following formula: P = {a1 (minimum single-order quantity)/b1 (minimum single-order consumption amount) + a2 (maximum single-order quantity)/b2 (maximum single-order consumption amount) + a3 (average order quantity)/b3 (average order consumption amount)} * k, where k is the consumption coefficient that differs across regions. Based on empirical values, the k value for the Shanghai area is set to 0.8. 4. Data Classification and Grading: Divide customers into three categories and levels (high, medium and low) based on the calculated demand level: customers with a score above 90 are marked as "high-level", those with a score in the range of 70 to 90 are marked as "medium-level", and those with a score below 70 are marked as "low-level". This enables enterprises to better understand their customers: communicate with high-level customers 1 to 2 times per month, communicate with medium-level customers 1 to 2 times per quarter, and communicate with low-level customers 1 to 2 times every six months, so as to formulate more precise production and marketing strategies.

创建时间:
2024-09-18
搜集汇总
数据集介绍
上海地区客户对定制皮鞋需求数据 数据集图片
特点
该数据集包含2117条上海地区客户对定制皮鞋的需求数据,涵盖客户名称、订单数量、消费额度等字段,每年更新一次。通过算法计算需求指数并划分客户等级,用于分析客户购买力和消费偏好,帮助企业制定生产营销策略。
以上内容由遇见数据集搜集并总结生成
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