上海地区客户对护肤套装需求量分析数据

通过收集和分析上海客户关于护肤套装的消费相关数据,了解客户对控温被的购买力水平和消费偏好，从而了解该产品在该区域是否畅销，了解区域内关于产品的消费需求状况，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。护肤套装整体销售受地域气温影响，所以数据应用场景及算法进行分区域研究。1.数据采集：采集客户关于控温被的相关交易数据。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，不同省份系数大小值不同，按经验取值k值为100。4、数据分类分级：根据计算出的需求量水平，将客户需求等级划分为“高、中、低”不同的类别和级别（10分以上标记为“高需求等级”，5-10分区间内标记为“中需求等级”，5分以下标记为“低需求等级”），计算高需求等级客户数量占比＝（高需求等级客户数量/客户总数）x100%，当占比≥50%时，城市消费评价记为“优异”，占比＜50%则城市消费评价记为“一般”，加大对于“优异”消费城市的供货数量及相关销售政策，保持“一般”销售城市的铺货情况，持续观察该区域的销售情况。

This dataset is developed by collecting and analyzing consumption-related data of skincare kits from Shanghai customers, aiming to understand customers' purchasing power and consumption preferences for temperature-regulating comforters, thereby assessing the market popularity of this product in the region and the local consumer demand for the product, so as to support all enterprises in the industry in formulating production strategies and better provide users with personalized products and services. Since the overall sales of skincare kits are affected by regional temperatures, regional-based research will be conducted for both data application scenarios and the corresponding algorithms.
1. Data Collection: Collect relevant transaction data of customers regarding temperature-regulating comforters.
2. Data Processing: Classify, merge and accumulate the collected data to facilitate subsequent analytical operations.
3. Algorithm Processing: Conduct demand analysis on the processed data using the 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 consumption amount)} * k, where k is the consumption coefficient that varies across different provinces, with an empirical value of 100.
4. Data Classification and Grading: Divide customer demand levels into three categories: "high", "medium" and "low" based on the calculated demand score. Specifically, customers with a score above 10 are marked as "high demand level", those with a score ranging from 5 to 10 as "medium demand level", and those with a score below 5 as "low demand level". Calculate the proportion of high-demand-level customers as (number of high-demand-level customers / total number of customers) × 100%. When the proportion is ≥50%, the city's consumption evaluation is rated as "excellent"; when the proportion is <50%, it is rated as "average". Enterprises should increase supply quantity and relevant sales policies for cities rated "excellent", maintain the product distribution status for "average" sales cities, and continuously monitor the sales performance in these regions.

搜集汇总

数据集介绍

特点

该数据集包含上海地区客户对护肤套装的消费数据，通过需求指数和等级分析客户购买力和偏好，助力企业制定生产策略。