江苏地区客户对控温被需求量分析数据

通过收集和分析江苏客户关于控温被的消费相关数据,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。控温被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33。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 customers in Jiangsu Province regarding temperature-control quilts, aiming to understand customers' purchasing power and consumption preferences for temperature-control quilts, evaluate the market popularity of this product in the region, and clarify the local consumer demand status of the product. The findings will help all enterprises in the industry formulate production strategies and provide users with better personalized products and services. Since the overall sales of temperature-control quilts are affected by regional temperatures, the data application scenarios and corresponding algorithms are studied on a regional basis.

1. Data Collection: Collect relevant transaction data of customers related to temperature-control quilts.
2. Data Processing: Classify, merge and accumulate the collected data to facilitate subsequent analysis.
3. Algorithm-based Processing: Conduct demand analysis on the processed data using the following formula:
P = { (a₁ / b₁) + (a₂ / b₂) + (a₃ / b₃) } × k
Where: a₁ represents the minimum single-order quantity, b₁ represents the minimum single-order consumption amount; a₂ represents the maximum single-order quantity, b₂ represents the maximum single-order consumption amount; a₃ represents the average order quantity, b₃ represents the average consumption amount. k is the consumption coefficient, which varies across different provinces. Based on empirical values, k is set to 33.
4. Data Classification and Grading: Divide customer demand levels into three categories: "High", "Medium" and "Low" based on the calculated demand score. Specifically, scores above 10 are marked as "High Demand Level", scores within the range of 5 to 10 are marked as "Medium Demand Level", and scores below 5 are marked as "Low Demand Level". Calculate the proportion of high-demand-level customers as: (Number of high-demand-level customers / Total number of customers) × 100%. If the proportion is ≥ 50%, the urban consumption evaluation is recorded as "Excellent"; if the proportion is < 50%, the urban consumption evaluation is recorded as "General". It is required to increase the supply quantity and relevant sales policies for cities with "Excellent" consumption evaluations, maintain the product distribution coverage for cities with "General" sales performance, and continuously monitor the sales situation in these regions.

搜集汇总

数据集介绍

特点

该数据集为江苏地区客户对控温被的需求量分析数据，包含670条记录，通过订单数据分析客户需求指数和等级，帮助企业了解区域消费需求并制定生产策略。