北京地区客户对高筒靴需求量分析数据

通过收集和分析北京地区客户对高筒靴的需求量数据与消费相关数据,了解客户对高筒靴的需求量的购买力水平和消费偏好，以及了解高筒靴在北京地区是否畅销，从而为本行业的企业制定高筒靴销售策略提供参考，更好地为用户提供个性化的商品和服务。1.数据采集：采集本公司在北京地区客户的高筒靴需求量相关交易订单数据。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，按经验取值江苏地区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 constructed by collecting and analyzing demand data and consumption-related data of customers for knee-high boots in the Beijing area, to understand the purchasing power level and consumption preferences of customers towards knee-high boots, as well as the market sales status of knee-high boots in Beijing, so as to provide references for enterprises in the footwear industry to formulate sales strategies for knee-high boots, and better deliver personalized products and services to users.
1. Data Collection: Collect transaction order data related to the demand for knee-high boots from the company's customers in the Beijing area.
2. Data Processing: Classify, merge and accumulate the collected data to facilitate subsequent analysis.
3. Algorithm Processing: Conduct demand analysis on the processed data with the formula: P = { (a₁ / b₁) + (a₂ / b₂) + (a₃ / b₃) } × k, where k is the consumption coefficient that varies across regions. According to empirical values, the k value for Jiangsu region is 0.8. Here, a₁ refers to the minimum order quantity per single transaction, b₁ refers to the minimum consumption amount per single transaction; a₂ refers to the maximum order quantity per single transaction, b₂ refers to the maximum consumption amount per single transaction; a₃ refers to the average order quantity, and b₃ refers to the average consumption amount.
4. Data Classification and Grading: Divide customers into three levels of "high", "medium" and "low" based on the calculated demand level: marked as "high level" for scores above 90, "medium level" for scores between 70 and 90, and "low level" for scores below 70. This helps the company gain a better understanding of its customers: communicate with high-level customers 1 to 2 times per month, with medium-level customers 1 to 2 times per quarter, and with low-level customers 1 to 2 times every six months, so as to develop more precise production and marketing strategies.

搜集汇总

数据集介绍

特点

该数据集包含2558条记录，每年更新，用于分析北京地区客户对高筒靴的需求量和消费行为，帮助企业制定销售策略。数据包括客户订单数量、消费额度、需求指数和客户等级等信息，并通过算法将客户分为高、中、低三个等级。