上海区域客户对铝钎剂需求量数据
收藏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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资源简介:
通过收集和分析上海区域客户对铝钎剂的需求量数据消费相关数据,了解客户对铝钎剂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:采集平时客户对铝钎剂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(100分以上标记为“高等级”,10-100分区间内标记为“中等级”,10分以下标记为“低等级”)。
By collecting and analyzing consumption-related data including customer demand for aluminum fluxes in the Shanghai area, this dataset aims to understand the purchasing power and consumption preferences of customers for aluminum fluxes, determine the marketability of the product, and provide references for all enterprises in the industry to formulate production strategies and deliver personalized products and services to users more effectively.
1. Data Collection: Collect relevant transaction data regarding customers' daily demand for aluminum fluxes.
2. Data Processing: Classify, merge, and accumulate the collected data to facilitate subsequent analysis.
3. Algorithm Processing: Conduct demand analysis on the processed data using the following formula:
P = { (a1 / b1) + (a2 / b2) + (a3 / b3) } * k
Where: a1 is the minimum single-order quantity, b1 is the minimum single-order consumption amount, a2 is the maximum single-order quantity, b2 is the maximum single-order consumption amount, a3 is the average single-order quantity, b3 is the average single-order consumption amount, and k is the consumption coefficient which varies across regions. The empirical value of k for Shanghai is 0.8.
4. Data Classification and Grading: Divide customers into three levels of "high", "medium" and "low" based on the calculated demand score: marked as "high-level" for scores above 100, "medium-level" for scores within the range of 10 to 100, and "low-level" for scores below 10.
提供机构:
浙江新锐焊接科技股份有限公司
创建时间:
2024-09-14
搜集汇总
数据集介绍

特点
该数据集包含578条记录,记录了上海区域客户对铝钎剂的需求量数据,每半年更新一次,用于分析客户购买力和消费偏好,帮助企业制定生产策略。
以上内容由遇见数据集搜集并总结生成



