广东区域客户对激光测径仪需求量数据
收藏资源简介：
通过收集和分析广东区域客户对激光测径仪的消费相关数据,了解客户对激光测径仪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。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。1.数据采集：采集平时客户对激光测径仪的相关交易数据。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，按经验取值广东k值为0.75。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（5分以上标记为“高等级”，1-5分区间内标记为“中等级”，1分以下标记为“低等级”）。
This dataset is developed by collecting and analyzing consumer-related data of laser diameter measuring instruments from customers in the Guangdong region. Its objectives are to understand customers' purchasing power and consumption preferences for such instruments, assess the market popularity of the product, provide a basis for all enterprises in the industry to formulate production strategies, and better deliver personalized products and services to end users. Additionally, it helps enterprises gain a deeper understanding of their customer base: high-tier enterprises can communicate with their clients 1 to 2 times per month, mid-tier enterprises 1 to 2 times per quarter, and low-tier enterprises 1 to 2 times every six months, so as to develop more precise production and marketing strategies. The dataset construction workflow includes four main steps: 1. Data Collection: Gather relevant transaction data of customers' purchases of laser diameter measuring instruments. 2. Data Processing: Classify, merge and accumulate the collected data to facilitate subsequent analytical work. 3. Algorithm-based Demand Analysis: Process the cleaned data with the following formula to calculate demand level: P = { (a1 / b1) + (a2 / b2) + (a3 / b3) } * k, where: - 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 denotes the consumption coefficient, which varies across regions. The empirical value of k for Guangdong is 0.75. 4. Data Classification and Grading: Divide customers into three tiers based on the calculated demand score: customers with a score above 5 are categorized as "high-tier", those with a score between 1 and 5 as "medium-tier", and those with a score below 1 as "low-tier".
