四川区域客户对静音风机需求量数据
收藏资源简介：
通过收集和分析四川区域客户对静音风机的需求量数据消费相关数据,了解客户对静音风机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。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：采集平时客户对静音风机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，按经验取值四川k值为0.7。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（30分以上标记为“高等级”，10-30分区间内标记为“中等级”，10分以下标记为“低等级”）。
This dataset is constructed by collecting and analyzing transaction and demand-related data of Sichuan regional customers for silent fans, aiming to understand customers' purchasing power, demand volume and consumption preferences towards silent fans, evaluate the market popularity of the product, and provide references for all enterprises in the industry to formulate production strategies and provide personalized products and services for users. It also helps enterprises gain a better understanding of their customers: high-level enterprises can communicate with customers 1 to 2 times per month, mid-level enterprises 1 to 2 times per quarter, and low-level enterprises 1 to 2 times every six months, so as to develop more precise production and marketing strategies. 1. Data Collection: Collect daily transaction data related to customers' demand for silent fans. 2. Data Preprocessing: Classify, merge and accumulate the collected data to facilitate subsequent analysis work. 3. Algorithm-based Demand Analysis: Conduct demand analysis on the preprocessed 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 single-order quantity, and b3 represents the average single-order consumption amount. Here, k is the consumption coefficient with values varying across regions. According to empirical experience, the k value for Sichuan is 0.7. 4. Data Classification and Grading: Divide customers into three levels based on the calculated demand score: customers with a score above 30 are marked as "high-level", those with a score between 10 and 30 as "mid-level", and those with a score below 10 as "low-level".
