江西区域客户对配电控制柜需求量数据
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通过收集和分析江西区域客户对配电控制柜的需求量数据消费相关数据,了解客户对配电控制柜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。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。采集平时客户对配电控制柜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，按经验取值江西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（5分以上标记为“高等级”，2-5分区间内标记为“中等级”，2分以下标记为“低等级”，帮助公司更好地理解客户。
By collecting and analyzing the demand and consumption-related data of customer enterprises in Jiangxi region for power distribution control cabinets, this dataset helps to understand the purchasing power level and consumption preferences of customers regarding these cabinets, determine the market popularity of the product, and enable all enterprises in the industry to formulate production strategies to better provide personalized products and services for users. For high-tier customer enterprises, communicate with them 1 to 2 times per month; for mid-tier ones, 1 to 2 times per quarter; for low-tier ones, 1 to 2 times every six months, so as to formulate more precise production and marketing strategies. 1. Data Collection: Gather routine transaction data related to the demand of customers for power distribution control cabinets. 2. Data Preprocessing: Classify, merge and accumulate the collected data to facilitate subsequent analysis. 3. Algorithmic Processing: Conduct demand analysis on the preprocessed data using the formula: $P = (a_1 imes b_1 + a_2 imes b_2 + a_3 imes b_3) imes k$. Here, $a_1$ refers to the minimum single-order quantity, $b_1$ the minimum single-order consumption amount, $a_2$ the maximum single-order quantity, $b_2$ the maximum single-order consumption amount, $a_3$ the average order quantity, and $b_3$ the average consumption amount. $k$ is the consumption coefficient, which varies across different regions. Based on empirical experience, the $k$ value for Jiangxi region is set to 0.8. 4. Data Classification and Tiering: Divide customers into high, medium and low tiers based on the calculated demand level: customers with a score above 5 are marked as "high-tier", those with a score between 2 and 5 as "mid-tier", and those with a score below 2 as "low-tier", which helps enterprises better understand their customer base.
