苏州区域客户对厨卫灯需求量数据

通过收集和分析苏州区域客户对厨卫灯需求量数据消费相关数据,了解客户对厨卫灯的需求量的购买力水平和消费偏好，从而了解该类商品是否畅销，从而为本行业的所有企业制定生产策略，例如高等级企业可每月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，为此更好地为用户提供个性化的商品和服务。1.数据采集：采集平时客户对厨卫灯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（900分以上标记为“高等级”，500-900分区间内标记为“中等级”，500分以下标记为“低等级”），帮助公司更好地理解客户。

This dataset is developed by collecting and analyzing customer demand and consumption-related data for kitchen and bathroom lamps in the Suzhou region, with the objectives of understanding customers' purchasing power, consumption preferences, and the market popularity of such products, thereby providing a reference for all enterprises in the industry to formulate production strategies. For instance, high-tier enterprises may be contacted 1 to 2 times per month, medium-tier enterprises 1 to 2 times per quarter, and low-tier enterprises 1 to 2 times every six months, to better deliver personalized products and services to end users.

The dataset construction process includes four main steps:
1. Data Collection: Collect daily transaction data related to customers' demand for kitchen and bathroom lamps.
2. Data Preprocessing: Classify, merge and accumulate the collected data to enable subsequent analytical operations.
3. Algorithm-driven Demand Analysis: Perform demand analysis on the preprocessed data using the following formula:
$P = left{ frac{a_1( ext{Minimum Order Quantity per Transaction})}{b_1( ext{Minimum Consumption Amount per Transaction})} + frac{a_2( ext{Maximum Order Quantity per Transaction})}{b_2( ext{Maximum Consumption Amount per Transaction})} + frac{a_3( ext{Average Order Quantity per Transaction})}{b_3( ext{Average Consumption Amount per Transaction})}
ight} imes k$
where $k$ represents the consumption coefficient, which varies across different regions, and the empirical value of $k$ is set to 0.8.
4. Customer Classification and Grading: Divide customers into three tiers based on the calculated demand score: customers with a score above 900 are categorized as "high-tier", those with a score ranging from 500 to 900 (inclusive) are categorized as "medium-tier", and those with a score below 500 are categorized as "low-tier", to assist enterprises in gaining deeper insights into their customer base.

搜集汇总

数据集介绍

特点

该数据集记录了苏州区域客户对厨卫灯的需求量，包含774条数据，每季度更新。数据通过特定算法处理，用于分析客户需求量和消费偏好，帮助企业制定生产策略。