全国水平传感器进货商层级数据

通过计算全国区域内的不同进货商进货本公司水平传感器的进货明细信息，对不同的进货商按照RFM模型进行分层，通过对进货商进行分层管理，所有企业可在后期对不同层级的进货商采取不同的运营策略提供数据依据。1、数据采集：利用进货存管理系统（金蝶供应链云）导出全国区域内的不同进货商每月进货本公司水平传感器的进货明细。2、数据处理：以进货商编号作为唯一标识，对数据进行清洗、去除无效数据和极限数据等操作。3、数据加工：通过LOOKUP函数计算出进货商最近一次进货距离当月月底的天数R，COUNTIF函数计算该月份进货次数F，SUMIF函数计算该月份进货总金额M，进货商最近一次进货距离当月月底的天数大于或者等于当月进货平均天数则R的定档值为1，进货商最近一次进货距离当月月底的天数小于当月进货平均天数则R的定档值为0，同理也分别计算出F、M的定档值（分别用进货次数、进货总金额与各自的平均值相比较），再根据RFM模型分层规则，将进货商分为8个层级，即分为重要价值客户(RFM为111)、重要保持客户(RFM为101)、重要发展客户(RFM为011)、重要挽留客户(RFM为001)、一般价值客户(RFM为110)、一般保持客户(RFM为100)、一般发展客户(RFM为010)和一般挽留客户(RFM为000)。4、数据应用：通过对进货商进行分层管理，所有企业可对不同层级的进货商定制不同的运营策略。This dataset is constructed by compiling the monthly purchase details of the company's horizontal sensors from various purchasers across the nation, and stratifying the purchasers via the RFM model, to provide a data-driven basis for enterprises to adopt differentiated operational strategies for purchasers at different tiers in later stages. 1. Data Collection: Export the monthly purchase records of the company's horizontal sensors from all nationwide purchasers using the Inventory and Purchase Management System (Kingdee Supply Chain Cloud). 2. Data Processing: Use the purchaser ID as the unique identifier, and conduct data cleaning by removing invalid records and outlier data. 3. Data Calculation and Stratification: First, calculate three core metrics for each purchaser: R, the number of days from the purchaser's last purchase to the end of the current month, using the LOOKUP function; F, the total number of purchases in the current month, using the COUNTIF function; and M, the total purchase amount in the current month, using the SUMIF function. Next, assign a binary rating value of 1 to R if the days from the last purchase to the month-end is greater than or equal to the purchaser's average inter-purchase days in the current month, otherwise assign 0. Repeat the same rating process for F and M by comparing their actual values against their respective averages. Finally, classify purchasers into 8 tiers based on the RFM stratification rules: Important Value Customers (RFM=111), Important Retention Customers (RFM=101), Important Development Customers (RFM=011), Important Win-Back Customers (RFM=001), General Value Customers (RFM=110), General Retention Customers (RFM=100), General Development Customers (RFM=010), and General Win-Back Customers (RFM=000). 4. Data Application: By implementing stratified management of purchasers, enterprises can formulate customized operational strategies for purchasers in different tiers.

搜集汇总

数据集介绍

特点

该数据集为全国水平传感器进货商层级数据，包含1512条记录，每月更新，通过RFM模型对进货商进行分层管理，适用于企业制定针对不同层级进货商的运营策略。