智慧食堂客户价值分析数据

通过计算食堂就餐客户消费信息，对就餐客户按照RFM模型进行分层，分析就餐客户的价值和贡献度，便于食堂管理人员直观了解不同层级就餐客户数量，为后期对不同层级消费就餐客户采取不同的运营策略提供数据依据，本分析方法同样适用于其他消费场景。1、数据采集：利用智慧食堂管理平台导出2024年5月就餐客户消费明细。2、数据处理：以用户编号作为唯一标识，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函数计算出就餐客户最近一次消费时间R，COUNTIF函数计算就餐客户总就餐次数F，SUMIF函数计算就餐客户总消费金额M，通过定档法高于平均值为1低于平均值为0，计算各个就餐客户的R定档值=IF（Rn>average(R),1,0），同理计算F、M的定档值，再根据RFM模型客户分层规则，将就餐客户分为8个层级。4、数据应用：通过分析分析消费就餐客户的消费金额、消费次数、最近一次消费时间，对用户进行分层管理，便于管理人员后续对不同层级就餐客户定制不同的运营策略。

By analyzing the consumption data of dining customers in the cafeteria, this work stratifies the customers using the RFM model to assess their value and contribution. It allows cafeteria managers to intuitively understand the number of customers in each stratum, providing a data-driven basis for formulating differentiated operational strategies for customers of different tiers in the subsequent stage. This analytical method is also applicable to other consumption scenarios.
1. Data Collection: Export the consumption details of dining customers in May 2024 via the smart cafeteria management platform.
2. Data Preprocessing: Use the user ID as the unique identifier, and perform operations including data cleaning, removal of invalid and outlier data.
3. Data Processing: Calculate the time since the last consumption (R) for each dining customer using the LOOKUP function, count the total number of dining visits (F) via the COUNTIF function, and compute the total consumption amount (M) via the SUMIF function. Next, apply the thresholding method: assign a value of 1 to data points above the average, and 0 to those below the average, to calculate the thresholded values of R, F, and M respectively. Specifically, the thresholded value of R is defined as "IF(Rn > average(R), 1, 0)", and the thresholded values of F and M are calculated in the same way. Finally, categorize dining customers into 8 strata in accordance with the customer stratification rules of the RFM model.
4. Data Application: Analyze the consumption amount, consumption frequency, and time since the last consumption of dining customers to implement stratified user management, which facilitates managers to develop targeted operational strategies for customers of different strata in the follow-up work.