配送全国区域内的各个餐饮店层级数据

通过计算本公司与全国区域内的不同餐饮店的配送消费信息，对不同的餐饮店按照RFM模型进行分层，本行业所有企业可对不同层级的餐饮店采取不同的运营策略。1、数据采集：导出本公司与全国区域内的不同餐饮店的配送消费信息。2、数据处理：以餐饮店编号作为唯一标识，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函数计算出餐饮店最近一次配送距离当月月底的天数，COUNTIF函数计算当月配送次数，SUMIF函数计算当月配送总金额，最近一次配送距离当月月底的天数大于或者等于当月平均配送间隔天数则R定档值为1，反之R定档值为0，当月配送次数大于或者等于当月平均配送次数则F定档值为1，反之F定档值为0，当月配送总金额大于或者等于当月配送平均金额则M定档值为1，反之M定档值为0，再根据RFM模型分层规则按RFM值将餐饮店分为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：通过对餐饮店进行分层管理，所有企业可对不同层级的餐饮店定制不同的运营策略。By calculating the delivery and consumption data between our company and various restaurants across the country, we can stratify these restaurants using the RFM model, allowing all enterprises in this industry to adopt differentiated operating strategies for restaurants at different tiers. 1. Data Collection: Export the delivery and consumption data between our company and various restaurants across the country. 2. Data Processing: Take the restaurant ID as the unique identifier, and conduct data cleaning to remove invalid data and outlier data. 3. Data Processing and Calculation: Utilize the LOOKUP function to compute the number of days between a restaurant’s last delivery and the end of the current month; use the COUNTIF function to calculate the total number of deliveries in the current month; employ the SUMIF function to calculate the total delivery amount in the current month. Then, assign a rating of 1 to R if the number of days between the last delivery and the end of the current month is greater than or equal to the average delivery interval days of the current month, otherwise assign 0; assign a rating of 1 to F if the number of deliveries in the current month is greater than or equal to the average number of monthly deliveries, otherwise assign 0; assign a rating of 1 to M if the total delivery amount in the current month is greater than or equal to the average monthly delivery amount, otherwise assign 0. Subsequently, stratify restaurants into 8 tiers according to the RFM model stratification rules based on their RFM values: 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 Churn Customers (RFM=000). 4. Data Application: Through stratified management of restaurants, all enterprises in this industry can develop tailored operating strategies for restaurants at different tiers.