社区生鲜超市采购管理数据

通过销售管理系统，录入每日门店采购产品，对门店供应商数据进行统一汇总，形成每个供应商采购数据量，通过每月对比，为整体采购提供数据支持。社区生鲜超市采购分析数据的算法规则包括以下几个方面： 1、数据采集：通过门店供应商进货、数据统计等应用场景，采集农产品零售过程中采购供应商、月付款数据。 2、数据处理：对采集到的数据进行去重、合并、累加，便于分析使用。 3、算法加工：（1）对每日数据进行统计，统计出每月每个门店供应商的付款额；（2）对每月每家门店供应商送货金额进行同比增长率计算；4、数据应用：将分析结果应用到实际门店采购工作中，帮助运营部门更好地判断每家供货门店的供应商的采购量，每月增长率不同，以此推算产品销售情况。

Daily store procurement products are logged through the sales management system, and store supplier data is uniformly aggregated to generate the procurement volume for each supplier. Monthly comparisons of this data provide data support for overall procurement work.

The algorithm rules for procurement analysis data of community fresh food supermarkets include the following aspects:
1. Data Collection: Collect procurement supplier and monthly payment data during the agricultural product retail process via application scenarios such as store supplier restocking and data statistics.
2. Data Processing: Deduplicate, merge, and accumulate the collected data to facilitate analysis and application.
3. Algorithm Processing: (1) Conduct statistics on daily data to calculate the monthly payment amount of each store supplier; (2) Calculate the year-on-year growth rate of the delivery amount of each store supplier per month.
4. Data Application: Apply the analysis results to actual store procurement operations, helping the operation department better assess the procurement volume of suppliers for each supplying store, and infer product sales status based on the different monthly growth rates.

搜集汇总

数据集介绍

特点

该数据集为社区生鲜超市采购管理数据，属于批发和零售业，包含40条企业数据，每月更新。数据用于门店采购产品的录入和供应商数据的汇总，通过算法分析每月供应商付款额和同比增长率，支持采购决策。