江苏省贝因美授权门店经验状况分析数据

贝因美作为奶粉行业重要品牌，授权门店数量多地域广，销售受地区发展，人口组成等客观条件影响，因此数据收集整理以省份作为划分区间。本数据通过对江苏省授权门店经营状况数据的收集和分析,了解门店实际经营状况，更好地为门店提供品牌的商品和服务，对销售行业，门店经营模式都有指导意义。（例如：加大对A,B类门店的铺货以及新品推送，投放优惠至C,D类门店，提高竞争力；对E类门店进行进一步市场调研，及时采取品牌新举措，应对当地市场变化）1、数据收集：从门店系统数据库中，筛选2024年江苏省门店经营相关数据，选中字段为：门店编号，门店名称，门店区域，是否存在增值服务，是否属于核心商圈，其中“是否存在增值服务”，“是否属于核心商圈”属于辅助判定指标。2、数据算法加工：a.用SUM函数以及均值计算，直接输出对应门店“2024年平均每月婴配粉门店POS营业额”所在区间（门店系统内具体数字属于公司机密，选中导出字段为计算后的数值区间）； b.使用IF函数，根据营业额及其他指标进行营业状况分级：IF【2024年平均每月婴配粉门店POS营业额＞50万，且辅助判断指标满足2个“是”】，判定为A类门店；IF【2024年平均每月婴配粉门店POS营业额＞50万，且辅助判断指标满足0或1个“是”】，判定为B类门店；IF【10万＜2024年平均每月婴配粉门店POS营业额≤50万，且辅助判断指标满足2个“是”】判定为C类门店；IF【10万＜2024年平均每月婴配粉门店POS营业额≤50万，且辅助判断指标满足0或1个“是”】,判定为D类门店；IF【2024年平均每月婴配粉门店POS营业额≤10万，不论辅助判定指标如何】，判定为E类门店。（数据库内皆为有效数据，不存在营业额≤0的情况）。3.数据应用：以年为单位对门店经营状况量化分析，加大对A,B类门店的铺货以及新品推送，投放优惠至C,D类门店，提高竞争力，对E类门店进行进一步市场调研，及时采取品牌新举措，应对当地市场变化。

Beingmate, as a leading brand in the infant formula industry, has a large number of authorized stores spanning wide regions. Its sales are affected by objective conditions such as regional development and population composition, so data collection and organization are divided by provinces. This data is collected and analyzed from the business status data of authorized stores in Jiangsu Province, to understand the actual operating conditions of the stores, better provide the brand's products and services for the stores, and has guiding significance for the sales industry and store business models (for example: increase product stocking and new product launches for Class A and B stores, launch promotion offers to Class C and D stores to improve competitiveness; conduct further market research on Class E stores, and timely adopt new brand initiatives to respond to local market changes).
1. Data Collection: Filter the 2024 business-related data of stores in Jiangsu Province from the store system database. The selected fields include: store ID, store name, store region, whether value-added services are provided, and whether it belongs to a core business district. "Whether value-added services are provided" and "whether it belongs to a core business district" are auxiliary judgment indicators.
2. Data Algorithm Processing:
a. Use the SUM function and mean calculation to directly output the interval where the "2024 average monthly infant formula store POS turnover" of the corresponding store is located (the specific figures in the store system are company confidential, and the selected exported fields are the calculated value intervals);
b. Use the IF function to grade the business status based on turnover and other indicators:
IF [2024 average monthly infant formula store POS turnover > 500,000 RMB, and 2 "yes" auxiliary judgment indicators are met], it is classified as Class A store;
IF [2024 average monthly infant formula store POS turnover > 500,000 RMB, and 0 or 1 "yes" auxiliary judgment indicators are met], it is classified as Class B store;
IF [100,000 RMB < 2024 average monthly infant formula store POS turnover ≤ 500,000 RMB, and 2 "yes" auxiliary judgment indicators are met], it is classified as Class C store;
IF [100,000 RMB < 2024 average monthly infant formula store POS turnover ≤ 500,000 RMB, and 0 or 1 "yes" auxiliary judgment indicators are met], it is classified as Class D store;
IF [2024 average monthly infant formula store POS turnover ≤ 100,000 RMB, regardless of auxiliary judgment indicators], it is classified as Class E store. (All data in the database are valid, and there is no situation where turnover ≤ 0.)
3. Data Application: Conduct quantitative analysis of store business status on an annual basis. Increase product stocking and new product launches for Class A and B stores, launch promotion offers to Class C and D stores to improve competitiveness, conduct further market research on Class E stores, and timely adopt new brand initiatives to respond to local market changes.

搜集汇总

背景与挑战

背景概述

该数据集包含江苏省贝因美授权门店的经营状况数据，共计3605条记录，数据格式为xlsx，按需更新。数据集通过营业额和辅助指标对门店进行分级，旨在帮助品牌优化商品和服务策略，提升门店竞争力。