美团闪购平台海南省宝洁商品SKU在线率数据
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通过分析美团闪购平台海南省宝洁商品不同品类商品的SKU在线率，分析结果应用到品牌即时零售行业商品在线管理绩效评估体系中。（1）用于不同销售门店、渠道或者销售区域的内控管理，将SKU在线率数据是否达到指定值作为评判内部管理是否达标的重要量化依据；（2）用以精细化管理商品在线状态，及时优化商品供给与销售策略，提升在线商品数量与市场表现，高效驱动GMV（商品销售总额）增长，增强品牌即时零售竞争力。1.数据来源采集自美团闪购平台，聚焦海南省内宝洁品牌，涵盖该品牌所有不同品类商品的SKU（库存单元）详情，包括品牌信息、商品名称、UPC（商品编码）、销售渠道、所在省份等核心字段。 2.数据处理 （1）状态分析与在线判定：对商品的状态细致筛查，区分可购买SKU与非在线商品，统计实际在线SKU数量。（2）目标在线SKU数量设定：依据品牌策略及与平台合作框架，针对省内销售渠道，科学选定应上线门店范围，据此确定不同品类商品的目标在线SKU数量 （3）SKU在线率计算：运用所得数据，计算品类SKU在线率=实际在线SKU数量/目标在线SKU数量，以此量化评估商品在线表现。 3.数据应用 将SKU在线率数据应用到品牌即时零售领域，一方面，用以品牌内部商品在线的目标考核；另一方面，优化商品供给与销售策略，提升在线商品数量与市场表现，高效驱动GMV(商品销售总额)增长，增强品牌即时零售竞争力。
This dataset analyzes the SKU online rate of various product categories of Procter & Gamble (P&G) goods on the Meituan Instant Shopping platform in Hainan Province, and the analysis findings are applied to the performance evaluation system for commodity online management in the brand’s instant retail sector. (1) For internal control management across different sales stores, channels or sales regions, the SKU online rate data meeting the specified threshold is taken as a key quantitative metric to assess whether internal management targets are achieved; (2) It is used for refined management of commodity online status, timely optimization of commodity supply and sales strategies, increasing the number of online commodities and market performance, efficiently driving the growth of GMV (Gross Merchandise Volume), and enhancing the brand’s competitiveness in instant retail. 1. Data Source The data is collected from the Meituan Instant Shopping platform, focusing on Procter & Gamble (P&G) brands within Hainan Province, covering details of Stock Keeping Units (SKUs) of all product categories of the brand, including core fields such as brand information, commodity name, UPC (Universal Product Code), sales channel, and the province where the commodity is located. 2. Data Processing (1) Status Analysis and Online Judgment: Conduct detailed screening of commodity status, distinguish between purchasable SKUs and non-online commodities, and count the actual number of active online SKUs. (2) Target Online SKU Quantity Setting: Based on the brand’s strategy and cooperation framework with the platform, scientifically select the scope of stores that should be online for sales channels within the province, and determine the target online SKU quantity for different product categories accordingly. (3) SKU Online Rate Calculation: Using the collected data, calculate the category-level SKU online rate as the ratio of actual active online SKU quantity to the target online SKU quantity, so as to quantitatively evaluate the online performance of commodities. 3. Data Application Apply the SKU online rate data to the brand’s instant retail field. On one hand, it is used for target performance assessment of the brand’s internal commodity online management; on the other hand, it optimizes commodity supply and sales strategies, increases the number of online commodities and market performance, efficiently drives the growth of GMV (Gross Merchandise Volume), and enhances the brand’s competitiveness in instant retail.
