京东到家平台青海省大王商品SKU在线率数据

通过分析京东到家平台青海省大王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；（19002）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.数据来源采集自京东到家平台，聚焦青海省内大王商品品牌，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。 19003.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 rates of various product categories under the Dawang brand on the JD Daojia platform in Qinghai Province, and the analysis results are applied to the performance evaluation system for commodity online management in the brand's instant retail industry.
(1) It is used for internal control management of different sales stores, channels or sales regions, taking whether the SKU online rate data reaches the specified value as an important quantitative basis for judging whether the internal management meets the standards;
(19002) It is used for refined management of commodity online status, timely optimizing commodity supply and sales strategies, increasing the number of online commodities and market performance, efficiently driving the growth of GMV (Gross Merchandise Volume, total commodity sales), and enhancing the competitiveness of the brand's instant retail business.

1. Data Source
The data is collected from the JD Daojia platform, focusing on the Dawang brand in Qinghai Province, covering details of SKUs (Stock Keeping Units) of all product categories under this brand, including core fields such as brand information, product name, UPC (Universal Product Code), sales channel, and province where it 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 online SKUs.
(2) Target Online SKU Quantity Setting: Based on the brand strategy and the cooperation framework with the platform, scientifically determine the scope of stores that should go online for intra-provincial sales channels, and then determine the target number of online SKUs for each product category accordingly.
(3) SKU Online Rate Calculation: Using the obtained data, calculate the category-level SKU online rate as (actual number of online SKUs / target number of online SKUs), so as to quantitatively evaluate the online performance of commodities.

19003. Data Application
The SKU online rate data is applied to the brand's instant retail field. On one hand, it is used for target 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, total commodity sales), and enhances the competitiveness of the brand's instant retail business.

搜集汇总

背景与挑战

背景概述

该数据集聚焦京东到家平台青海省大王商品品牌，通过统计和分析不同品类商品的SKU在线率，提供量化指标以评估商品在线表现。它涵盖品牌信息、商品名称、UPC等核心字段，并基于实际在线SKU数量与目标数量的比率计算在线率，用于内部管理考核和优化商品供给策略，旨在提升在线商品数量、驱动GMV增长并增强品牌在即时零售领域的竞争力。