京东到家平台辽宁省湾仔码头商品SKU在线率数据

通过分析京东到家平台辽宁省湾仔码头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.数据来源采集自京东到家平台，聚焦辽宁省湾仔码头商品品牌，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。 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 rates across different product categories of Wanchai Ferry products on the JD Daojia platform in Liaoning Province, and applies the analytical results to the commodity online management performance evaluation system of the brand's instant retail sector.
(1) It is used for internal control management of various sales stores, channels or sales regions, taking whether the SKU online rate data meets the specified threshold as an important quantitative basis for evaluating whether the internal management meets the standards;
(2) It supports refined management of product online status, enabling timely optimization of product supply and sales strategies, increasing the number of online products and market performance, efficiently driving the growth of GMV (Gross Merchandise Volume), and enhancing the brand's instant retail competitiveness.

1. Data Source
The data is collected from the JD Daojia platform, focusing on the Wanchai Ferry brand in Liaoning Province, covering all SKU (Stock Keeping Unit) details of different product categories under this brand, including core fields such as brand information, product name, UPC (Universal Product Code), sales channel, and the province where the product is located.

2. Data Processing
(1) Status Analysis and Online Determination: Conduct detailed screening of product status, distinguish purchasable SKUs from non-online products, 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 select the scope of stores that should be launched for the sales channels within the province, thereby determining the target number of online SKUs for each product category.
(3) SKU Online Rate Calculation: Using the collected data, calculate the category SKU online rate as = actual number of online SKUs / target number of online SKUs, to quantitatively evaluate the product online performance.

3. Data Application
The SKU online rate data is applied to the brand's instant retail field. On one hand, it is used for the target performance assessment of the brand's internal product online management; on the other hand, it optimizes product supply and sales strategies, increases the number of online products and market performance, efficiently drives the growth of GMV (Gross Merchandise Volume), and enhances the brand's instant retail competitiveness.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于京东到家平台在辽宁省湾仔码头区域的商品SKU在线率情况，旨在提供商品库存和在线状态的统计信息。通过分析SKU在线率数据，可以帮助用户了解商品供应稳定性和平台运营效率，适用于零售分析和供应链管理场景。