京东平台国旗商品销量稳定性分析数据

本数据对公司国旗产品的开发改进和精准的库存管理、供应商的生产计划调整、同行销售商的市场策略制定等方面具有重要的应用价值，具体包括：1.利用销量稳定性分析数据，公司能够识别出在京东平台销售表现稳定的国旗商品的型号，从而在产品开发和改进时做出更符合市场需求的决策。同时，公司还可以据此针对销售稳定的型号进行有效、精准地库存管理。2.对供应商（生产厂家）而言，通过销量稳定性分析有助于了解不同类型的国旗产品在京东平台的销售需求波动风险，从而有针对性地调整生产和供货计划。3.对其他国旗商品销售商（即同行）而言，本数据可为其了解国旗产品的市场趋势、明确自身产品定位和市场策略等提供参考。1.数据收集和预处理：（1）数据收集：收集公司在京东平台上销售的国旗商品的销售统计信息，具体包括统计年份、商品类目、商品名称、商品型号、销售渠道/平台、1月销量、2月销量、3月销量、4月销量、5月销量、6月销量、7月销量、8月销量、9月销量、10月销量、11月销量、12月销量。（2）数据预处理：对采集到的原始数据进行处理，去除缺失和异常数据。
2.数据汇总：将1至12月的销量汇总，计算得到年度总销量。
3.建立销量稳定性分析模型：（1）计算月平均销售量：计算月平均销售量＝年度总销量/12；（2）计算月销售量方差：月销售量方差＝[(1月销量-月平均销售量)^2+(2月销量-月平均销售量)^2+(3月销量-月平均销售量)^2+…+(12月销量-月平均销售量)^2]/12；（3）销量稳定性分析：当方差小于100000，则分析结论为“销量很平稳”；当方差大于等于100000且小于等于200000，则分析结论为“销量一般平稳”；当方差大于200000，则分析结论为“销量波动大”。

This dataset has substantial practical value for the development and refinement of the company's national flag products, accurate inventory management, adjustment of suppliers' production planning, and formulation of marketing strategies for peer retailers, among other aspects. Specifically:
1. For the company: By utilizing sales stability analysis data, the company can identify the models of national flag products with stable sales performance on the JD.com platform, thereby making decisions that better align with market demand during product development and improvement. Meanwhile, the company can also conduct effective and precise inventory management for the stable-selling models based on this data.
2. For suppliers (manufacturers): Sales stability analysis enables them to grasp the fluctuation risks of sales demand for different types of national flag products on the JD.com platform, so as to adjust their production and supply plans in a targeted manner.
3. For other national flag product retailers (i.e., peers): This dataset can serve as a reference for them to understand market trends of national flag products, clarify their own product positioning and marketing strategies, and other related aspects.

1. Data Collection and Preprocessing:
(1) Data Collection: Collect sales statistics of the company's national flag products sold on the JD.com platform, which specifically include statistical year, product category, product name, product model, sales channel/platform, sales volume in January, February, March, April, May, June, July, August, September, October, November, and December.
(2) Data Preprocessing: Process the collected raw data by eliminating missing and abnormal data.

2. Data Aggregation: Aggregate the sales volumes from January to December to calculate the annual total sales volume.

3. Establishment of Sales Stability Analysis Model:
(1) Calculate monthly average sales volume: Monthly average sales volume = Annual total sales volume / 12;
(2) Calculate monthly sales volume variance: Monthly sales volume variance = [(January sales volume - monthly average sales volume)² + (February sales volume - monthly average sales volume)² + (March sales volume - monthly average sales volume)² + … + (December sales volume - monthly average sales volume)²] / 12;
(3) Sales stability analysis: If the variance is less than 100,000, the analysis conclusion is "Sales are very stable"; if the variance is greater than or equal to 100,000 and less than or equal to 200,000, the analysis conclusion is "Sales are generally stable"; if the variance is greater than 200,000, the analysis conclusion is "Sales have large fluctuations".

搜集汇总

数据集介绍

特点

该数据集记录了京东平台2023年国旗商品的月度销量数据，包括不同型号的销售表现及稳定性分析，适用于产品开发和市场策略参考。