热销产品月度销售数据集

1、数据采集：从企业的产品销售数据统计表中获取统计月份、产品编号、产品名称、规格、基本单位和月度出库数量共6个维度评价数据。 2、数据处理：运用重复值检测与删除、逻辑错误检查与修正的方法，去除重复和错误数据，提升数据准确性与一致性；按产品编号和统计月份分组，对月度出库数量求和得出各产品不同月份的销售总量。 3、数据应用：应用于销售预测场景，借助销售趋势和增长率预测未来产品销量，帮助企业提前做好库存和生产准备；也用于产品评估场景，依据销售表现评估产品市场竞争力，为产品研发和优化提供方向。1. Data Collection: Extract 6-dimensional evaluation data including statistical month, product ID, product name, specification, basic unit and monthly outbound shipment quantity from the enterprise's product sales data statistical table. 2. Data Processing: Adopt duplicate value detection and deletion, logical error checking and correction methods to eliminate duplicate and erroneous data, thereby improving data accuracy and consistency; group the dataset by product ID and statistical month, and sum the monthly outbound shipment quantities to obtain the total sales volume of each product in respective months. 3. Data Application: This dataset is applied in sales forecasting scenarios, where future product sales volumes are predicted by leveraging sales trends and growth rates, helping enterprises make advance preparations for inventory and production; it is also utilized in product evaluation scenarios, where the market competitiveness of products is assessed based on their sales performance, providing guidance for product R&D and optimization.