金义保税区冷链物流货物库存管理数据

金义保税区作为浙江发展国际贸易的重要载体，为进出口企业提供冷库仓储管理服务，依托金义保税区冷库仓储管理服务可实时获取特定商品的出入库流水数据，应用于衡量商品在采购和销售情况，进而分析该类商品的进出口贸易情况，为企业预测未来市场需求、优化销售库存储备和完善供应链服务提供支撑。 1、数据采集：从金义综合保税区物流管理系统实时采集冷库仓储的货物出入库信息数据；2、数据处理：对采集到的数据进行清洗，按照货物维度进行汇总，对报关单、提单号数据进行匿名化处理；3、数据加工：采用库存货物周转比优化算法，计算货物的出入库周转比R=（月度入库总货值X1+月度出库货总值Y1）/（季度入库总货值X2+季度出库货总值Y2）；4、数据应用：通过计算并分析货物出入库周转比R的大小，判断货物的进出口贸易需求（R大于200%为极优，R在100%~200%为优质，R在80%~100%为一般，80%以下为预警）。

As a key carrier for developing international trade in Zhejiang Province, the Jinyu Free Trade Zone provides cold storage warehouse management services for import and export enterprises. Relying on these services, real-time access to in-out warehouse flow data of specific commodities can be obtained, which is used to measure the procurement and sales status of commodities, further analyze the import and export trade situation of such commodities, and provide support for enterprises to forecast future market demand, optimize sales inventory reserves and improve supply chain services. 1. Data Collection: Collect real-time cargo in-out warehouse information data from the logistics management system of the Jinyu Comprehensive Free Trade Zone; 2. Data Preprocessing: Clean the collected data, summarize it by cargo dimension, and perform anonymization processing on customs declaration forms and bill of lading number data; 3. Data Calculation: Adopt the inventory cargo turnover ratio optimization algorithm to calculate the cargo in-out warehouse turnover ratio R = (monthly total inbound cargo value X1 + monthly total outbound cargo value Y1) / (quarterly total inbound cargo value X2 + quarterly total outbound cargo value Y2); 4. Data Application: Judge the import and export trade demand of goods by calculating and analyzing the value of the cargo in-out warehouse turnover ratio R: R > 200% is extremely excellent, 100% ≤ R ≤ 200% is excellent, 80% ≤ R < 100% is general, and below 80% is early warning.

搜集汇总

数据集介绍

特点

该数据集详细记录了金义保税区冷链物流货物的库存管理信息，包含634条记录，更新频次为按需更新。数据来源于企业数据，应用场景包括为进出口企业提供冷库仓储管理服务，实时获取特定商品的出入库流水数据，应用于衡量商品在采购和销售情况，进而分析该类商品的进出口贸易情况，为企业预测未来市场需求、优化销售库存储备和完善供应链服务提供支撑。