订单仓库名称-物流单号关联数据集

1.数据采集：从企业销售平台的订单系统中采集连续特定期间内的销售订单商品数据，包括仓库名称、物流单号、商品名称、规格、数量、订单编号；
2.数据处理：1）按“仓库名称”分组，关联组内所有物流单号，再通过订单编号关联每个物流单号对应的商品名称、规格、数量；2）提取物流单号前缀特征，按前缀分类标记对应的物流方，统计各仓库下不同物流方的订单数量；3）计算各物流方的订单占比（“某物流方订单数量/对应仓库总订单数量×100%”）；4）以订单编号为唯一标识，筛选并标记重复的物流单号记录，保留单条有效记录；5）形成仓库名称-物流方-物流单号-订单编号-商品名称-规格-数量-物流方订单占比的结构化关联数据集合；
3.数据应用：分析各仓库物流合作方的订单分布情况，辅助优化仓库物流方合作策略；关联仓库与物流单号数据，实现商品出库至配送环节的全流程跟踪，提升订单追溯效率。

1. Data Collection: Collect sales order item data within a continuous specified period from the order system of the enterprise sales platform, including warehouse name, logistics tracking number, product name, specification, quantity, and order number.
2. Data Processing:
1) Group the data by "warehouse name", associate all logistics tracking numbers within each group, then link the product name, specification and quantity corresponding to each logistics tracking number via the order number;
2) Extract the prefix features of logistics tracking numbers, classify and mark the corresponding logistics service providers based on the prefixes, and count the order volume of different logistics service providers under each warehouse;
3) Calculate the order proportion of each logistics service provider, which is formulated as (number of orders of a certain logistics service provider / total number of orders of the corresponding warehouse × 100%);
4) Take the order number as the unique identifier, filter and mark duplicate logistics tracking number records, and retain only one valid record;
5) Form a structured associated dataset with the following fields: warehouse name, logistics service provider, logistics tracking number, order number, product name, specification, quantity, and order proportion of the logistics service provider.
3. Data Application: Analyze the order distribution of logistics partners of each warehouse to assist in optimizing the cooperation strategy between warehouses and logistics service providers; associate warehouse and logistics tracking number data to realize full-process tracking from product outbound to the distribution link, thereby improving order traceability efficiency.

搜集汇总

背景与挑战

背景概述

该数据集由贵州智善农业科技有限责任公司自行产生，专注于批发和零售业中的批发业场景，数据规模为414KB并每日更新。它整合了仓库名称、物流单号、商品信息等数据，旨在支持仓库物流协同与订单追溯，通过分析仓库订单分布和物流方合作情况，优化策略并提升商品从出库到配送的全流程跟踪效率。