Implementation of Data Mining Technology in Bonded Warehouse Inbound and Outbound Goods Trade

Abstract

For taxed goods, freight is generally determined by multiplying the allocated freight for each kg and outgoing weight based on the outgoing order number on the outgoing bill. Considering that conventional logistics is insufficient to cope with the rapid response of e-commerce orders to logistics requirements, this work discussed the implementation of data mining technology in bonded warehouse inbound and outbound goods trade. Specifically, a bonded warehouse decision-making system with data warehouse, conceptual model, online analytical processing system, human-computer interaction module, and web data sharing platform was developed. The statistical query module can be used to perform statistics and queries on warehousing operations. After the optimization of the whole warehousing business process, it only takes 19.1 hours to get the actual freight, which is nearly one-third less than the time before optimization. This study could create a better environment for the development of China’s processing trade.