Warehousing storage location configuration system

Abstract

The invention discloses a warehousing storage location configuration system. The system comprises a warehousing database, a social network sound volume analysis module, a stock prediction module, a warehousing data calculation module and a warehousing location configuration planning module. The social network sound volume analysis module provides commodity sound volume data related to an externalsocial network; the stock prediction module provides stock prediction data; and the warehousing data calculation module provides a commodity data matrix related to the state of the goods in the warehouse, so that the warehousing location configuration planning module comprehensively considers the data provided by the warehousing database, the stock prediction module and the warehousing data calculation module to generate warehousing warehousing location configuration information, and the purpose of optimizing the warehousing location configuration is achieved.

Description

technical field [0001] The invention belongs to the technical field of storage management, and relates to a storage location configuration mechanism for storage management, in particular to a storage location configuration system that considers commodities, storage, and external information as storage location configurations. Background technique [0002] In the logistics industry, there are usually many problems of product stocking and warehouse management, and in traditional warehouse management, it is necessary to rely on manual experience to plan and adjust warehouse configuration. Therefore, warehouse management is facing many challenges today. If it cannot be adjusted in real time with fluctuations in product sales, there will be excess storage space in the off-season, but insufficient storage space will occur in the peak season. Picking efficiency. In addition, the appearance of some products is similar and difficult to distinguish, which makes it easy to make mistake...

AI Technical Summary

Problems solved by technology

[0002] In the logistics industry, there are usually many problems of product stocking and warehouse management, and in traditional warehouse management, it is necessary to rely on manual experience to plan and adjust warehouse configuration. Therefore, warehouse management is facing many challenges today. If it cannot be adjusted in real time with fluctuations in product sales, there will be excess storage space in the off-season, but insufficient storage space will occur in the peak season. Picking efficiency. In addition, the appearance of some products is similar and difficult to distinguish, which makes it easy to make mistakes when picking, or the price difference between adjacent products is large, which will cause a large cost loss when picking the wrong one. In the distance, the picking efficiency will be reduced, and the heavier goods are placed on top of the lighter goods when picking, which will cause damage to the goods. All of the above situations highlight the importance of storage space management

From the perspective of stocking, due to factors such as unknown future sales of new products, unknown relationship with other products, high utilization rate of storage space, and insufficient storage space, it is difficult to decide where to store new products, and in the face of the aforementioned warehouse management Under various factors, it is difficult to properly store the goods in the warehouse, which will hinder the manager's storage allocation and management of incoming and outgoing goods

[0003] Accordingly, in many situations such as changes in commodity sales and new products entering the warehouse, the storage location of the warehouse needs to be adjusted accordingly, and the adjustment of the storage location will affect the subsequent picking and shipping operations, thereby affecting the overall shipping efficiency

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