Intelligent goods distribution system and method

Abstract

The present invention discloses an intelligent goods distribution method which comprises: a first step of acquiring identification codes which goods carry; a second step of acquiring classification information of the goods according to the identification codes and partitioning goods spaces for storing the goods; and a third step of indicating the goods spaces to send out position prompting information so as to guide placement of the goods. The present invention also discloses an intelligent goods distribution system which comprises at least one code reader, at least one goods shelf and at least one prompter, wherein each code reader is used for reading out the identification codes which the goods carry and acquiring the classification information of the goods according to the identification codes; a plurality of goods spaces for storing the goods are formed in each goods shelf; and each prompter is used for receiving signals from the code readers and displaying the position information of the goods spaces corresponding to the goods. According to the present invention, the goods to be distributed are identified by the identification codes, an order is subjected to dynamic optimal distribution according to the classification information of the goods in the order and an operator is prompted by an indicating lamp; and the problems of low manual operation efficiency and high error probability in the link of distributing goods according to the order in the current e-commerce are solved.

Description

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AI Technical Summary

Benefits of technology

The present invention provides systems that help manage large amounts of items like parcels efficiently by automatically assigning them one based upon their type (class) without requiring human labor. It also includes feature modules such as sorting codes that read these labels and generate a map showing where different types of objects may fit together within its own container. When ordering materials into stores, they use this maps to determine which ones best match what needs to be done next. Additionally, the system has indicators lights indicating how many containers should receive certain products before sending orders back home. Overall, the technical results include improved management efficacy and lower errors compared to previous methods.

Problems solved by technology

Technological Problem: Current systems involve manually handling inventory issues related to electronic commerce (ECO) websites, but there may still exist technical challenges associated with ordering shipments based upon their own characteristics like timely delivery and accurate tracking. Existing solutions require significant amounts of labor and resource input while maintaining good quality productivity. Therefore, this patented focuses on improving the management and organization of these web sites' operating processes.

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