Logistics order analysis and prediction system based on Internet of Things trade

Abstract

The invention discloses a logistics order analysis and prediction system based on Internet of Things trade, and solves the problems that an existing logistics company is insufficient in order evaluation, so that manpower is insufficient, transportation is affected, and a user finds that a package corresponding to an order is damaged and lost only when not receiving an express for a long time. Thesystem comprises a data acquisition module, a server, an order analysis module, an order prediction module, an order monitoring module, an anomaly analysis module and an order early warning module. According to the invention, order purchase value calculation is carried out on shopping cart commodities added by a user through the order analysis module, and the total amount of orders can be estimated in advance by analyzing the shopping cart commodities of the user. Logistics information of delivered orders is collected through the order monitoring module, an order time exception instruction, anorder timeout exception instruction and an order weight exception instruction are obtained, order exception information is sent to users and merchants, and the users can know dynamic information of the orders and parcels in time.

Description

technical field [0001] The invention relates to the technical field of logistics order analysis, in particular to a logistics order analysis and prediction system based on Internet of Things trade. Background technique [0002] In the daily operation of the logistics center, order processing is a daily necessary operation and the beginning of all operations. As the saying goes, "Only after receiving the order, other things will start", so the operation effect of order processing has a profound impact on Follow-up operations such as picking and delivering. [0003] However, in the existing logistics network trade, many users add goods to the shopping cart and then make purchases. The existing logistics orders cannot predict the order of the goods added to the shopping cart by the user, so the logistics company Prepare the order to avoid insufficient evaluation of the order, resulting in insufficient manpower and affecting transportation. At the same time, during the transpor...

AI Technical Summary

Problems solved by technology

[0002] In the daily operation of the logistics center, order processing is a daily necessary operation and the beginning of all operations. As the saying goes, "Only after receiving the order, other things will start", so the operation effect of order processing has a profound impact on Follow-up picking and delivery operations

[0003] However, in the existing logistics network trade, many users add goods to the shopping cart and then make purchases. The existing logistics orders cannot predict the order of the goods added to the shopping cart by the user, so the logistics company Prepare the order to avoid insufficient evaluation of the order, resulting in insufficient manpower and affecting transportation. At the same time, during the transportation process of the logistics company, the user cannot know in time whether there is any abnormality in the order and the package, resulting in the user not receiving the express delivery for a long time. It is found that the package corresponding to the order is damaged or lost

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