Management method based on intelligent locker user behavior data

Abstract

The invention discloses a management method based on intelligent locker user behavior data. When delivering an express, a courier inputs express waybill barcode information to an intelligent locker terminal, and the barcode information comprises customer information and product information; the intelligent locker terminal summarizes the customer information and sends the customer information to a cloud server; the cloud server processes the customer information according to a preset data processing rule, and various statistical forms are formed according to demands; an administrator determines the types, frequency and play time of advertisements needing to be pushed to an intelligent locker according to the statistical forms, and the cloud server is utilized for pushing the advertisements and play strategies to the intelligent locker terminal; an intelligent locker terminal advertisement system is used for querying the play strategies of a local database and calling and playing related video files. According to the management method, the likes and purchasing power of customers can be automatically analyzed and counted according to the data, the customers can be screened out according to a combination of preset conditions, and the advertisements can be more accurately delivered by observing the occupied portion and the tendency.

Description

technical field [0001] The invention relates to a management method of user behavior data in the field of logistics, in particular to a management method based on user behavior data of an intelligent locker. Background technique [0002] At present, various advertising media are developing rapidly. Smart lockers are used as temporary storage cabinets for posting and picking up items. Importantly, how to place advertisements to make better use of smart locker media needs to be supported by survey data. [0003] Most of the current survey data comes from manual statistics and various market surveys. This requires a lot of manpower, material resources and time, and the accuracy rate is not particularly high; at present, courier companies can also do such statistics, but the statistics made by a certain courier company can only count part of the customer's data, while the smart quick check box Statistics can summarize the data of multiple courier companies or e-commerce compan...

AI Technical Summary

Problems solved by technology

This requires a lot of manpower, material resources and time, and the accuracy rate is not particularly high; at present, courier companies can also do such statistics, but the statistics made by a certain courier company can only count part of the customer's data, while the smart quick check box Statistics can summarize the data of multiple express companies or e-commerce companies, such data is more accurate and more practical

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