Customer portrait drawing method, device and equipment in logistics service

Abstract

The invention relates to a method, device and equipment for customer portraying in logistics service, and the method comprises the steps: obtaining the data information of a customer, enabling the data information to comprise offline information and real-time information, determining an offline collection period according to the characteristics of the data information if the data information is the offline information, and determining an offline label of the offline information according to the offline collection period; aggregating the offline tags into the same hive table, aggregating the offline tags with the same identity identification information into a row of hive data, and storing the row of hive data in Elastic Search; if the data information is real-time information, pulling historical information corresponding to the real-time information in the HBase, determining a real-time label according to the real-time information and the historical information, and writing the real-time label into the HBase. According to the technical scheme, each label is independently calculated, the change of one label does not influence other labels, the implementation is simple and quick, thelabels can be output for multiple scenes, and the practicability is high.

Description

technical field [0001] The invention relates to the technical field of logistics, in particular to a method, device and equipment for customer portraits in logistics services. Background technique [0002] In recent years, with the vigorous development of the e-commerce industry, the express delivery industry has also entered a stage of high growth and high competition. In order to improve the quality of customer service and courier services, the need to draw user portraits based on historical user activity trajectories and behaviors emerged as the times require. Due to the particularly large amount of data in the express delivery industry, the requirements for technology have also increased. For different business scenarios, such as salesman delivery, salesman collection, customer service work orders, customer service requires different customer portrait labels and different coping strategies. And big data technology can clean, analyze and calculate labels for a large amo...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a method, device and equipment for customer portraits in logistics services, so as to overcome the current problem of generating labels according to rules, which is relatively complicated to implement and can only output labels for a single scene, and has low practicability. question

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