Automobile industry customer ID identification system and method, and medium
An identification method and identification system technology, applied in the field of customer ID identification systems in the automotive industry, can solve the problems of not having ID access between multi-service data, not having ID similarity calculation, unable to form stable value output, etc., so as to reduce the amount of calculation. , Solve the effect of low computing efficiency and insufficient computing power of the whole network
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Embodiment 1
[0059] This system collects, integrates and standardizes customer IDs by opening up the data of multiple business systems of the OEM, combines machine learning algorithms and business rules, classifies and merges the relationship between people and vehicles, repairs wrong IDs, and establishes based on graph calculations The customer ID relationship network realizes the layered display of people (ID cards) machines (mobile phone numbers) and objects (vehicle number, vehicle license number).
[0060]Through this system, the data quality of OEM customer IDs can be improved; the data analysis team can conduct real-time query on the ID relationship network to improve the efficiency of data analysis; the marketing team can implement marketing activities based on more accurate customer IDs to improve customer reach.
[0061] Such as figure 1 , the system includes basic data processing module, ID repair module, ID intimacy calculation, transfer relationship chain judgment module, visu...
Embodiment 2
[0151] This system is provided to the data analysis department of the main engine factory for use, and is applied to precise marketing of car owners or customer relationship management. The system is responsible for updating or repairing customer ID information according to calculation logic on a daily basis, and at the same time provides visualization functions to realize the hierarchical display of customer ID relationship sub-networks. The system has changed the original working method of enterprises integrating and analyzing business data manually, improved the efficiency of data analysis, located problem data in a timely manner and corrected them, and achieved accurate customer contact.
[0152] Before the implementation of this system, enterprises did not identify the SIL list. After the optimization of this system, the following main implementation effects were achieved:
[0153] (1) The SIL list for identifying the frame number accounts for 0.03% of all frame numbers. ...
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