Customer pre-judgment method and device, terminal and storage medium
A customer and terminal technology, applied in the field of Internet information, can solve problems such as the spread of customer dissatisfaction, influence on secondary purchases, and difficulty in expressing one's own needs.
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Embodiment 1
[0054] figure 1 It is a flow chart of the customer prediction method provided in Embodiment 1 of the present invention.
[0055] In this embodiment, the client prediction method can be applied to a terminal. For a terminal that needs to perform client prediction, the client prediction function provided by the method of the present invention can be directly integrated on the terminal, or developed with software The toolkit (Software Development Kit, SKD) runs in the terminal.
[0056] like figure 1 As shown, the customer prediction method specifically includes the following steps. According to different requirements, the order of the steps in the flow chart can be changed, and some can be omitted.
[0057] S11: When receiving an incoming call from a customer, obtain the incoming call number.
[0058] In this embodiment, when a customer has a need, he or she dials a customer service hotline through a mobile phone or a landline, and the terminal obtains the calling number.
[0...
Embodiment 2
[0114] figure 2 It is a structural diagram of the client prediction device provided in Embodiment 2 of the present invention.
[0115] In some embodiments, the client prediction device 20 may include a plurality of functional modules composed of program code segments. The program codes of each program segment in the client prediction device 20 can be stored in the memory of the terminal, and executed by at least one processor to execute (see for details figure 1 Description) The function of customer prediction.
[0116] In this embodiment, the client prediction device 20 can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a first acquisition module 201, a second acquisition module 202, a third acquisition module 203, a prediction module 204, an extraction module 205, a judgment module 206, a display module 207, a guide module 208, a startup module 209 and broadcast module 210. The module referred to i...
Embodiment 3
[0174] refer to image 3 As shown in , it is a schematic structural diagram of a terminal provided by Embodiment 3 of the present invention. In a preferred embodiment of the present invention, the terminal 3 includes a memory 31 , at least one processor 32 , at least one communication bus 33 and a transceiver 34 .
[0175] Those skilled in the art should understand that, image 3 The structure of the terminal shown does not constitute a limitation of the embodiment of the present invention, it can be a bus structure or a star structure, and the terminal 3 can also include more or less other hardware or software than shown in the figure , or different component arrangements.
[0176] In some embodiments, the terminal 3 includes a terminal that can automatically perform numerical calculation and / or information processing according to preset or stored instructions, and its hardware includes but not limited to microprocessors, application-specific integrated circuits, programmab...
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