Client visit relationship judgment system and method
A customer and relationship technology, applied in the field of customer visit relationship judgment system, can solve the problem of not being able to effectively determine whether the visitor and the broker are walking together, and not accurately judging whether the visitor is a natural visitor customer or a channel customer, etc. The effect of judgment accuracy
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Embodiment 1
[0040] The embodiment of a system for judging customer visit relationship in the embodiment of the present invention is basically as attached figure 1 shown, including:
[0041] The collection module is used to collect the monitoring video of the broker receiving visitors;
[0042] The identification module is used to determine whether the broker and the visitor appear on the same screen according to the surveillance video: if the broker and the visitor do not appear on the same screen, it is determined that the visitor is a natural visiting customer; if the broker and the visitor appear on the same screen screen, send instructions to the sequence module for further judgment;
[0043] Sequence module, used to judge the order in which the agent and the visitor appear according to the surveillance video: if the visitor appears first and the agent appears later, it is determined that the visitor is a natural visitor; if the agent appears first, the visitor After appearing in, i...
Embodiment 2
[0056] The only difference from Example 1 is that
[0057] In S2, the identification module also judges whether there is a dialogue between the agent and the visitor in the same screen according to the surveillance video. Specifically, voice recognition software can be used to analyze the dialogue voice in the surveillance video, convert the voice into text, and then use semantic recognition to judge whether the agent and the visitor are communicating on a certain topic. If there is no dialogue between the broker and the visitor in the same screen, it is determined that the visitor is a natural visitor; if there is a dialogue between the broker and the visitor in the same screen, it is determined that the visitor is a channel customer.
[0058] In S2, the recognition module also extracts the dialogue voice from the surveillance video, and judges the ratio of the speaking duration of the visitor to the speaking duration of the agent and the size of the time threshold according ...
Embodiment 3
[0065] The only difference from Example 2 is that
[0066] Through image recognition and voice recognition, it can be judged whether the agent is in an idle state. Specifically, through face recognition technology to analyze whether there is a customer in the surveillance video with a broker, the customer can be a new customer or an old customer. If there is a customer in the picture of the broker, no matter whether the customer is a new customer or an old customer, it is judged that the broker is in a busy state.
[0067] If there is no client in the broker's screen, the server sends a signal to the broker's terminal, which is an IPAD tablet computer in this embodiment. After the IPAD receives the signal, it turns on the microphone to collect the dialogue voice related to the broker, and sends the collected dialogue voice to the server. After the server receives the dialogue voice, the recognition module converts the dialogue voice into text, and then judges whether the pro...
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