Outbound robot distribution method
A distribution method and robot technology, applied in the field of communication, can solve the problems of only applicable sequence integrity model, increased labor cost, and unsuitable model for medium and long-term prediction, so as to reduce human monitoring and control, avoid excessive dependence on experience, reduce The effect of applying limitations
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[0046]The invention relates to a method for allocating outbound robots. The method combines principal component analysis + multiple regression analysis + time series and BP neural network weighting, and brings deep machine learning algorithms into robot allocation management, greatly reducing the cost of a single model. Due to application limitations, autonomous machine learning using neural networks can avoid excessive reliance on experience, liberate manpower and reduce unnecessary human monitoring and control.
[0047] Such as figure 1 As shown, the outbound robot distribution method of the present invention specifically includes the following steps:
[0048] Step 1: Make a phone call.
[0049] Incoming calls from customers are selected into different inbound skill groups through the routing module.
[0050] Step 2, robot call distribution.
[0051] After entering the call-in skill group, the actual production data is generated, such as the working hours of the robot, th...
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