Intelligent number allocation method, device and equipment for network site and storage medium

Abstract

The invention discloses an intelligent number allocation method and device for a website, equipment and a storage medium. The method comprises the following steps: acquiring historical number allocation data of the website in a preset time period; inputting the historical number allocation data into at least two different machine learning models for training, and obtaining daily visiting amount prediction data based on training results of the at least two different machine learning models; obtaining a time-sharing access amount proportion and a service type proportion based on the historical number allocation data, and constructing a probability distribution function according to the time-sharing access amount proportion and the service type proportion; and obtaining network number allocation strategies of different time periods and different service types from the probability distribution function based on a random variable distribution algorithm. The invention aims to solve the problems that the waiting time of customers in busy hours is prolonged and the customer experience degree is reduced because the existing network does not consider the overall busy and idle states of the network and the average value method is adopted for number allocation in each time period.

Description

technical field [0001] The present application relates to the field of network number distribution, and in particular to a network point intelligent number distribution method, device, equipment and storage medium. Background technique [0002] With the development of Internet finance, changes in customer behavior and consumption habits have brought new challenges to traditional outlets of commercial banks. Facing the changing industry and market environment, banks need continuous innovation to meet higher requirements and more severe challenges, especially in: business innovation and service innovation. Among them, improving user experience has always been a concern of outlets. [0003] At present, a large number of passive, standardized, and information-based businesses have been transferred online. However, due to the limitation of business types, some complex retail business and corporate business still need to be handled offline. In terms of reservation and allocation...

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present application provides a method, device, equipment and storage medium for intelligently allocating numbers at outlets. Customers wait longer during busy hours, reducing customer experience, and the relationship between the number of allocated numbers and the actual number of customer visits is not clear. The number of online appointments allocated at outlets is mainly estimated based on the experience of the supervisor, without theoretical data support

Images