Massive personalized voice call intelligent scheduling system and scheduling method

Abstract

The invention relates to an intelligent dispatching system and a dispatching method for mass individual voice calls. The system comprises a user interaction layer, a service fulfillment layer and a base protocol layer, wherein the user interaction layer is used for collecting user data and configuring base data, the service fulfillment layer is used for selecting execution paths and applying an exception handling strategy and a failure retry mechanism, and the base protocol layer is used for implementing SS7 signaling, generating and analyzing DTMF (dual-tone multi-frequency) signaling, analyzing and operating terminal state return codes, adjusting parameter paths in running and making and adjusting the exception handling strategy. State values collected in the production process can be combined with characteristic threshold values inputted by a user, so that numbers with excellent states can be found and executed in priority in a large data volume task environment, execution priority and the number of calls of the numbers with low states can be decreased, and large data volume tasks are intelligently dispatched.

Description

technical field [0001] The invention relates to an intelligent dispatching system and a dispatching method for mass personalized voice calls, and belongs to the technical field of outbound calls in voice communication. Background technique [0002] At present, the wireless and wired public switched telephone network adopts the SS7 digital signaling system. The SS7 signaling system, also known as public channel signaling, is the most widely used signaling on the public switched telephone network (PSTN) in China. In this way, it can realize local, long-distance and international automatic and semi-automatic telephone connection between fixed telephone network or ISDN network office, and return detailed result status information. [0003] However, with the rapid development of my country's service industry, the demand for interaction with customer notifications continues to increase, and due to the constraints of various factors such as increased wage costs, high work intensity...

AI Technical Summary

Problems solved by technology

However, due to the limited trunk channel resources that this technology currently relies on, when an enterprise submits a customer notification service with a large amount of data, the outbound call data cannot be delivered within the specified time due to insufficient allocation of limited channel resources. completed, resulting in a delay in the notification period, thus affecting some businesses of the enterprise

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