Call Distribution via Centralized Queue and SIP
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Solution Overview
Problem
Call centers face inefficiencies in managing customer service agent allocation due to unpredictable call volumes, outdated real-time information, and limitations in routing algorithms, leading to variable service levels and increased attrition among agents.
Innovation Solution
A system that utilizes centralized call queue management and open Session Initiation Protocol (SIP) standards to distribute calls across multiple agent nodes, allowing for real-time allocation and routing based on agent availability and call type, enabling flexible integration with various phone systems and supporting remote work scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If call centers use decentralized routing decisions based on local queue length estimates, then each call center can independently manage its calls, but service levels become inconsistent across the network and calls may not be redirected to call centers with available agents
Solution Approach 1:
The patent combines decentralized call center operations with a centralized real-time information exchange mechanism. Call centers maintain operational independence while sharing queue length and agent availability data through a networked system, enabling coordinated routing decisions that ensure consistent service levels across the entire network.
Solution Approach 2:
The system implements real-time feedback loops where call centers continuously report queue length and agent status to the network system, which then provides routing recommendations. This feedback mechanism enables dynamic adjustment of call routing to maintain service level consistency while preserving call center autonomy.
2Measurement precision
If call centers rely on real-time information for routing decisions, then routing accuracy improves, but system complexity increases due to the need for continuous information exchange and coordination
Solution Approach 1:
The patent implements a universal information exchange protocol that serves multiple functions: queue length reporting, agent availability status, routing recommendations, and service level monitoring. This multi-functional system reduces overall complexity by consolidating multiple communication channels into a single standardized interface.
3Reliability
If call centers use heuristics to handle call bursts and platform problems, then some resilience is achieved, but system complexity increases and heuristics may break down in certain cases
Solution Approach 1:
The system enables call centers to automatically detect and respond to call bursts and platform issues using real-time data from the network system. Call centers monitor their own queue lengths and agent availability, making autonomous routing decisions without relying on complex external heuristics, thereby reducing system complexity while maintaining resilience.
4Speed
If call centers have limited visibility into transfer success and duration, then routing speed is maintained, but call bursts may occur due to slow or failed transfers
Solution Approach 1:
The system performs preliminary routing decisions based on real-time queue length and agent availability data before actual call transfer occurs. This preliminary action allows call centers to prepare routing paths in advance, reducing transfer time and enabling faster response to call bursts while maintaining reliable monitoring of transfer outcomes.
Data Source
AI summary
Aspects of systems and methods for maintaining and operating agent nodes are provided. In some embodiments, calls, contacts, and other work units may be routed to individual customer service agents via a centralized queue based on a variety of factors. Some embodiments may provide market-based call pricing and customer service agent compensation.