Contact Center Routing Based on Real-Time Agent Fatigue Detection

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Solution Overview

Problem

Contact centers face challenges in managing agent fatigue due to unforeseen surges in contact volume, leading to decreased productivity, increased turnover, and negative user experiences, as manual monitoring is imprecise and organizations are slow to adapt resources.

Innovation Solution

Implementing AI/ML-powered systems to monitor agent interactions, assess fatigue levels, and dynamically route communications using autonomous bots to balance agent workload, ensuring effective assistance and scalability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual monitoring of agent fatigue is used, then implementation complexity is low, but measurement precision of agent state is poor and response time is slow

Engineering Contradiction:

Improveagent state detection accuracyVSAvoidmonitoring system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual monitoring mechanisms with automated AI/ML-based systems that analyze communication content, tone, and patterns to detect agent fatigue states. This substitution enables precise, real-time measurement of agent state without the limitations of human observation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces autonomous bots as intermediaries that communicate with agents and analyze communication data to assess fatigue levels. These bots serve as mediators between the monitoring system and agents, enabling indirect but accurate measurement of agent state through communication analysis.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If contact volume surges are not managed, then resource allocation remains static, but agent fatigue increases and productivity decreases

Engineering Contradiction:

Improveagent productivityVSAvoidresource adaptability to contact volume

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system implements dynamic resource allocation that automatically adjusts agent workload based on real-time fatigue detection and contact volume analysis. This enables the contact center to adapt resources flexibly to surges while maintaining agent productivity through automated workload management.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system establishes continuous feedback loops where agent state is monitored in real-time, and this information feeds back into automated routing decisions. This feedback mechanism enables the system to adapt resource allocation dynamically, preventing agent fatigue before it occurs.

Inventive Principle:

Principle #23Feedback

3Reliability

If agents are continuously engaged without breaks, then service coverage is maximized, but agent fatigue accelerates and quality of assistance deteriorates

Engineering Contradiction:

Improvequality of agent assistanceVSAvoidagent continuous engagement duration

Core Design Contradiction:

ReliabilityVSDuration of action of moving object

Solution Approach 1:

The system performs preliminary actions by detecting early signs of agent fatigue through communication analysis and proactively implementing workload adjustments before fatigue significantly impacts quality. This preventive approach maintains assistance quality by addressing fatigue issues before they deteriorate.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies preliminary anti-action by counteracting the effects of continuous engagement through automated workload management. When fatigue indicators are detected, the system automatically reduces workload or redistributes tasks, preventing the negative cumulative effects of uninterrupted agent engagement.

Inventive Principle:

Principle #9Preliminary anti-action

4Quantity of substance

If more agents are hired to handle surges, then contact volume capacity increases, but operational cost increases and training resources are consumed

Engineering Contradiction:

Improveagent availabilityVSAvoidoperational cost

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The system enables self-service through autonomous bots that can independently handle routine communications and provide initial assistance. This reduces the need for additional human agents during surges, maintaining service capacity without incurring the costs of hiring and training new staff.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20260006130A1Systems and methods for automated contact center management based on analysis of agent state

Publication Date: 2026.01.01 RINGCENTRAL INC

AI summary

A contact center controller is provided to automatically manage a large volume of audio and/or video electronic communications in a contact center. The controller routes electronic communications to available agents, and monitors the interactions between the agents and users participating in the electronic communications. The controller determines a state associated with each agent based on the interactions the agent has with one or more users in the same electronic communication, and routes new electronic communications away from a first agent in response to determining a first state for the first agent that indicates a specific level of fatigue. The controller performs different actions for different agents and/or electronic communications based on different or changing levels of fatigue associated with the agents.