Voice Trait Matching for Call Agent Assignment
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Solution Overview
Problem
Current call centers fail to utilize voice characteristics to enhance efficiency and customer satisfaction, as they do not effectively analyze and match agents with callers based on traits such as language proficiency, emotional intelligence, and personality, leading to delayed service and frustrated customers.
Innovation Solution
A computer-implemented system that analyzes voice samples to identify user traits through linguistic and paralinguistic analysis, using these traits to match agents with callers, confirm identities, and provide coaching to improve call quality and customer interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If call centers use traditional caller ID information only for identification, then the system complexity remains low, but the effectiveness of agent-caller matching and customer satisfaction remain limited
Solution Approach 1:
The system performs preliminary voice analysis on callers during initial contact to extract traits such as language proficiency, emotional intelligence, and personality characteristics. This advance analysis enables more effective agent-caller matching throughout the interaction, improving service quality without adding complex real-time processing requirements during critical service moments
Solution Approach 2:
The patent introduces voice trait analysis as an intermediary layer between the caller and agent. This intermediary system processes voice characteristics and provides matching recommendations, acting as a mediator that enhances connection effectiveness without requiring direct complex interactions between the caller and agent systems
2Reliability
If call centers analyze voice characteristics in real-time, then the quality of agent-caller matching improves, but the call processing time increases
Solution Approach 1:
Voice characteristic analysis is performed preliminarily during initial call contact rather than throughout the entire interaction. This allows the system to extract and analyze voice traits early in the call, enabling effective agent-caller matching without extending the overall call duration
Solution Approach 2:
The system rapidly processes voice characteristics during brief initial assessment periods, skipping detailed analysis until necessary. This allows the call center to quickly identify key voice traits and complete matching without significant time loss, then focus on service delivery
3Reliability
If call centers implement comprehensive voice analysis, then customer satisfaction increases, but the implementation cost and system complexity increase
Solution Approach 1:
The system extracts only the most relevant voice characteristics from comprehensive voice analysis, such as language proficiency, emotional intelligence, and personality traits. This selective extraction approach maintains customer satisfaction benefits while reducing system complexity by focusing on key actionable insights rather than analyzing all possible voice parameters
Solution Approach 2:
The patent applies voice analysis with different levels of depth to different callers based on their specific needs and call types. This localized approach ensures high-quality analysis where it matters most while reducing overall system complexity by not uniformly applying maximum analysis to all interactions
Data Source
AI summary
A computer-implemented system and method for assigning call agents to callers is provided. A call from a caller is received into a call center. A voice sample is obtained from the caller during the call and analyzed. Traits of the caller are identified from the analyzed voice sample. A determination that at least one of the identified traits includes characteristics of multiple populations for that trait is made. The identified trait is defined as a percentage of each population included in that trait. The caller traits are compared to traits associated with each active agent within the call center. The agent with the traits most similar to the caller traits is assigned to the caller.