Augmented Intelligence Call Routing via Psychographic Matching
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Solution Overview
Problem
Customers often experience poor interactions at call centers, leading to negative sentiment and potential loss of business for service providers, while service representatives face stress and emotional impact from abusive interactions, necessitating a system to improve matching between customers and representatives.
Innovation Solution
An augmented intelligence system that builds psychographic profiles for customers and representatives using call transcription data and CRM information, enabling real-time personalized routing based on compatibility and skill levels to optimize customer and representative experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If calls are routed using traditional methods (e.g., round-robin, first-available), then routing simplicity is maintained, but customer satisfaction and representative well-being deteriorate due to mismatched interactions
Solution Approach 1:
The system performs preliminary actions by building psychographic profiles for both customers and representatives before routing occurs. These profiles capture personality traits, communication styles, and interaction preferences in advance, enabling the routing system to make informed matching decisions without complex real-time analysis during call handling.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring interaction outcomes and using this data to refine profile matching algorithms. Customer satisfaction metrics and representative well-being indicators feed back into the system to improve future routing decisions, creating a self-optimizing matching process.
2Reliability
If profile-based matching is implemented, then interaction quality improves, but system complexity and data processing requirements increase
Solution Approach 1:
The system introduces an intermediary matching layer between the customer call intake and representative assignment. This intermediary component analyzes psychographic profiles and determines compatibility scores, acting as a mediator that translates raw profile data into routing decisions without requiring the core telephony system to become complex.
Solution Approach 2:
The system changes parameters by transforming qualitative psychographic data into quantitative compatibility scores. By converting personality traits and communication styles into measurable matching metrics, the system enables algorithmic routing decisions while maintaining manageable complexity through standardized parameter comparison.
3Object-affected harmful factors
If psychographic profiling is used for routing, then representative stress and customer sentiment improve, but data collection and processing requirements worsen
Solution Approach 1:
The system extracts only the most relevant psychographic features from extensive customer and representative data, focusing on key personality traits and interaction patterns that directly impact compatibility. By selecting and extracting only essential profile elements, the system reduces data volume while maintaining matching effectiveness.
Solution Approach 2:
The system performs preliminary data processing by building and storing psychographic profiles in advance of routing decisions. This preliminary action consolidates extensive interaction history into compact profile representations, reducing the data volume that must be processed during actual routing while preserving the information needed for effective matching.
Data Source
AI summary
A system and method for routing a call from a customer to a customer service representative at a call center is described. The method being performed by an augmented intelligence system. The method includes receiving an incoming call from a customer at the call center. The method also includes determining a match between a classification of the customer and a classification of a selected customer service representative based on a profile of the customer and a profile of the selected customer service representative. The method further includes routing the incoming call from the customer to the selected customer service representative.