Customer Service Matching System Using Profile-Based Representative Selection
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Solution Overview
Problem
Current customer service systems are inefficient and time-consuming, as customers are often routed to representatives without experience in resolving their specific issues, leading to frustration and increased interaction time.
Innovation Solution
A system that profiles customers based on their information and issue-related data to match them with representatives experienced in similar issues, reducing the number of questions and interactions by selecting the most qualified representative in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If customers are routed to a pool of representatives using traditional call routing systems, then representatives can be made available to handle customer calls, but the representatives lack experience in resolving the specific issues customers are having, leading to increased interaction time and customer frustration
Solution Approach 1:
The system performs preliminary actions by creating a customer profile and determining the likely issue before the customer is connected to a representative. This allows the matching process to identify and connect the customer with an appropriately qualified representative in advance, eliminating the need for multiple transfers and reducing overall interaction time.
Solution Approach 2:
The patent replaces the traditional mechanical call routing system with an intelligent matching system that uses customer profiles, issue analysis, and representative qualification data to automatically connect customers with the most suitable representatives. This substitution enables more precise and efficient matching beyond simple availability-based routing.
2Adaptability or versatility
If representatives handle multiple types of issues without specialized training, then they can be more versatile and handle a wider range of customer inquiries, but they lack the specific experience needed to efficiently resolve complex or specialized issues
Solution Approach 1:
The system applies local quality by matching representatives to specific issues based on their demonstrated expertise and experience with similar problems. Rather than requiring all representatives to be generalists, the system ensures that each customer is connected with a representative who has proven capability in handling their specific type of issue, thereby maintaining high resolution quality for specialized problems.
Solution Approach 2:
The patent changes the parameter of representative selection from general availability to specific issue-based qualification. By analyzing customer profiles and comparing them with representative performance data on similar issues, the system dynamically adjusts the matching criteria to prioritize representatives with relevant experience, thereby improving resolution quality for specialized issues.
3Measurement precision
If the system asks comprehensive questions to accurately determine customer issues, then it can better match customers with qualified representatives, but the questioning process becomes more time-consuming and complex
Solution Approach 1:
The system applies partial action by asking only the necessary questions to determine the likely issue and create an effective customer profile for matching. Rather than comprehensively questioning customers on all possible issues, the system asks targeted questions that provide sufficient information for accurate representative matching, thereby reducing time investment while maintaining matching precision.
Solution Approach 2:
The system performs preliminary analysis of customer information and interactions with the graphical user interface to determine the likely issue before connecting to a representative. This preliminary determination allows the system to prepare an accurate customer profile in advance, enabling precise matching without requiring extensive questioning during the live interaction.
4Ease of operation
If customers speak with multiple representatives until their issue is resolved, then they can receive comprehensive assistance, but the process becomes frustrating and time-consuming
Solution Approach 1:
The system performs preliminary matching of customers with representatives based on customer profiles, issue analysis, and representative qualifications before the customer begins their service interaction. This advance preparation ensures that customers are connected with the most qualified representative from the start, eliminating the need for multiple transfers and reducing the number of interactions required to resolve issues.
Solution Approach 2:
The system uses feedback from customer interactions, issue resolutions, and representative performance data to continuously improve the matching algorithm. By analyzing outcomes from previous matchings, the system learns and refines its ability to connect customers with the right representatives, thereby improving customer experience and reducing the number of interactions needed over time.
Data Source
AI summary
Matching a customer with a representative is performed for assisting the customer with an issue. Information related to the customer, the issue, historical information, and other customer information may be used to determine a likely issue. A representative may be selected in real-time to assist the customer in resolving the issue based on the customers experience in resolve the same or similar issues to the likely issue and the information related to the customer and the representative may be updated dynamically in real-time.