Call Center Knowledge Management System for Rapid Problem Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Call centers face challenges in efficiently resolving customer communication problems due to the high volume of calls and the need for rapid access to relevant information about customer accounts, communication equipment, and network operations.
Innovation Solution
A computer-based system that automatically retrieves and prioritizes information items based on the calling number, communication equipment, service plan, and network operations, presenting them to call agents in a format that aids in quick problem resolution, using a knowledge management system and voice recognition technology to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If call centers manually retrieve and organize information about customer accounts, communication equipment, and network operations, then agents can access relevant information, but the process is time-consuming and reduces productivity
Solution Approach 1:
The system pre-retrieves and stores information about customer accounts, communication equipment, and network operations in a database before calls occur. When a call is received, the system automatically queries the database using the calling number to retrieve relevant information, eliminating the need for agents to manually search for this data during the call.
Solution Approach 2:
The system introduces an automated information retrieval intermediary that acts as a bridge between the call center and multiple data sources (customer account databases, equipment information systems, network operations data). This intermediary automatically queries and aggregates information from these sources, presenting it to agents without requiring manual intervention.
2Loss of information
If the system presents all available information to call agents, then agents have comprehensive data for problem resolution, but the information overload makes it difficult to identify relevant items quickly
Solution Approach 1:
The system segments the retrieved information into distinct categories (customer account information, communication equipment details, network operations status) and further divides it into relevant and irrelevant items based on the reported problem. This segmentation allows agents to quickly locate specific information types without being overwhelmed by unrelated data.
Solution Approach 2:
The system applies different levels of detail and prioritization to different information items based on their relevance to the specific problem being reported. Critical information related to the diagnosed issue is highlighted or placed prominently, while less relevant information is de-emphasized or hidden, allowing agents to focus on what matters most for each situation.
3Reliability
If call agents manually enter and search for problem information in knowledge management systems, then resolutions can be found, but the process is slow and increases handling time
Solution Approach 1:
The system performs automatic diagnosis and information retrieval without requiring manual agent intervention. The system uses the calling number to automatically query customer accounts, retrieve equipment information, check network operations status, and identify relevant problem resolutions from the knowledge management system, presenting the results to the agent ready for implementation.
Solution Approach 2:
The system implements an automated feedback loop where the reported problem is immediately processed through the knowledge management system, and the results are fed back to the agent in real-time. This feedback mechanism provides agents with actionable information and resolution steps without requiring them to manually search or wait for separate system responses.
Data Source
AI summary
A call center problem resolution system is provided. The system comprises, a computer system comprising at least one processor and a memory, a data store coupled to the computer, and an application stored in the memory. When executed by the processor, the application receives call information comprising a calling number, and it retrieves communication equipment information based on the calling number, communication service plan information based on the calling number, and communication network operations information based on the communication service plan information. When executed, the application further receives words describing a problem experienced by communication equipment associated with the calling number. Based on the plurality of words describing the problem, the communication network operations information, the communication service plan information, and the communication equipment information, the application identifies a plurality of information items, and presents the plurality of information items in a prioritized order to a call agent.