Predictive Dialer Optimizing Agent Utilization
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Solution Overview
Problem
Current telecommunications systems often lead to user abandonment when multiple users are invited for live interactions, such as chats or callbacks, while only one agent is available, resulting in inefficiencies and increased wait times.
Innovation Solution
A predictive system that analyzes agent history and availability to optimize the number of invitations extended to users, ensuring that only a number of invitations equal to the available agents are made, using a predictive dialer and agent status changes to adjust offers dynamically based on acceptance rates and agent skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple users are invited for live interactions while only one agent is available, then more users can be served, but user abandonment increases and service quality deteriorates
Solution Approach 1:
The system performs preliminary actions by predicting future agent availability and pre-calculating optimal invitation numbers before users are invited. The predictive dialer analyzes agent history, current status, and acceptance rates to determine how many invitations can be extended without causing abandonment, ensuring service quality is maintained while maximizing productivity
2Productivity
If the number of invitations is increased to serve more users, then productivity improves, but agent overload occurs and service level deteriorates
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring agent acceptance rates, current workload, and historical performance data. The predictive dialer uses this feedback to dynamically adjust the number of invitations extended, ensuring that agents are not overloaded while maximizing the number of users served. The system learns from past interactions to optimize future invitation strategies
3Reliability
If real-time prediction and dynamic adjustment of invitations is implemented, then service quality improves, but system complexity increases
Solution Approach 1:
The predictive dialer system performs self-service by automatically analyzing agent availability, predicting future states, and determining optimal invitation numbers without requiring manual intervention. The system uses pre-configured algorithms that continuously process agent data and dynamically adjust invitation strategies, maintaining high service quality while automating the complexity management
Data Source
AI summary
A system and method are presented for predictive live interaction offering and hosting. A mechanism may be provided for controlling outstanding offerings, or invitations, of communications with users through points of service. Offerings may include a live chat or a telephone callback request. In one embodiment, offerings may be optimized by analyzing factors such as agent history to predict when and how many agents will be available. Calculations may be continuously performed as invitations are accepted, declined, timed out, etc., to make certain more offers than can be handled are not extended.