Call Subject Selection Using Talk Probability and Outcome Forecasts
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Solution Overview
Problem
Existing call subject determination systems fail to consider the probability of successful phone talks and the potential advantageous outcomes when scheduling calls, leading to inefficiencies and missed opportunities for gaining significant benefits from interactions with call subjects.
Innovation Solution
A call subject determination system that predicts the probability of successful phone talks and the potential advantageous outcomes for each candidate, while considering the capacity constraints of talkers, to optimize the selection of call subjects for maximum benefit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If call subjects are determined based only on contact history and call success rate, then the rate of successful calls is improved, but the advantageous results gained from call subjects are not maximized
Solution Approach 1:
The patent introduces a new parameter dimension by predicting not only the probability of successful phone talks but also the advantageous results to be gained from each call candidate. This transforms the call subject determination from a single-criterion selection (call success rate) to a multi-parameter optimization problem that simultaneously considers talk probability and expected advantageous results, thereby resolving the contradiction between call success rate and overall beneficial outcomes
2Reliability
If the number of calls is increased to maximize advantageous results, then the advantageous results are improved, but the talker constraint (capacity of talkers) is violated
Solution Approach 1:
The patent performs preliminary prediction of both talk probability and advantageous results for each call candidate before actual call scheduling. By pre-calculating these parameters and using them to determine the optimal set of call subjects, the system ensures that the selected candidates will maximize advantageous results while staying within talker capacity constraints, thus resolving the contradiction between maximizing results and satisfying operational constraints
3Ease of operation
If call subjects are selected without considering talk probability, then the selection process is simplified, but the efficiency of communication efforts is reduced
Solution Approach 1:
The system automatically performs the complex task of predicting talk probability and advantageous results for each call candidate, and autonomously determines the optimal call subjects based on these predictions. This self-service approach handles the computational complexity internally while presenting a simplified output (optimized call subject list) to users, thereby maintaining ease of operation while significantly improving communication efficiency through data-driven selection
Data Source
AI summary
Provided is a call subject determination system including at least one processor configured to: predict, for each of a plurality of call candidates, a talk probability, which is a probability of succeeding in holding a phone talk with the call candidate; predict, for each of the plurality of call candidates, an advantageous result to be gained from the phone talk with the call candidate; acquire a talker constraint, which is a constraint in terms of capacity of a talker; and determine, from among the plurality of call candidates, a plurality of call subjects to whom phone calls are to be made so that the talker constraint is satisfied and great advantageous results are gained from the plurality of call subjects on the whole, based on the talk probability and the advantageous result of the each of the plurality of call candidates.