Telephone Number Aging Prediction via Profile Scoring
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Solution Overview
Problem
Current methods for rehabilitating telephone numbers out of service lack accuracy in determining when a number is sufficiently aged for return to active service, leading to potential customer dissatisfaction due to residual call volumes.
Innovation Solution
A system calculates a telephone number profile score based on historical data parameters, assigning a profile indicating how quickly the number will achieve quality thresholds, allowing for precise prediction of aging completion and inventory readiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed 45-day aging period is applied to all telephone numbers, then compliance with federal regulations is achieved, but accuracy in determining when a number is sufficiently aged is insufficient
Solution Approach 1:
The patent applies parameter changes by transitioning from a fixed time-based aging parameter (45 days) to a dynamic quality threshold parameter (residual call volume). The system calculates a profile score based on historical data and determines when residual call volumes fall below specific thresholds, allowing the aging determination to adapt to each number's unique characteristics while maintaining regulatory compliance.
Solution Approach 2:
The patent replaces the mechanical/time-based aging system with an information-based prediction system. Instead of relying solely on the passage of time, the system uses historical calling data, profile scores, and residual traffic analysis to predict when a number will be sufficiently aged, substituting computational analysis for fixed temporal constraints.
2Productivity
If telephone numbers are returned to active service after the minimum 45-day aging period, then availability of numbers for reuse is improved, but customer experience deteriorates due to residual inbound call volumes
Solution Approach 1:
The patent applies preliminary action by predicting the future residual call volume of telephone numbers before they are returned to service. The system calculates profile scores and forecasts residual traffic patterns, allowing carriers to proactively identify and allocate numbers that are predicted to have low residual volumes, preventing the harmful effect before it occurs.
Solution Approach 2:
The patent implements feedback by continuously monitoring actual residual call volumes and comparing them against predicted values. The system uses historical data from previously aged numbers to refine profile scores and improve prediction accuracy, creating a closed-loop system that learns from past performance to enhance future number allocation decisions.
3Measurement precision
If automated prediction techniques are implemented to accurately determine aging completion, then allocation of clean telephone numbers is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by breaking down the complex prediction task into distinct components: historical data collection, profile score calculation, residual volume forecasting, and quality threshold determination. Each component processes specific aspects of the aging prediction independently, making the overall system more manageable and maintainable while achieving high accuracy.
Data Source
AI summary
Techniques are described for managing out of service telephone numbers (TNs) before returning them to active service. A telephone number profile score may be calculated for an out of service TN entering an aging protocol, the aging protocol comprising a pre-determined number of days the TN must remain out of service. The out of service TN may then be assigned a profile based on its telephone number profile score, the profile indicative of how quickly the TN will achieve one or more quality thresholds. The number of days from entry into the aging protocol it will take the TN to achieve the one or more quality thresholds based on its assigned profile may be determined. The quality threshold status of the TN may then be updated each time it crosses one of the quality thresholds. Once it completes the aging process, the TN may be placed into an inventory of TNs eligible for active service. Thereafter, the quality threshold status of the TN may continue to be updated each time it crosses one of the quality thresholds.