Caller ID Selection System for VoIP Call Answer Rates
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Solution Overview
Problem
Existing communication technologies lack efficient systems for automatically selecting and transmitting relevant caller ID information to increase the likelihood of call recipients answering calls, particularly in multi-party telephonic communications.
Innovation Solution
The implementation of a target management system using machine learning algorithms to select and encode caller ID information in real-time, integrated with computer technology for automatic selection and transmission across various communication devices, including voice-over-IP systems, to optimize caller ID display and call management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If caller ID information is manually selected and transmitted, then the system is simple to implement, but the likelihood of recipients answering calls is reduced due to irrelevant caller ID display
Solution Approach 1:
The system automatically selects and transmits relevant caller ID information without manual intervention. The caller ID selection module autonomously determines which caller ID to display based on call context, recipient information, and predefined criteria, eliminating the need for manual selection while ensuring relevance.
Solution Approach 2:
The system dynamically changes caller ID parameters (such as area code, number format, or displayed name) based on the recipient's location, call type, and other contextual factors. This allows the same calling system to adapt its caller ID presentation to match recipient expectations and increase answer rates.
2Reliability
If automated caller ID selection systems are implemented, then caller ID relevance is improved, but the device complexity increases
Solution Approach 1:
The automated caller ID selection system is divided into distinct functional modules: a caller ID selection module that determines which caller ID to use, a call management module that coordinates the calling process, and a database module that stores caller ID information. This segmentation reduces overall system complexity by making each component's function clear and manageable.
Solution Approach 2:
The caller ID selection module acts as an intermediary between the calling system and the recipient's device. It processes call context information, selects appropriate caller ID data from stored databases, and transmits the selected information to the recipient, simplifying the interaction between complex system components.
3Reliability
If real-time caller ID selection is implemented, then the likelihood of call answer is improved, but the processing time and system resources increase
Solution Approach 1:
Caller ID information is pre-organized and stored in databases with indexing structures that enable rapid retrieval. The system prepares caller ID options in advance based on available recipient information, so that when a call is initiated, the selection process can quickly determine the best match without extensive real-time processing.
Solution Approach 2:
The system replaces complex real-time analytical processing with pre-computed lookup operations. Instead of analyzing all possible caller ID options in real-time, the system uses predefined criteria and database queries to rapidly retrieve the appropriate caller ID, significantly reducing processing time while maintaining relevance.
Data Source
AI summary
Automatic determination of caller identification information and encoding of such information in outgoing data requests, such a API calls to a call management component, are disclosed herein. The caller identification information may be determined by analyzing information associated with a call target to determine if the target has a custom outbound telephone number assigned, was contacted through a specific campaign, has local geographic data, is being called from a specific entity, or is being made from a call originator with a specific outbound number set. The system may execute machine learning on previous calling data in order to update caller identification selection models used for other outgoing calls.