Automated Enterprise Number Verification via Return Call Signaling
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Solution Overview
Problem
Existing methods for verifying ownership of branded calling 'A' numbers are inefficient, costly, and prone to fraud, particularly due to the need for manual verification and the risk of number spoofing.
Innovation Solution
A method involving the selection of an enterprise number to verify from a database, initiating an outbound call from a known origination number, receiving a return call within a defined time interval, and updating the enterprise number status as verified if the return call is received within that interval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual dialing verification is used, then verification accuracy is improved, but verification time and cost increase
Solution Approach 1:
The system enables automated self-verification by initiating outbound calls from known enterprise numbers and automatically detecting return calls. The verification process executes without human intervention, with the system automatically selecting numbers, placing calls, receiving responses, and updating verification status within defined time intervals.
Solution Approach 2:
The patent replaces the manual mechanical dialing process with an automated electronic system. The calling platform automatically dials enterprise numbers and detects return calls using electronic signaling and database management, eliminating the need for manual telephone dialing while maintaining verification accuracy.
2Productivity
If automated verification is implemented, then verification efficiency is improved, but system complexity increases
Solution Approach 1:
The calling platform performs multiple functions: it maintains databases of enterprise numbers, initiates outbound verification calls, receives and processes return calls, monitors time intervals, and updates verification status. This multi-functional approach consolidates what could be separate complex systems into a single integrated platform.
Solution Approach 2:
The system implements feedback mechanisms by monitoring whether return calls are received within defined time intervals. Based on this feedback, the system automatically updates verification status and can re-verify numbers that fall outside the time window, creating a self-regulating verification process.
3Reliability
If continuous verification is performed, then fraud prevention is improved, but operational cost increases
Solution Approach 1:
The system performs verification periodically based on defined time intervals rather than continuously. Numbers are re-verified only when their verification expires based on the time window, reducing unnecessary operational costs while maintaining adequate fraud prevention through regular periodic checks.
Data Source
AI summary
An example may include verifying a call number to be used by an enterprise entity by selecting an enterprise number to verify from a database of one or more enterprise numbers assigned to a particular enterprise entity, initiating an outbound call destined to the enterprise number from an origination number known to an enterprise platform, receiving a return call to the origination number from the enterprise number, determining whether the return call was received within a defined time interval, and updating the enterprise number status in memory as a verified enterprise number when the return call was received within the defined time interval.