Machine Learning Telephone Number Analysis for Roaming Calls
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Solution Overview
Problem
Users face difficulties making international telephone calls while roaming due to incorrect number recognition and varying international call formats, leading to inconvenience and high charges, as existing solutions are limited to specific carriers and devices, and require manual number format changes.
Innovation Solution
A country-specific telephone number system analysis system using machine learning to identify the country and select the appropriate international call service provider, automatically adding necessary dial codes and displaying call charges, ensuring seamless international calls across different carriers and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a user stores a domestic telephone number in their address book and attempts to make an international call while roaming, then the call cannot be connected because the number is recognized as wrong, but manually changing the number format to include international dialing codes is inconvenient and requires user knowledge of different country-specific formats
Solution Approach 1:
The system automatically detects whether the stored telephone number is domestic or international based on the current location and the number format, then automatically adds the appropriate international dialing prefix. This self-service mechanism eliminates the need for users to manually modify contact information or understand complex international dialing rules, resolving the contradiction between call reliability and operational ease
Solution Approach 2:
The system performs preliminary analysis of the telephone number format and current location before the call is initiated. By pre-determining whether international dialing is needed and automatically adding the correct prefix, the system prepares the call in advance, ensuring reliable connection without requiring user intervention during the calling process
2Reliability
If users manually change telephone number formats in their address book to accommodate different countries, then calls can be made to those specific countries, but users cannot easily select among multiple international call service providers with different rate structures and incur high charges
Solution Approach 1:
The system introduces an intermediary service that analyzes the target country and presents multiple available international call service providers with their respective rate structures. This intermediary layer allows users to compare and select the most cost-effective provider without manually managing number formats, preserving service provider information and enabling informed selection while maintaining call reliability
Solution Approach 2:
The system segments the international calling process into distinct steps: number format analysis, country identification, service provider selection, and call execution. This segmentation allows the system to handle each aspect independently, providing users with service provider options at the appropriate stage without compromising the overall call connection reliability
3Reliability
If existing international roaming functions are provided by specific telecommunications carriers, then calls can be made through those carriers, but the functions are limited to specific terminals and carriers and cannot be used by all users
Solution Approach 1:
The system implements a universal telephone number analysis and conversion mechanism that operates independently of specific telecommunications carriers or terminal types. By analyzing the target number format and automatically adding appropriate international prefixes based on current location, the system provides carrier-agnostic international calling capability that works across different devices and networks, greatly enhancing adaptability while maintaining call reliability
Data Source
AI summary
Provided is a country-specific telephone number system analysis system. The system includes a telephone number system analysis logic server; a number analysis machine learning system; a country-specific international call service provider information database; a country-specific telephone number system information database; and a telephone call connection logic database. The telephone number system analysis logic server receives a target telephone number of a telephone call from a user terminal, and checks whether the target telephone number conforms to an international telephone number system protocol. When it is determined that the target telephone number does not conform to the international telephone number system protocol, the number analysis machine learning system identifies a country corresponding to the target telephone number by accessing the country-specific telephone number system information database. When the country and an international call service provider are identified by the number analysis machine learning system, the target telephone number is dialed after adding a dial code of the international call service provider and a country code as prefixes before the target telephone number, based on the telephone call connection logic database.