Automated Rate Plan Assignment System for Communication Devices
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Solution Overview
Problem
Current communication rate plans are often inaccurately determined, leading to overages and increased costs for users, especially for multiple devices across different networks, due to the difficulty in tracking usage patterns and the lack of adaptive rate planning solutions.
Innovation Solution
A method and system for assigning devices to optimal communication rate plans based on usage profiles and available rate plans, utilizing a processor and database to identify, compare, and assign devices to the most cost-effective plan, which can be updated automatically or manually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual rate plan selection is used, then users can choose from available plans, but users cannot accurately determine the optimal plan leading to overages and increased costs
Solution Approach 1:
The system automatically performs rate plan optimization without requiring manual user intervention. The processor analyzes usage patterns, compares available rate plans, and autonomously determines the optimal plan assignment, allowing the system to serve itself rather than relying on manual user selection.
Solution Approach 2:
The system continuously monitors device usage patterns and feeds this information back into the rate plan optimization process. By comparing actual usage data against available rate plans, the system dynamically adjusts and recommends optimal plans, creating a closed-loop feedback mechanism that improves accuracy over time.
2Productivity
If automated rate plan assignment is implemented, then optimal cost-effective plans can be determined, but system complexity increases due to usage pattern tracking and analysis requirements
Solution Approach 1:
The system is designed to handle multiple devices, networks, and rate plans through a single unified processor and database architecture. This multi-functional approach allows the same core components to serve various devices across different networks, reducing overall system complexity while maintaining high productivity.
Solution Approach 2:
The processor acts as an intermediary between usage data collection and rate plan recommendation. It mediates the complex analysis by receiving raw usage data, processing it through algorithms, and outputting simplified optimal plan assignments, thereby managing system complexity while maintaining efficiency.
3Adaptability or versatility
If usage patterns are tracked across multiple networks, then comprehensive optimization is possible, but tracking difficulty increases due to different network identifiers and protocols
Solution Approach 1:
The system segments usage data by device, network, and rate plan components, allowing it to track and analyze usage patterns across multiple networks independently. By dividing the complex tracking task into manageable segments, the system can handle different network identifiers and protocols without overwhelming complexity.
Solution Approach 2:
The system adds dimensional organization to usage data by structuring it across multiple axes (device ID, network ID, rate plan parameters). This multi-dimensional data structure enables comprehensive multi-network tracking while simplifying the detection and measurement processes through systematic categorization.
Data Source
AI summary
The present invention relates generally to a process for determining optimized communication rate plans for one or more communications devices across one or more communications networks. The present invention provides for assigning one or more devices operative on a communications network with one or more rate plans to an optimal rate plan. The present invention, in one or more embodiments provides of the one or more communication devices with a cost-effective rate plan solution based on usage profile of the one or more devices and available cost-savings programs available to the one or more devices.