Service Plan Design and Device Management APIs
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Solution Overview
Problem
The increasing data usage capabilities of mobile devices have led to high costs for users due to limited data plans and potential overages, prompting a need for customizable and flexible service plans, as well as improved methods for discovering and managing mobile applications and services.
Innovation Solution
The development of methods and systems that allow users to create and manage device groups, share and customize service plans, and monitor devices without service provider involvement, using APIs for service plan design, management, and user interface customization, facilitating the promotion of data services and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If users subscribe to service plans with limited data allowance, then users can control their data usage costs, but users may exceed their data plan allowance without realizing it leading to expensive overages
Solution Approach 1:
The system continuously monitors data usage and provides real-time feedback to users through notifications and alerts. When users approach their data plan limits, the system sends warnings and notifications to raise awareness, allowing users to take corrective action before incurring expensive overages. This feedback mechanism resolves the contradiction by maintaining cost control while improving data usage awareness.
Solution Approach 2:
The system proactively notifies users before they exceed their data plan allowance by monitoring usage in real-time and sending advance warnings. This preliminary action allows users to adjust their behavior or purchase additional data before costly overages occur, resolving the contradiction between cost control and awareness.
2Loss of energy
If network operators eliminate or increase prices of unlimited data service plans, then network operators can manage bandwidth capabilities and increase revenues, but users face declining data service adoption
Solution Approach 1:
The system segments data services into different categories and allows users to purchase specific data packages for different purposes (e.g., general data, video streaming, social media). This segmentation enables network operators to manage bandwidth effectively while allowing users to adopt data services according to their specific needs, resolving the contradiction between bandwidth management and service adoption.
Solution Approach 2:
The system provides dynamic service plans that allow users to adjust their data allowances and pricing structures in real-time based on their usage patterns and needs. This flexibility enables network operators to optimize bandwidth utilization while maintaining high data service adoption rates, as users can choose plans that match their actual consumption.
3Adaptability or versatility
If application developers have no control over application discovery in app stores, then app stores can maintain neutrality and provide diverse applications, but application developers have little control over whether subscribers see their applications
Solution Approach 1:
The system introduces an intermediary recommendation engine that analyzes user behavior, preferences, and usage patterns to match users with relevant applications. This intermediary maintains app store neutrality by not favoring specific developers while providing developers with control over application discovery through targeted recommendations, resolving the contradiction between neutrality and discovery control.
Solution Approach 2:
The system changes the parameters of application discovery by moving from random or alphabetical listing to algorithm-based recommendations that consider user behavior, app performance metrics, and contextual factors. This allows developers to influence discovery through optimization of these parameters while maintaining app store neutrality through transparent and fair algorithms.
4Device complexity
If subscribers visit app stores using traditional search or browsing methods, then app stores can maintain simple interfaces, but subscriber visits are hit and miss unless they know the application name or type in effective search words
Solution Approach 1:
The system implements feedback loops that learn from user search behavior, browsing patterns, and application usage to continuously improve recommendation accuracy. This feedback mechanism maintains simple app store interfaces while dramatically improving application discovery efficiency by presenting relevant applications proactively based on user behavior analysis.
Solution Approach 2:
The system performs preliminary analysis of user behavior and preferences to pre-calculate and present relevant application recommendations before users even search. This preliminary action maintains interface simplicity while improving discovery efficiency by having relevant applications ready for presentation based on predicted user needs.
Data Source
AI summary
Disclosed herein are methods, systems, and apparatuses to enable subscribers of mobile wireless communication devices to view, research, select and customize service plans; to create and manage device groups, share and set permission controls for service plans among devices in device groups; to manage communication services through graphical user interfaces; to sponsor and promote service plans; and to design, manage, and control communication services through application programming interfaces.