Mobile Service Plan APIs for Dynamic Data Usage Control
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Solution Overview
Problem
Mobile devices face challenges with limited data plans leading to unexpected overages, which are costly and deter users from utilizing data services, while network operators face declining revenues due to subscribers' reluctance to exceed data limits, and application developers struggle to promote their apps effectively in crowded app stores.
Innovation Solution
A system and method for customizable service plans, device group management, and application promotion through graphical user interfaces and APIs, allowing users to create, manage, and share service plans across devices, monitor usage, and facilitate application sponsorship.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If users subscribe to service plans with limited data usage, then billing costs for overages are reduced, but network operator revenues decline and users become reticent to utilize data services
Solution Approach 1:
The service plan transitions from a static limited data model to a dynamic model where the data allowance automatically adjusts based on real-time usage patterns, device type, and application requirements. The system continuously monitors usage and dynamically provisions additional data capacity when needed, eliminating the need for users to manually upgrade plans while preventing overages.
Solution Approach 2:
The system implements real-time feedback loops that monitor data usage, device characteristics, and application performance. When usage approaches plan limits, the system automatically notifies users and provisions additional capacity. This feedback mechanism ensures users never exceed their effective data allowance while the system optimizes revenue based on actual consumption patterns.
2Adaptability or versatility
If users are presented with numerous service plan options, then customization and adaptability improve, but user confusion and difficulty in selection increase
Solution Approach 1:
The system automatically analyzes user device characteristics, usage patterns, and application requirements to generate and present optimized service plan recommendations. Users simply review the automatically curated options and select from a limited set of relevant plans, eliminating the need to navigate through numerous irrelevant options. The system performs the complex analysis and filtering work automatically.
Solution Approach 2:
The system pre-analyzes device specifications, current usage patterns, and application requirements before presenting service plan options. This preliminary analysis filters out inappropriate plans and presents only the most suitable options, reducing user cognitive load and selection complexity while maintaining high adaptability to individual needs.
3Productivity
If application developers place multiple service launch objects in user interface, then application discovery and promotion improve, but user interface clutter and complexity increase
Solution Approach 1:
Service launch objects are strategically placed in specific high-visibility user interface locations based on user behavior patterns and device characteristics. Rather than uniformly distributing objects throughout the interface, the system concentrates them in optimal locations such as notification areas, home screen widgets, and context-relevant application sections, maintaining interface cleanliness while maximizing discovery rates.
Solution Approach 2:
The system moves service launch objects from traditional two-dimensional interface spaces to additional dimensions such as notification overlays, contextual menus, and time-based presentations. Service objects can appear in multiple interface layers and be presented at different times based on user activity, increasing discovery opportunities without cluttering the primary interface view.
Data Source
AI summary
There is provided a network message server configured to establish a secure network data connection between the network message server and a mobile end-user device, the secure network data connection supported by a socket including a socket identifier (ID) having at least one of a port address or a port number, receive a request to transmit data to one of a plurality of mobile applications a the mobile end-user device, the request including a device ID corresponding to the mobile end-user device and one of a plurality of mobile application IDs corresponding to the one of the plurality of mobile applications, and generate a network data message based on the request, the network data message including application data and the one of the plurality of mobile application IDs corresponding to the one of the plurality of mobile applications.


