Real-Time Usage Tracking for Service Plan Recommendations

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Solution Overview

Problem

Network operators face challenges in providing real-time usage tracking and personalized service recommendations to customers, leading to inefficient resource allocation and potential service plan overages, as existing systems lack dynamic control mechanisms based on actual usage patterns.

Innovation Solution

Implementing a network architecture that includes real-time usage tracking and recommendation systems, utilizing access point names (APNs) to monitor and analyze usage data, and generating recommendations for service plans or control options based on real-time data, allowing customers to manage their services dynamically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If real-time usage tracking and recommendation systems are implemented, then service management efficiency and customer satisfaction are improved, but system complexity and resource requirements increase

Engineering Contradiction:

Improveservice management efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a recommendation system as an intermediary component that sits between the usage tracking mechanism and the customer service platform. This intermediary processes raw usage data, generates personalized recommendations, and presents them to customers through appropriate channels, thereby managing the complexity of real-time analysis and recommendation generation without burdening the core service management system

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system is divided into distinct functional modules: usage tracking module, data analysis module, recommendation generation module, and delivery module. Each module handles specific tasks independently, allowing for easier maintenance, scaling, and optimization of individual components while maintaining overall system functionality

Inventive Principle:

Principle #1Segmentation

2Reliability

If real-time usage monitoring is implemented, then customers can prevent service plan overages, but data processing requirements and system resource consumption increase

Engineering Contradiction:

Improveservice plan management reliabilityVSAvoiddata processing resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements partial monitoring by focusing on key usage metrics and thresholds rather than analyzing every single data point in real-time. Usage tracking is performed at critical checkpoints and when threshold violations are detected, rather than continuously monitoring all usage activities, thereby reducing processing overhead while maintaining reliability in preventing overages

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system employs feedback mechanisms where usage data is collected, analyzed against service plan thresholds, and recommendations are generated only when relevant actions are needed. This feedback-driven approach ensures that processing resources are consumed selectively based on actual usage patterns and customer needs, rather than continuously processing all data

Inventive Principle:

Principle #23Feedback

3Ease of operation

If personalized recommendations are provided based on usage patterns, then customer satisfaction improves, but data analysis complexity and processing time increase

Engineering Contradiction:

Improvecustomer satisfactionVSAvoidrecommendation generation time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of usage patterns and customer preferences in advance, building user profiles and identifying potential recommendation opportunities before customers actually need them. This allows recommendations to be pre-prepared and delivered instantly when triggered, reducing perceived processing time while maintaining personalization quality

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The recommendation system dynamically adjusts analysis depth, recommendation granularity, and delivery timing based on various parameters such as customer engagement level, service plan type, and usage anomaly detection. By changing these parameters adaptively, the system optimizes the balance between personalization quality and processing time for different scenarios

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9924044B2Recommendations based on real-time usage information

Publication Date: 2018.03.20 VERIZON PATENT & LICENSING INC

AI summary

A method including receiving a request for a service or an application from a user device associated with a customer; determining a type of service or a type of application; providing the service or the application; performing real-time tracking of the customer's usage of the service or the application based on the type of service or the type of application; generating one or more recommendations pertaining to the service or the application based on the real-time tracking; and sending the one or more recommendations to the customer via the user device.