Service Plan Optimizer Using Usage Data Analysis

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Users face difficulties in choosing service plans due to numerous features and options, often resulting in excessive costs and dissatisfaction as they may pay for features rarely used, leading to potential discontinuation of service.

Innovation Solution

A service plan optimizer system that includes a storage device, processor, and user interface, which compares the current service plan with available plans based on usage data to recommend more cost-effective options, allowing users to select relevant data and estimate future usage patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users choose service plans with more features and options, then service plan functionality is improved, but service plan cost increases

Engineering Contradiction:

Improveservice plan functionalityVSAvoidservice plan cost

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system enables users to automatically analyze their own usage patterns through the optimizer engine, which processes stored usage data and generates personalized service plan recommendations without requiring manual consultation with service providers or complex user analysis

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop where usage data is continuously collected, analyzed by the optimizer engine, and used to generate recommendations that are presented to users through the user interface, allowing users to adjust their service plans based on actual usage patterns

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If service plans include more features, then user needs coverage is improved, but user satisfaction decreases due to excessive costs

Engineering Contradiction:

Improveuser needs coverageVSAvoiduser satisfaction

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The optimizer engine analyzes usage data to identify changes in usage parameters over time and recommends service plans with adjusted features that match current usage patterns, ensuring users pay for appropriate capacity rather than fixed over-provisioned plans

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system performs preliminary analysis of usage data before users make service plan decisions, pre-processing usage patterns and generating recommendations in advance to guide users toward optimal plan selections

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If users manually analyze service plan options, then decision accuracy is improved, but time consumption increases

Engineering Contradiction:

Improvedecision accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system replaces manual user analysis with an automated optimizer engine that uses processing algorithms to analyze usage data and generate recommendations, substituting mechanical human analysis with automated computational processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The optimizer engine acts as an intermediary between raw usage data and service plan decisions, processing and interpreting usage patterns to generate actionable recommendations that users can easily evaluate

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS7986935B1Service plan optimizer

Publication Date: 2011.07.26 T MOBILE INNOVATIONS LLC

AI summary

A service plan optimizer is provided. The service plan optimizer includes a storage device, a processor, an optimizer engine, and a user interface. The storage device stores usage data for a communication device. The optimizer engine is executed by the processor to compare a current service plan for the communication device with available service plans based on the stored usage data. The optimizer engine is also executed by the processor to form a recommendation based on the comparison. The user interface displays the recommendation.