Vehicle Comparison Server Using Propensity Tests and Cost Analysis
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Solution Overview
Problem
Current vehicle comparison methods do not effectively consider user propensities and costs such as depreciation and maintenance when recommending vehicles, leading to suboptimal purchasing decisions.
Innovation Solution
A vehicle comparison method and server that assess user propensities through tests, calculate vehicle compatibilities based on propensity factors, and compare recommended vehicles with higher trims or models considering depreciation and maintenance costs, providing personalized purchase information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle comparison is based on basic specifications only, then the comparison process is simple, but the recommendation accuracy does not reflect user propensities or financial implications
Solution Approach 1:
The patent segments the vehicle comparison process into distinct modules: propensity test module, compatibility calculation module, and cost analysis module. Each module handles specific aspects (user preferences, vehicle characteristics, financial implications) independently, allowing complex analysis to be broken down into manageable segments that can be processed systematically
Solution Approach 2:
The patent introduces multiple parameters beyond basic specifications, including propensity scores, compatibility indices, depreciation rates, and maintenance costs. These parameter changes enable more precise measurement of recommendation accuracy by incorporating user-specific factors and financial metrics into the comparison framework
2Reliability
If multiple vehicle factors including depreciation and maintenance costs are analyzed, then the purchasing decision quality improves, but the information processing time increases
Solution Approach 1:
The patent performs preliminary actions by conducting propensity tests and calculating compatibility scores before the actual vehicle comparison. Depreciation rates and maintenance costs are pre-calculated and stored, so that when comparison is needed, the system can quickly retrieve and analyze pre-processed data rather than computing everything from scratch
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to propensity tests continuously refine the compatibility calculations. The comparison results feed back into the recommendation system, allowing the algorithm to learn from user preferences and improve future recommendations, thereby reducing the time needed for accurate assessments
3Adaptability or versatility
If personalized vehicle recommendations are provided based on user propensity tests, then user satisfaction increases, but the service complexity increases
Solution Approach 1:
The patent creates a universal service framework that handles multiple functions through a single integrated system. The same propensity test mechanism serves both to understand user preferences and to calculate compatibility scores, while the comparison module simultaneously evaluates multiple vehicles across different criteria (specifications, costs, user alignment), reducing the need for separate specialized systems
Data Source
AI summary
An embodiment is a vehicle comparing method including providing a user question and a user propensity test to an application through a user terminal, receiving a response to the user question and the user propensity test from the user terminal, determining a user propensity based on the response, calculating a plurality of vehicle compatibilities representing vehicle-specific characteristics for each of the plurality of vehicles, determining a reference vehicle among the plurality of vehicles by comparing the user propensity with each of the plurality of vehicle compatibilities, and when receiving a response that either vehicle depreciation rate and a vehicle maintenance cost is considered, providing vehicle purchase information in which the reference vehicle is compared with a target vehicle corresponding to a higher trim or model of the reference vehicle according to a result of considering at least one of the depreciation rate of the vehicle and the vehicle maintenance cost.