Geographic Normalization Metrics for Local Vehicle Market Analysis
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Solution Overview
Problem
Current methods for determining vehicle market indicators are inaccurate due to variations in consumer behavior and dealership density across geography, leading to poor predictions and inefficient data analysis.
Innovation Solution
A system that determines normalization metrics accounting for geography and population density to provide accurate, real-time data analysis and visualization of dealership performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If distance brackets are used for data analysis across the whole nation, then analysis simplicity is improved, but prediction accuracy deteriorates due to geographic variability
Solution Approach 1:
The patent applies local quality by transitioning from uniform national distance brackets to geographically-adaptive distance brackets that are customized for each dealer location. The system determines typical distances traveled by consumers in each geographic area and establishes distance brackets based on these local patterns rather than applying a single national standard. This allows the analysis to account for local behavioral variations while maintaining the simplicity of bracket-based analysis.
Solution Approach 2:
The patent segments the national market into multiple geographic regions, each with its own distance bracket characteristics. Instead of treating the entire nation as a single analysis unit, the system divides it into dealer-specific geographic zones where consumer behavior patterns are more homogeneous. This segmentation enables more accurate local analysis while still providing comprehensive national coverage.
2Stability of the object's composition
If uniform distance brackets are applied nationwide, then data collection consistency is improved, but data relevance to local markets deteriorates
Solution Approach 1:
The patent implements dynamics by making distance brackets adaptive rather than static. The system continuously monitors consumer travel behavior in each geographic area and adjusts distance brackets to reflect current local patterns. This allows the data collection framework to maintain consistency in its methodology while adapting to changing local market conditions and consumer preferences.
Solution Approach 2:
The patent applies parameter changes by modifying the distance bracket parameters based on local geographic and behavioral characteristics. Instead of using fixed distance values nationwide, the system adjusts the bracket parameters (distance thresholds, zone definitions) to match local consumer travel patterns, population density, and dealer distribution specific to each geographic area.
3Quantity of substance
If national aggregate data is used, then data availability is improved, but data quality for local predictions deteriorates due to noise from behavioral variability
Solution Approach 1:
The patent segments national aggregate data into geographically-specific data sets, allowing the system to maintain large data volumes while reducing noise from behavioral variability. By organizing data at the dealer-specific or regional level rather than purely national level, the system preserves data quantity while improving data quality through localized analysis that accounts for regional consumer behavior patterns.
Data Source
AI summary
Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to assign zone labels to geographic areas and present representations of the geographic areas based on the normalization metrics across the distributed computer network.