Vehicle Data Mapping for Standardized Feature Normalization
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Solution Overview
Problem
Dealerships lack accurate standardization of vehicle data across diverse inventories, hindering consistent information provision and customer satisfaction due to varying manufacturer terminologies for vehicle features.
Innovation Solution
A computer-implemented system that collects, normalizes, and standardizes vehicle data using natural language processing, machine learning, and rule-based methods to create a uniform format for inventory management, enabling accurate representation and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dealerships use multiple manufacturer-specific vehicle data formats, then they can accommodate diverse vehicle inventories from different manufacturers, but data standardization and consistency deteriorate
Solution Approach 1:
The patent introduces an intermediary mapping system that translates manufacturer-specific vehicle data formats into a standardized internal representation. This mediator layer enables the dealership to accommodate diverse inventories from multiple manufacturers while maintaining data consistency through automated normalization processes.
Solution Approach 2:
The system creates a universal data structure that can handle multiple manufacturer formats simultaneously. By designing a multi-functional mapping framework, the dealership achieves both adaptability to diverse inventories and standardization of data representation across all vehicle types.
2Measurement precision
If dealerships manually map vehicle features to standardized terms, then data accuracy improves, but time consumption and operational complexity increase
Solution Approach 1:
The system implements self-service automated mapping capabilities using machine learning models that automatically translate manufacturer-specific feature terminology into standardized terms without requiring manual intervention. This maintains high mapping accuracy while eliminating time-consuming manual processes.
Solution Approach 2:
The patent employs preliminary training of mapping models using historical vehicle data to pre-establish accurate translation rules. This preliminary action enables the system to automatically perform accurate mappings in real-time operations without requiring time-consuming manual processing during actual data entry.
3Loss of information
If dealerships implement comprehensive vehicle data collection, then inventory information completeness improves, but system complexity and processing requirements increase
Solution Approach 1:
The patent segments the comprehensive vehicle data collection process into distinct modular components: data acquisition modules for different manufacturers, normalization modules, mapping modules, and analysis modules. This segmentation maintains information completeness while reducing overall system complexity through organized modularity.
Solution Approach 2:
The system introduces intermediary data structures and processing layers that manage the complexity of comprehensive data collection. These intermediaries organize raw manufacturer data into standardized formats before further processing, enabling complete information capture without overwhelming system complexity.
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for external vehicle mapping. A computer system receives vehicle data from one or more external sources, including manufacturer databases, dealership management systems, government records, or vehicle identification codes. A mapping module normalizes the received data into a standardized data structure representing vehicle features, options, or packages. The standardized data is stored in an inventory database and provided to dealership systems, advertising platforms, or third-party applications through an inventory management interface. The mapping module may apply natural language processing, rule-based translation, and machine learning to reconcile inconsistent or incomplete data across manufacturers and sources. A feedback interface allows operators to correct or confirm mappings, enabling continuous refinement of rule sets and predictive models. The invention improves the accuracy and consistency of vehicle feature representation across diverse inventories, thereby enhancing dealership efficiency, consumer transparency, and integration with external systems.