Segmented Vehicle Data Identifier Template for Insurance Services
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Solution Overview
Problem
The logistical delays and costs associated with utilizing vast amounts of vehicle data in providing vehicle insurance services are significant, as existing systems lack efficient methods for data access and processing.
Innovation Solution
A specialty vehicle data identifier template is used to facilitate the translation of vehicle data, allowing for efficient storage and retrieval of vehicle attributes, enabling quick access to relevant information such as collision history, repair history, and owner data through a computer system with a memory structure that reduces redundant storage locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vast amounts of vehicle data are utilized in providing vehicle insurance services, then service quality and accuracy are improved, but processing time and costs increase
Solution Approach 1:
The vehicle data identifier is divided into multiple segments, each representing different vehicle attributes (e.g., VIN, make, model, year). This segmentation allows the system to access only the specific data segments needed for particular insurance tasks, rather than processing entire datasets, thereby improving processing efficiency while maintaining service quality.
Solution Approach 2:
The patent introduces a specialized database structure and data identifier system that acts as an intermediary between raw vehicle data and insurance processing systems. This intermediary structure organizes data efficiently and provides targeted access, reducing the time required to retrieve and process vehicle information while ensuring accurate access to relevant data.
2Loss of information
If comprehensive vehicle data is stored for insurance services, then data accuracy and completeness are improved, but storage requirements and complexity increase
Solution Approach 1:
Vehicle data is organized into segmented identifiers representing different attributes (VIN, make, model, trim, year). Each segment can be stored and accessed independently, allowing the system to maintain comprehensive data while reducing storage complexity through modular organization. This enables selective retrieval of specific data segments based on insurance service requirements.
Solution Approach 2:
The patent transforms traditional flat data storage into a multi-dimensional segmented structure where data is organized by attribute types and hierarchical levels. This dimensional reorganization allows comprehensive vehicle information to be stored in a more efficient, scalable manner that reduces overall system complexity while maintaining data completeness.
3Productivity
If vehicle data access is optimized for speed, then processing efficiency is improved, but data retrieval accuracy may be compromised
Solution Approach 1:
The specialized database structure and identifier system serve as an intermediary that ensures accurate data retrieval while maintaining fast access times. The structured organization with clear segment definitions and relationships enables the system to quickly locate precise data without compromising accuracy, as the intermediary structure guides efficient yet accurate data access.
Solution Approach 2:
Data is pre-organized into standardized segments with defined relationships and hierarchies before retrieval is needed. This preliminary structuring allows the system to quickly access accurate information without requiring complex queries or processing during actual data retrieval, thus maintaining both speed and precision.
Data Source
AI summary
A system and method to facilitate providing vehicle insurance services includes providing a specialty vehicle data identifier template for facilitating translation of a vehicle data identifier used to identify a vehicle, the specialty vehicle data identifier template including a plurality of segments, each segment of the plurality of segments representative of a vehicle attribute; receiving a request of a database for vehicle attribute data based on a search term, identifying each vehicle data identifier stored in the database including vehicle attribute data that substantially matches at least a portion the search term, compiling an output including any identified vehicle data identifier, and providing the output in an accessible format in response to the request for information.