Inventory Data Processing System for Vehicle Standardization
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Solution Overview
Problem
Current inventory management systems face challenges in processing and standardizing heterogeneous inventory data from various sources, particularly in the automotive industry, where data varies significantly in content and format, making it difficult to identify the most granular standard product class for vehicles.
Innovation Solution
A source- and venue-specific inventory data processing system that filters, transforms, and augments vehicle data records using a rules engine and modular components to determine the appropriate standard product class for each vehicle, enabling accurate data dissemination to different venues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If inventory data is collected from multiple heterogeneous sources, then the quantity and diversity of inventory information increases, but the complexity of processing and standardizing the data increases
Solution Approach 1:
The patent introduces a centralized inventory management system as an intermediary that receives data from multiple heterogeneous sources (dealership management systems, manufacturer databases, third-party services) and transforms them into a unified standardized format. This intermediary layer absorbs the complexity of handling different data formats while providing consistent output to various venues.
Solution Approach 2:
The system implements a universal data processing framework that can handle multiple data formats and sources through a single standardized interface. The system provides multi-functional capabilities including data collection from diverse sources, transformation to standard formats, filtering based on venue requirements, and distribution to multiple venues, thereby reducing overall system complexity.
2Ease of operation
If inventory data is standardized to a common format, then the ease of processing and dissemination improves, but the loss of source-specific detailed information increases
Solution Approach 1:
The patent segments the data processing into distinct stages: collection of source-specific data, transformation to standardized format, filtering based on venue requirements, and dissemination. This segmentation allows the system to preserve source-specific details during collection and transformation while maintaining ease of processing through standardization in subsequent stages.
Solution Approach 2:
The system applies local quality by customizing data filtering and selection based on specific venue requirements. Different venues can request different levels of detail and different data formats from the standardized pool, allowing the system to maintain source-specific information where needed while providing standardized access where required.
3Reliability
If venue-specific data filtering is implemented, then the accuracy and relevance of information delivered to venues improves, but the complexity of data management increases
Solution Approach 1:
The system performs preliminary action by pre-defining venue-specific filtering rules and data selection criteria before data dissemination. Venues can specify their requirements in advance, and the system pre-processes the data accordingly, reducing the complexity of real-time filtering while ensuring accurate and relevant information delivery.
4Quantity of substance
If comprehensive vehicle data is made available to all venues, then the quantity of information accessible to customers increases, but the loss of time for data processing and filtering increases
Solution Approach 1:
The system performs preliminary data processing, transformation, and filtering before data is made available to venues. By pre-processing the data according to standardized formats and venue-specific requirements in advance, the system reduces the time needed for real-time processing while maintaining comprehensive access to vehicle information.
Data Source
AI summary
A system processes product data including values for a product data record corresponding to a product style. A network interface receives a product data record over a network from a source. A memory has stored thereon computer readable instruction code, including, a rule set having rules associated with the product data record, and a processing manager to apply the rules to the product data record and determine availability of values to a venue. The processing manager includes a style identification manager to determine from among the available values a product style associated with the available values, and to make the product style available to the venue based on the rules.