Inventory System Reconciling Dealer and OEM Data
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Solution Overview
Problem
Dealers in the automotive industry face challenges in optimizing product orders due to incomplete product configuration data and partial product disposition history, leading to discrepancies that hinder their ability to achieve sales goals, as they lack detailed information on product features and attributes, and their data often fails to accurately reflect inventory and sales trends.
Innovation Solution
An inventory, disposition, and order management system that utilizes multiple data sources to reconcile and augment product data, providing a comprehensive view of product inventory and disposition history, allowing for the formulation of recommended orders that align with dealer sales goals by integrating product identification, configuration, and disposition data from dealer and OEM systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If dealers use their existing product disposition history data, then they can track inventory and sales, but the data is incomplete and lacks detailed configuration information leading to inaccurate analysis
Solution Approach 1:
The patent combines dealer product disposition history data with OEM product configuration data into a unified dataset. This merging allows the system to access both sales information from the dealer and detailed configuration attributes from the OEM, resolving the information loss while maintaining analysis accuracy through integrated processing of both data sources
Solution Approach 2:
The patent introduces an intermediary processing system that receives data from both dealer and OEM sources, reconciles discrepancies, and produces enhanced product disposition history with complete configuration information. This intermediary layer ensures accurate matching of products across systems while preserving detailed configuration data that would otherwise be lost
2Productivity
If dealers place orders based on limited available data, then they can generate orders quickly, but the orders cannot be optimized to achieve sales goals due to incomplete information
Solution Approach 1:
The patent performs preliminary data reconciliation and enhancement before order generation by pre-integrating configuration data with disposition history and pre-calculating optimal order recommendations. This preliminary processing ensures that when dealers generate orders, they already have access to complete, accurate information that enables both quick ordering and optimized sales goal achievement
Solution Approach 2:
The patent implements feedback mechanisms where order outcomes and sales performance data are continuously fed back into the system. This feedback loop allows the system to learn from actual sales results and refine future order recommendations, improving reliability of sales goal achievement while maintaining efficient order generation through automated decision support
3Ease of operation
If dealers assume certain product attributes based on limited data, then they can make decisions without complete information, but these assumptions lead to incorrect conclusions about product performance
Solution Approach 1:
The patent enables the system to automatically retrieve, reconcile, and validate product configuration data without requiring dealer assumptions or manual intervention. The system self-services by directly accessing OEM configuration databases and automatically matching them with disposition history, eliminating the need for dealers to make incorrect assumptions while maintaining simple, automated decision-making processes
Data Source
AI summary
An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.