Web-Based Unit Value Analytics for Supplier Data Integration
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Solution Overview
Problem
Computing systems face challenges in determining and acting on subunit value impacts for products, as they require detailed data on subunit values and relationships, which is often proprietary and difficult to integrate from various suppliers, leading to hidden unit value drivers being overlooked.
Innovation Solution
A web-based system provides a supplier interface for subunit impact analysis, using web application code executed by suppliers to collect unit value data, which is then analyzed to identify value drivers and suggest actions such as supplier selection or price negotiation based on cost structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed data on subunit values and relationships is collected from various suppliers, then the accuracy of unit value driver identification is improved, but the complexity of data integration and system configuration increases
Solution Approach 1:
The patent introduces a web-based analytics system as an intermediary between suppliers and the central computing system. This system collects, standardizes, and transmits subunit value data through a standardized interface, reducing the complexity of direct data integration from multiple suppliers while maintaining accurate identification of unit value drivers.
Solution Approach 2:
The patent divides the data collection and analysis process into distinct segments: (1) suppliers providing subunit value data through standardized interfaces, (2) web-based analytics systems collecting and preprocessing data locally, and (3) central computing systems analyzing aggregated data to identify unit value drivers. This segmentation reduces integration complexity while preserving measurement accuracy.
2Loss of information
If proprietary data from multiple suppliers is integrated, then the completeness of unit value analysis is improved, but the difficulty of data integration increases
Solution Approach 1:
The patent implements a universal standardized data interface that enables different suppliers to provide proprietary subunit value data in a common format. This universal interface maintains completeness of unit value analysis by accommodating diverse data sources while reducing integration difficulty through standardization.
Solution Approach 2:
The web-based analytics system serves as an intermediary that receives proprietary data from multiple suppliers, standardizes the data formats, and transmits unified data to the central computing system. This intermediary approach preserves information completeness while significantly reducing the difficulty of integrating proprietary data from various sources.
3Measurement precision
If manual data collection from suppliers is performed, then the accuracy of subunit value data is improved, but the time required for analysis increases
Solution Approach 1:
The patent implements preliminary automated data collection through standardized interfaces that suppliers configure once. This preliminary setup enables automated, continuous data collection without requiring repeated manual intervention, thereby maintaining data accuracy while dramatically reducing the time required for ongoing analysis.
Solution Approach 2:
The patent replaces manual data collection processes with automated electronic data exchange through standardized digital interfaces. This substitution eliminates the time-consuming manual data gathering process while maintaining the accuracy of subunit value data through structured, machine-readable data formats.
Data Source
AI summary
Various examples are directed to determining an impact of a subunit on the value of a unit. A web-based analytics system receives unit value data via a user interface page provided to a supplier computing device by a web application, the unit value data including relationship data describing a relationship between a plurality of subunit values and a unit value. Based on relationship data, the system increases a value for a first subunit while holding values for the other subunits constant until the value of the unit increases to a unit value threshold and increases a value for a second subunit while holding values for the other subunits constant until the value of the unit increases to a unit value threshold. The system compares an increase in the value of the first subunit to increase the value of the unit to the unit value threshold with an increase in the value of the second subunit to increase the value of the unit to the unit value threshold. Based on the comparing, the system determines that the first subunit is a more significant driver of the value of the unit than the second subunit.