Collaborative Product Taxonomy Instantiation for B2B E-Commerce
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Solution Overview
Problem
In B2B e-commerce, semantic disconnects due to heterogeneous product identifiers (part numbers) hinder automated processes, requiring manual intervention and increasing costs in direct and stockable MRO materials transactions, as buyers and sellers lack a common understanding of form, fit, and function equivalencies.
Innovation Solution
Collaborative Product Taxonomy Instantiation (CPTI) provides a unifying Exchange Part Number (EPN) through collaborative taxonomy instantiation, linking disparate internal part numbers to a standard taxonomy, enabling automated e-commerce by associating material master data with EPNs, thus facilitating automated e-procurement and e-selling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If heterogeneous internal part numbers are used by different enterprises, then each enterprise can maintain its own product identification system, but semantic disconnects occur between buying and selling entities requiring manual intervention
Solution Approach 1:
The patent introduces a collaborative product taxonomy instantiation (CPTI) as an intermediary layer between heterogeneous internal part number systems. The CPTI maps multiple enterprise-specific part numbers to a common set of product attributes and characteristics, enabling automated matching and comparison without requiring changes to existing internal identification systems. This mediator resolves semantic disconnects by translating between different part number schemas while preserving the adaptability of each enterprise's own system.
Solution Approach 2:
The patent creates a universal product taxonomy framework that can accommodate multiple enterprise-specific part number systems simultaneously. The collaborative taxonomy instantiation serves as a multi-functional bridge that enables automated e-commerce processes across different enterprises while maintaining compatibility with each organization's internal identification conventions. This universal framework allows the system to handle diverse part number formats without sacrificing the versatility of individual enterprise systems.
2Reliability
If manual intervention by technical experts is used to determine form, fit, and function equivalency, then accurate product matching is achieved, but the process slows down and increases costs
Solution Approach 1:
The patent implements a self-service automated system where the collaborative product taxonomy instantiation automatically determines form, fit, and function equivalency between products from different enterprises. The system uses predefined attribute mappings and comparison logic to autonomously identify equivalent products without requiring manual technical expert intervention. This self-service approach maintains reliable matching accuracy while dramatically increasing transaction speed and reducing costs.
Solution Approach 2:
The patent replaces the manual mechanical process of technical expert review with an automated computational system. The collaborative taxonomy instantiation uses algorithmic comparison of product attributes and characteristics to determine equivalency, substituting human expert analysis with machine-based automated decision-making. This substitution preserves the reliability of accurate matching while eliminating the time and cost overhead of manual intervention.
3Extent of automation
If collaborative taxonomy instantiation is implemented to unify product identifiers, then automated e-commerce processes are enabled, but system complexity increases
Solution Approach 1:
The patent segments the complex taxonomy management system into modular components: a collaborative framework layer, an instantiation generation layer, and an attribute mapping layer. Each component performs a specific function and can be independently configured and maintained. This segmentation reduces overall system complexity by breaking down the monolithic taxonomy management into manageable, reusable modules that can be implemented incrementally across different enterprises.
Solution Approach 2:
The patent performs preliminary action by pre-defining the collaborative taxonomy framework and attribute schemas before actual e-commerce transactions occur. The taxonomy instantiation is generated in advance based on collaborative input from participating enterprises, creating a ready-to-use mapping structure. This preliminary setup work reduces the complexity of real-time processing by having the matching logic and attribute relationships预先 established, allowing automated processes to simply query and apply the pre-configured taxonomy rather than dynamically constructing it during transactions.
Data Source
AI summary
A method forms a collaborative product taxonomy instantiation by starting with or defining a base taxonomy instantiation and collaborating between trading parties to negotiate a collaborative product taxonomy instantiation. The taxonomy instantiation comprises a set of characteristics and values of a desired product. The method assigns a set of characters to the collaborative product taxonomy instantiation. The method uses the set of alphanumeric characters in an electronic trade exchange between a buyer software application and a seller software application. The seller software application may determine whether it has a product that is equivalent to the collaborative product taxonomy instantiation.