Automated Product Matching System for Supplier Cross-Referencing

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Solution Overview

Problem

The process of finding a product from multiple suppliers that matches desired features or parameters is cumbersome and time-consuming, especially when features or parameters are substantially similar.

Innovation Solution

A system and method that uses software and hardware to receive input data, determine matching products, and output the closest matches, including products with parameters less than or greater than the desired value, by dynamically updating product data from manufacturers' websites using algorithms and artificial intelligence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual cross-referencing is used to find matching products from multiple suppliers, then product selection accuracy can be achieved, but the process becomes time-consuming and inefficient

Engineering Contradiction:
Improveproduct matching accuracyVSAvoidcross-referencing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual cross-referencing processes with automated computer-based systems that use algorithms to compare product parameters, specifications, and features. The system automatically retrieves product data from multiple suppliers, performs matching calculations, and generates cross-reference results without human intervention, thereby eliminating time loss while maintaining or improving matching accuracy through systematic computational methods.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service cross-referencing where users can independently input product parameters or select from pre-defined criteria, and the automated system handles the entire matching process. The system serves itself by automatically updating product databases, retrieving current specifications from suppliers, and generating matches without requiring manual data collection or comparison efforts from users.

Inventive Principle:
Principle #25Self-service

2Productivity

If automated product matching systems are implemented, then cross-referencing speed is improved, but system complexity increases

Engineering Contradiction:
Improvecross-referencing speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a universal cross-referencing system that can handle multiple product types, suppliers, and parameter categories through a single integrated platform. The system performs diverse functions including data retrieval from multiple sources, parameter comparison across different product families, specification matching, and result generation, all within one system architecture. This multi-functionality reduces the need for separate specialized systems for different product categories.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system manages complexity by dynamically adjusting parameter weights, matching criteria, and comparison thresholds based on product type and user requirements. The algorithm can change parameters such as priority of certain specifications, tolerance ranges for parameter variations, and matching stringency levels, allowing the same system structure to adapt to different product domains without requiring complete redesign for each application.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20220207464A1Process, system, and device for determining a related product
Publication Date: 2022.06.30 WOLFSPEED INC
  • US20220207464A1 patent drawing
  • US20220207464A1 patent drawing
  • US20220207464A1 patent drawing

AI summary

A method for related product identification includes receiving input data that includes a reference device data input and a parameter input. The method may further include determining at least one related product that matches the reference device data input and the parameter input with the at least one processor; and outputting with the at least one processor the at least one related product that matches the reference device data input and the parameter input.