Automated Product Description Inconsistency Detection

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Solution Overview

Problem

Online marketplace platforms face challenges in ensuring accurate product descriptions, leading to potential misrepresentation and customer dissatisfaction due to inconsistencies in product information provided by sellers.

Innovation Solution

A computerized method and system utilizing natural language analysis tools to automatically extract and compare product attributes, detecting inconsistencies between a seller's product description and similar products on the platform, with the option to correct or prevent the posting of inconsistent descriptions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If automated attribute extraction and comparison is implemented, then product information accuracy is improved, but system complexity increases

Engineering Contradiction:

Improveproduct information accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual review processes with automated natural language analysis tools that extract and compare product attributes. The system automatically processes product descriptions, compares them against marketplace averages, and detects inconsistencies without human intervention, thereby improving accuracy while managing complexity through automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically extracting attributes from product descriptions, comparing them against stored marketplace data, and generating inconsistency reports without requiring external manual processing. The automated system serves itself by maintaining its own database of product attributes and performing independent analysis.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual review of product descriptions is performed, then accuracy can be maintained, but time consumption increases

Engineering Contradiction:

Improveproduct description accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary automated analysis of product descriptions before they are fully reviewed or listed. By pre-extracting attributes and comparing them against marketplace averages in advance, the system identifies potential inconsistencies early, reducing the time needed for subsequent manual review and enabling faster marketplace operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent substitutes manual review processes with automated natural language analysis that rapidly processes product descriptions. The automated system extracts attributes, compares them against stored data, and generates reports much faster than human reviewers could manually analyze each description, significantly reducing time consumption while maintaining accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If automated inconsistency detection is implemented, then marketplace reliability is improved, but processing resources increase

Engineering Contradiction:

Improvemarketplace reliabilityVSAvoidprocessing resources

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies partial analysis by focusing automated attribute extraction and comparison only on specific key attributes that are most likely to contain inconsistencies, rather than analyzing every possible detail in product descriptions. This selective approach maintains marketplace reliability while reducing processing resource consumption compared to comprehensive analysis of all product information.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent uses automated natural language analysis tools that efficiently process product descriptions with lower resource consumption than manual review processes. The automated system leverages optimized algorithms and pre-existing data structures to perform comparisons rapidly, improving marketplace reliability while managing processing resource requirements through efficient automated processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10169810B2Product information inconsistency detection

Publication Date: 2019.01.01 DYNAMIC DATA INNOVATIONS LLC

AI summary

A computerized method of detecting product description inconsistencies, comprising receiving from a seller a product description comprising one or more attributes of a product offered for sale on an online marketplace arena, extracting automatically the one or more attributes by analyzing the product description using one or more language analysis tool, analyzing automatically the one or more attributes compared to a plurality of attributes of one or more other products of a same class as the product to detect one or more inconsistencies of the product description with respect to the one or more attributes and outputting the at least one inconsistency.