Online Catalog Content Correction via User Feedback
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Solution Overview
Problem
Online product content on webpages often contains missing or incorrect information due to insufficient or inaccurate data provided by suppliers, which can deter potential customers and impact sales.
Innovation Solution
A system and method that utilize mobile devices to collect and update product content by determining incorrect or missing information in an electronic catalog, coordinating user requests to provide additional content, receiving and saving this content, and matching it with existing product data, ultimately displaying the updated information on webpages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If supplier-provided product content is used for webpages, then the initial product information is available, but the content may be missing or incorrect
Solution Approach 1:
The system implements feedback loops where user interactions (views, purchases, corrections) continuously inform and improve product content accuracy. User-generated corrections and updates feed back into the product database, creating a self-improving system that reduces information loss and enhances reliability over time.
Solution Approach 2:
The system enables users to directly contribute to product content accuracy by submitting corrections, updates, and additional information. This self-service approach allows the community to maintain and improve product data without requiring constant manual verification by suppliers or administrators.
2Reliability
If manual verification of product content is performed, then accuracy improves, but time and resources are consumed
Solution Approach 1:
The system automates content verification by enabling users to self-verify and correct product information directly through the platform. This eliminates the need for extensive manual verification processes while maintaining high accuracy through distributed user validation.
Solution Approach 2:
The system uses feedback from multiple user interactions to automatically identify and correct inaccurate product content. By analyzing patterns in user behavior and corrections, the system can prioritize verification efforts and automatically resolve common errors without manual intervention.
3Reliability
If product content is frequently updated, then information accuracy improves, but system complexity increases
Solution Approach 1:
The system employs a universal content management platform that handles multiple functions including content collection, verification, updating, and distribution through a single integrated interface. This multi-functional approach reduces overall system complexity while enabling frequent updates across all product pages.
Solution Approach 2:
The system enables automatic content updates through user-submitted corrections and AI-driven verification processes. This self-updating capability reduces the complexity of manual content management while maintaining current and accurate product information across the platform.
Data Source
AI summary
Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of determining that content for a product in an electronic catalog for display on a webpage of an online retailer comprises incorrect content or is missing content, coordinating a first display on mobile electronic devices of a plurality of users of a request to provide additional content that (1) replaces the incorrect content for the product in the electronic catalog or (2) provides the missing content for the product in the electronic catalog, receiving the additional content for the product from the mobile electronic devices of the plurality of users, and coordinating a second display of the additional information of the product on the one or more webpages of the online retailer.