Browser Extension Item Matching for Canceled Online Purchases
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Solution Overview
Problem
Existing browser extensions struggle to efficiently identify and match items across different online merchant platforms, particularly when transactions are canceled or abandoned, leading to missed opportunities for rewards and inefficient user experiences.
Innovation Solution
A browser extension and application that monitor user interactions and transactions, utilize machine learning algorithms to identify matching items across platforms, and provide navigation links to complete transactions with alternative merchants, thereby automating the item identification and comparison process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual browsing and navigation across multiple merchant platforms is performed, then users can find and compare items, but users require significant manual effort and time investment
Solution Approach 1:
The system enables automated self-service by having the browser extension automatically monitor webpage data, extract item information, and compare prices across platforms without requiring user intervention. The extension autonomously performs data scraping, item identification, and cross-platform comparison, freeing users from manual browsing efforts.
Solution Approach 2:
The patent replaces manual mechanical browsing actions with automated computational processes. Machine learning algorithms and automated scripts substitute for human manual navigation, data collection, and comparison tasks, transforming a labor-intensive process into an automated digital system.
2Extent of automation
If automated scraping and data extraction is performed without proper item identification, then browsing automation is achieved, but accurate item matching across platforms cannot be provided
Solution Approach 1:
The system incorporates feedback mechanisms where the browser extension continuously monitors webpage data, compares extracted item information against known item databases, and refines its identification accuracy. The extension uses feedback from successful matches and user interactions to improve its item recognition and matching precision across different platforms.
Solution Approach 2:
The patent applies preliminary action by pre-training machine learning models and preparing item databases before actual browsing occurs. The system pre-establishes item identification criteria, price comparison parameters, and matching algorithms in advance, enabling accurate item identification when automated browsing is performed.
3Productivity
If browser extensions monitor and scrape webpage data, then transaction monitoring is achieved, but complex webpage layouts require specialized knowledge for proper data extraction
Solution Approach 1:
The browser extension is designed with universal functionality to handle diverse webpage layouts and structures. It implements multiple data extraction methods and adaptive scraping techniques that can work across different merchant platforms and webpage designs, making the extension versatile rather than platform-specific.
Solution Approach 2:
The system dynamically adjusts extraction parameters based on the detected webpage structure. When encountering different layouts or data formats, the extension modifies its scraping parameters, selectors, and parsing rules adaptively, allowing it to handle varying levels of webpage complexity without requiring manual reconfiguration.
Data Source
AI summary
There are provided systems and methods for browser extensions and applications for cross-platform item data identifications. A service provider server may provide website and application tools that may track user navigations, inputs and selections, and other operations with merchant websites and/or online merchant marketplaces. Further, the service provider may provide discounts and offers during purchases and transactions with the online merchants, which may further provide reward points or value based on use of the service provider's services. However, transactions may be canceled by the user and/or merchant, which may prevent distribution of such rewards. The service provider may provide operations to detect canceled transactions and thereafter determine the same or similar item from the transaction with different online merchants. The service provider may then automatically provide links and navigations to such items with the different online merchants using a browser extension and/or software application.