Browser Extension for Contextual Reward Discovery
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Solution Overview
Problem
Users face difficulties in learning about and opting into promotions or discounts while shopping online, as they need to navigate multiple websites, applications, and accounts, leading to increased user interactions and time spent on devices.
Innovation Solution
A browser extension that identifies content related to products and merchants on webpages, determines customer rewards available to the user, and modifies the display to provide information about rewards and links to return to the original webpage for purchase, thereby streamlining the process of discovering and utilizing promotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually navigate multiple websites and applications to discover promotions, then they can find relevant offers, but the number of user interactions and time spent increases significantly
Solution Approach 1:
A browser extension acts as an intermediary between the user's browsing activity and promotion information. The extension automatically monitors webpage content, identifies products and merchants, checks eligibility for promotions, and displays relevant offers without requiring users to manually search multiple websites or applications.
2Loss of information
If users manually check multiple accounts and websites for promotions, then they can access reward information, but the complexity of user interactions increases
Solution Approach 1:
The browser extension performs self-service by automatically executing the entire promotion discovery process. It monitors browsing content, identifies eligible products, checks user account eligibility, and presents relevant promotions without requiring users to manually check multiple accounts or navigate complex interfaces.
3Loss of information
If users visit multiple pages and applications to discover promotions, then they can find available offers, but the number of pages and applications to visit increases
Solution Approach 1:
The browser extension merges multiple functions into a single integrated tool: webpage content analysis, product identification, merchant recognition, eligibility verification, and promotion display. This consolidation eliminates the need for users to visit multiple separate pages or applications to discover promotions.
4Loss of information
If the system provides comprehensive promotion information, then users can make informed decisions, but the amount of information processing required increases
Solution Approach 1:
The browser extension applies local quality by providing customized promotion information specific to each user's browsing context and eligibility. Rather than displaying all available promotions universally, it selectively presents only those promotions that are relevant to the current webpage content and applicable to the user's account, reducing information processing requirements.
Data Source
AI summary
An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.