Browser Extension for Real-Time Promotion Tracking
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Solution Overview
Problem
Users often fail to benefit fully from promotional offers during online shopping due to forgetting or not having the necessary codes or offers available at the time of purchase, leading to missed opportunities for discounts and rewards.
Innovation Solution
A method and system that tracks user activities and personal details to identify and present relevant promotions in real-time within the browser, reminding users of applicable offers and assisting in applying them during the shopping process, while also analyzing user responses for merchants and banks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If promotional codes and offers are sent via email, statements, and paper bill inserts, then users receive promotional information, but users cannot benefit from these offers at the time of purchase because they forget or do not have the codes available
Solution Approach 1:
The system performs preliminary action by proactively pushing promotional information to the user's mobile device before the purchase moment. The server identifies relevant promotions based on user profile and shopping cart contents, and delivers them via mobile notification in advance, so users have the information ready when needed without having to search for it later.
Solution Approach 2:
The mobile device acts as an intermediary between the server and the user during the shopping process. It receives promotional information from the server and presents it to the user at the appropriate moment, bridging the gap between promotional information delivery and actual purchase decision-making.
2Adaptability or versatility
If users manually check for promotions and codes during shopping, then they might find applicable offers, but this process is time-consuming and complex
Solution Approach 1:
The system implements self-service by automatically matching promotions to users based on their profile information and current shopping cart contents. The server performs the complex task of identifying applicable offers without requiring user intervention, eliminating the need for users to manually search or manage promotional codes.
Solution Approach 2:
The system uses feedback from user profile data and shopping cart information to dynamically determine which promotions are relevant. The server continuously monitors user activity and shopping cart contents, and automatically updates promotional information based on this feedback, ensuring users receive only applicable offers.
3Loss of time
If the system pushes promotional information to mobile devices proactively, then users receive promotions at the right time, but this requires real-time tracking of user activities and shopping cart contents
Solution Approach 1:
The server performs multiple functions: it maintains user profiles, monitors shopping cart contents, identifies applicable promotions, and delivers notifications. This multi-functionality allows the system to handle real-time tracking and promotion delivery within a single integrated platform, managing complexity centrally rather than distributing it across multiple components.
Data Source
AI summary
A method, system, and computer program product for assisting a user in one or more activities during online shopping. The method facilitates tracking of at least one activity of the user during online shopping. Thereafter, the method identifies a suitable promotion for the user based on the tracked activity. Subsequently, the method displays the promotion in a predefined format on a portion of the browser.