Browser Extension Order Management for Real-Time Selection Detection
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Solution Overview
Problem
Existing online sales platforms face challenges in providing efficient order management and interactive shopping experiences, particularly in live streaming environments, where real-time communication and order confirmation are crucial but often lacking.
Innovation Solution
A system and method utilizing a browser extension that integrates machine learning models to analyze purchase comments, determine item selections, and manage orders, enhancing order management capabilities by automatically detecting user interactions and updating order data in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual order management is used on existing online sales platforms, then basic order processing is possible, but order management efficiency is low and real-time detection of user selections is lacking
Solution Approach 1:
The browser extension is installed and configured in advance on the user's terminal, enabling it to automatically detect and capture user selections on the social media platform before any manual intervention is needed. This preliminary setup allows the system to immediately begin automatically transmitting order information to the e-commerce platform when a purchase is made, eliminating the need for manual order entry and significantly improving order management efficiency while reducing processing time.
2Productivity
If automatic detection of user selections is implemented, then order management efficiency improves, but system complexity increases due to browser extension integration
Solution Approach 1:
A browser extension serves as an intermediary component installed on the user's terminal, bridging the social media platform and the e-commerce platform. This intermediary automatically detects user selections on the social media platform, extracts relevant order information, and transmits it to the e-commerce platform's order management system. By placing the detection logic in the browser extension rather than modifying the core platforms, the system achieves automatic order detection while minimizing complexity in the main systems.
3Speed
If real-time order data transmission is implemented, then order confirmation speed improves, but network communication requirements and system integration complexity increase
Solution Approach 1:
The system establishes a real-time feedback loop where the browser extension continuously monitors the social media platform for user purchase actions, immediately captures the order information, and automatically transmits it to the e-commerce platform. The e-commerce platform receives this real-time feedback, processes the order, and can immediately confirm it to the user. This feedback mechanism enables rapid order confirmation while using standard web communication protocols, keeping integration complexity manageable.
Data Source
AI summary
The present disclosure relates to a terminal and a method for order management. The method includes: displaying an object associated with a post on a website supported by a first server on a user terminal of a first user; detecting the first user to have selected the object; transmitting a purchase comment from a second user and related to the post to a second server, wherein the first server is different from the second server.