Virtual Queue Management via Social Media Hyperlink Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current virtual queue management systems fail to effectively integrate with social media, preventing the utilization of social media promotional activities due to technical challenges in creating a unified software solution that can be in synchronous contact with multiple parties and update information in real time, leading to a negative user experience.
Innovation Solution
A computer-implemented system and method that allows for the re-ordering of user backlogs, ranking users based on a ranking value, and optimizing the queue while enabling interactions between users and facilities, using a server to query database records, transmit notifications, and update queue datasets, including features like interactive hyperlinks and social media integration to promote facilities and manage virtual queues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified software solution is created to enable synchronous contact with multiple parties and real-time updates, then social media integration and real-time monitoring capabilities are improved, but system complexity and difficulty of implementation increase
Solution Approach 1:
The system segments the unified software solution into separate functional modules: a queue management module for handling queue operations, a social media integration module for promotional activities, and a communication module for real-time updates. Each module can be developed, tested, and maintained independently, reducing the complexity of the overall system while enabling social media integration capabilities.
2Reliability
If all parties use the same unified application for queue management and social media interaction, then system integration and real-time communication are improved, but user experience deteriorates due to mandatory logging in and operational complexity
Solution Approach 1:
The system introduces third-party social media platforms (Facebook, Twitter, Instagram) as intermediaries between users and the queue management system. Users interact with the queue management system through their existing social media accounts without needing to log into a separate unified application. The social media platforms serve as mediators that handle authentication, communication, and data exchange, maintaining system integration reliability while preserving ease of operation for users.
3Loss of information
If real-time monitoring and updates of queue status are implemented, then information availability and user engagement are improved, but processing requirements and system resource consumption increase
Solution Approach 1:
The system implements event-driven feedback mechanisms where the queue management system automatically detects changes in queue status (such as position changes, queue openings, or cancellations) and pushes notifications to users' social media feeds. This feedback approach ensures real-time information availability while optimizing processing resources by only activating updates when actual changes occur, rather than continuously monitoring and processing data at all times.
Data Source
AI summary
The current disclosure describes a preselected information sharing application (PISA) system configured to generate a virtual queue dataset for a facility using data received from different users via a facility customer application (FCA) on devices of the users. The system further includes a facility management application (FMA) on devices within the facility configured to generate an interactive hyperlink associated to the facility and request the users within the virtual queue dataset to share the interactive hyperlink on social media platforms associated to the users. The FMA then monitors the activation of the interactive hyperlink by other users, and accordingly updates the virtual queue dataset to include other users and notify all users in the virtual queue dataset regarding the updated virtual queue dataset in real-time.