Real-Time Meeting Scheduling System With Automated User Matching
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Solution Overview
Problem
Existing systems face challenges in processing scheduling requests in real-time, leading to potential delays and missed engagements in resource allocation and user meetings.
Innovation Solution
A computer-implemented method that receives proposed location or time information for meetings, determines matched users, transmits meeting invitations, receives acceptance responses, and provides a meeting manager interface to manage confirmed meetings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used to invite matched users one-by-one to meetings, then individual user attention and customization can be provided, but the process becomes time-consuming and resource-intensive when scaled to large numbers of users
Solution Approach 1:
The system enables automated self-service scheduling where the scheduling system automatically invites matched users, tracks their availability, and coordinates meetings without requiring manual intervention for each user. The system serves itself by autonomously managing the entire scheduling workflow from invitation to confirmation.
Solution Approach 2:
The patent replaces the mechanical manual process of individually inviting users with an automated computational system that uses algorithms to match users, send invitations, and coordinate schedules. This substitution of mechanical human effort with automated computing processes enables scaling to large numbers of users while maintaining efficiency.
2Productivity
If real-time processing of scheduling requests is implemented, then resource allocation efficiency and meeting coordination are improved, but system complexity and computational resources required increase
Solution Approach 1:
The scheduling system is divided into modular functional components including user matching modules, availability tracking modules, invitation sending modules, and confirmation tracking modules. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while enabling real-time processing through coordinated operation of these modular elements.
Solution Approach 2:
The system implements multi-functional components that can handle multiple scheduling operations simultaneously. The same infrastructure and processing logic are used across different user groups and scheduling scenarios, reducing redundancy and simplifying the overall system architecture while maintaining real-time capabilities.
Data Source
AI summary
A computer-implemented method is disclosed. The method includes: receiving, via a first computing device associated with a first user, proposed location information for a meeting; determining a plurality of second users who are matched with the first user based on a user matching process; transmitting, to second computing devices associated with the plurality of second users, a meeting invitation containing the proposed location information; receiving, via at least one of the second computing devices, a response indicating acceptance of the meeting invitation; and providing, on each of the first computing device and the at least one second computing device, a meeting manager interface in connection with the meeting, the meeting manager interface being configured to indicate identities of the first user and one or more second users associated with the at least one second computing device.