Automated Meeting Location Ranking System
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Solution Overview
Problem
Existing meeting location suggestion systems are inconvenient for participants, often not applicable, and require tedious manual searches by organizers, failing to consider participant-specific parameters such as age restrictions and preferences.
Innovation Solution
A method and system that automatically identifies optimal meeting locations by receiving participant parameters, ranking relevant locations based on factors like cost, eligibility, distance, interests, and history, and allowing users to select and invite participants via electronic devices connected to a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing systems provide meeting location suggestions based on organizer location, then the organizer can quickly get suggestions, but the location is often not convenient for the majority of invited participants
Solution Approach 1:
The system segments the meeting location selection process into distinct phases: initial suggestions based on organizer location, followed by participant feedback collection, and final optimization. This allows the system to adapt to participant needs while maintaining ease of operation through structured interaction.
Solution Approach 2:
The system implements feedback mechanisms where participants can provide input on their convenience and requirements. This feedback is then used to refine and optimize the meeting location suggestions, ensuring adaptability to participant needs while maintaining a user-friendly interface.
2Adaptability or versatility
If the meeting organizer conducts a detailed search to find a suitable meeting location, then the location can be optimized for all participants, but the search process is both tedious and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically generating initial meeting location suggestions based on the organizer's location and participant data. This eliminates the need for manual detailed searching while maintaining adaptability through automated optimization algorithms.
Solution Approach 2:
The system provides self-service functionality by automatically searching, evaluating, and ranking meeting locations based on multiple criteria including participant convenience. This automated self-service eliminates tedious manual searches while optimizing locations for all participants.
3Productivity
If existing systems provide meeting location suggestions, then the organizer can quickly select a location, but one or more suggestions are not applicable for some invited participants due to restrictions like age limits
Solution Approach 1:
The system performs preliminary checks on participant eligibility and location restrictions before generating suggestions. This ensures that all provided suggestions are applicable to the invited participants while maintaining fast response times through pre-validation of constraints.
Solution Approach 2:
The system generates multiple transient location suggestions and quickly filters out inappropriate ones based on participant restrictions. This rapid generation and filtering process ensures both speed of organization and reliability of suggestions by eliminating incompatible options.
Data Source
AI summary
A method and system for automatically identifying optimal meeting locations. The method includes receiving a plurality of meeting parameters associated with one or more participants. The method also includes identifying a list of optimal meeting locations relevant to one or more of the plurality of meeting parameters. The method further includes ranking the list of optimal meeting locations. Further, the method includes enabling a user to select an optimal meeting location from the list of optimal meeting locations. The system includes one or more electronic devices and a user electronic device. The user electronic device includes a communication interface, a memory, and a processor.