Event Coordination Platform Using AI Group Matching
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Solution Overview
Problem
Existing social networking and ticketing systems lack efficient features for group event coordination, communication, and ticket management, failing to seamlessly connect users attending the same events and provide effective cost division and user behavior analytics.
Innovation Solution
A system and method for coordinating event communication and ticketing that utilizes a server with an internet messaging platform to manage user profiles, establish group connections, receive price ranges, and reserve or purchase tickets, incorporating artificial intelligence for smart matching and event recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If social networking systems provide basic communication features between event participants, then communication capability is improved, but the system cannot efficiently identify and connect accounts that have a likelihood of attending the event together
Solution Approach 1:
The system uses machine learning models that analyze user behavior patterns, event attendance history, and social graph data to predict and identify groups of users likely to attend events together. This feedback mechanism continuously improves matching accuracy by learning from actual attendance data and user interactions.
Solution Approach 2:
The system transforms basic communication functionality into intelligent group coordination by introducing multiple parameters including user preferences, event types, time constraints, and social connection strength. These parameter changes enable the system to adaptively match users for group events based on multiple criteria rather than simple communication capability.
2Productivity
If ticketing systems hold reserved seats for a set time period, then ticket availability is improved, but there is no efficient method for coordinating events between group participants
Solution Approach 1:
The system merges ticketing functionality with social networking and group coordination features. When users reserve tickets, the system automatically creates or joins group coordination channels, enabling seamless communication and coordination among participants while maintaining the reserved seat holding period.
Solution Approach 2:
The platform acts as an intermediary between individual ticket purchasers and group coordination needs. It provides automated group formation, communication channels, and coordination tools that bridge the gap between simple ticket reservation and complex group event planning.
3Ease of operation
If split-fare features are implemented in group ticketing systems, then cost division capability is improved, but the systems do not provide methods for efficiently coordinating events between group participants
Solution Approach 1:
The system combines payment coordination with event coordination in a unified platform. The same interface that manages split-fare payments also provides group chat, event details, attendance tracking, and communication tools, reducing overall system complexity despite the added functionality.
4Loss of information
If existing systems provide communication via message board or forum, then communication capability is improved, but they fail to provide relevant social tools and recommendations for event coordination
Solution Approach 1:
The platform provides a universal communication system that adapts its functionality based on the context. The same communication infrastructure supports private messages, group chats, event-specific discussions, and automated notifications, while integrating machine learning-based recommendations and social tools across all interaction types.
Data Source
AI summary
Systems and methods for group event and service coordination are provided, including Smart Chats, which connect user accounts to tools for intelligently finding tickets for sale, cost splitting, accessing related events and services, and sharing media. The systems and methods further implement artificial intelligence to match non-connected user accounts and provide event and service recommendations to connected user accounts.