Crowdfunding Server Managing Gender Ratios for Event Bookings
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Solution Overview
Problem
Conventional crowd-funding platforms for events do not consider gender ratios and are inefficient for groups to manage pledges, leading to issues like unsold or undersold bookings and difficulty in ensuring male to female ratios, which affects the likelihood of successful event bookings.
Innovation Solution
A crowd-funding server system that allows users to pledge for multiple events and automatically manages pledges based on gender ratios, ensuring that events are booked efficiently by adjusting group pledges and waitlists to meet gender thresholds, thereby reducing financial risk for venues and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional crowd-funding platforms allow users to pledge for multiple events without gender ratio consideration, then users have flexibility in event selection, but venues face financial risk from unsold or undersold bookings due to imbalanced gender ratios
Solution Approach 1:
The system changes the parameter of gender ratio by introducing male and female threshold values that must be met for event booking. This ensures venues receive guaranteed attendance with balanced gender representation, reducing financial risk while allowing users flexibility to pledge for multiple events
Solution Approach 2:
The system performs preliminary actions by requiring users to pledge for events before the events occur, and by automatically managing pledge assignments to ensure gender thresholds are met. This advance planning secures bookings while maintaining user flexibility
2Ease of operation
If users manually manage pledges to multiple events, then users can control their commitments, but groups face inefficiency and complexity in coordinating event attendance
Solution Approach 1:
The system provides self-service by automatically managing user pledges and group coordination. The server handles pledge assignments, event booking notifications, and group coordination without requiring manual intervention, making the process easier and faster
Solution Approach 2:
The system replaces the mechanical manual coordination process with an automated server-based system that handles pledge management, group coordination, and event booking notifications, eliminating time-consuming manual communication
3Reliability
If the system enforces strict gender ratio thresholds for event booking, then venues ensure successful bookings, but users face reduced flexibility in event selection
Solution Approach 1:
The system applies partial action by allowing users to pledge for multiple events beyond what is strictly needed, with the understanding that only necessary pledges will be fulfilled. This ensures gender thresholds are met while maintaining user flexibility through optional extra pledges
4Reliability
If the system automatically charges users for pledged tickets upon event booking, then venues secure funding, but users face financial risk if they cannot attend all pledged events
Solution Approach 1:
The system performs preliminary action by charging users only for events that are actually booked, not for all pledged events. This secures venue funding through successful bookings while protecting users from financial risk for events they cannot attend
Solution Approach 2:
The system uses feedback by monitoring which events are successfully booked and automatically adjusting charges accordingly. Users are charged only for fulfilled pledges, providing real-time feedback on actual financial obligations based on booking outcomes
Data Source
AI summary
Embodiments disclosed herein provide systems and methods for a crowd-funding server for users to pledge to purchase tickets to an event based on a number of users that have pledged to purchase tickets for an event and the gender ratio of the users that have pledged to purchase the tickets for the event.