Electronic Ticketing Seating Optimization Algorithm
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Solution Overview
Problem
Live events face challenges such as transportation issues due to drunk driving laws, difficulty in coordinating seating among friends, and vacant seats remaining unsold, leading to a need for a system that enhances the overall experience and efficiency for both consumers and sellers.
Innovation Solution
A computer-implemented method and system that utilizes portable computing devices to optimize seating, coordinate transportation, and facilitate ticket upgrades and sales, including features like electronic ticket management, seating optimization algorithms, and social networking integration for friend coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If strict drunk driving laws are enforced, then public safety is improved, but consumers cannot freely enjoy alcoholic beverages at live events
Solution Approach 1:
The patent introduces a designated driver matching system as an intermediary solution. The system connects consumers who need transportation with designated drivers who are willing to drive, thereby enabling alcoholic beverage consumption while maintaining public safety through proper transportation arrangements.
Solution Approach 2:
The system allows consumers to independently find and coordinate with designated drivers through the electronic ticketing platform, eliminating the need for manual coordination and making the process self-service oriented.
2Ease of operation
If traditional ticketing systems are used, then ticket sales are straightforward, but consumers cannot easily coordinate seating with friends who live in different geographic places
Solution Approach 1:
The electronic ticketing system performs multiple functions: it provides traditional ticketing capabilities while also enabling seating coordination, transportation arrangement, and social networking features, making it a universal platform for live event participation.
Solution Approach 2:
The system acts as an intermediary that connects consumers with friends from different locations, facilitating seating coordination through electronic communication and seat assignment features integrated into the ticketing platform.
3Productivity
If all seats are sold at fixed prices, then revenue is maximized, but consumers cannot upgrade or downgrade seats based on their needs
Solution Approach 1:
The patent implements dynamic seat pricing and assignment where consumers can upgrade or downgrade seats based on their needs and preferences. The system allows real-time changes to seat assignments and pricing, transforming the static ticketing model into a dynamic one that adapts to consumer requirements.
Solution Approach 2:
The system changes parameters such as seat location, view quality, and pricing dynamically based on consumer preferences and availability, allowing flexible upgrades and downgrades while maintaining revenue optimization through strategic pricing adjustments.
4Device complexity
If manual seat assignment is used, then seating is simple to manage, but dozens or hundreds of vacant seats remain unsold even when consumers arrive at the event
Solution Approach 1:
The system enables consumers to independently find and purchase upgrades for vacant seats through the electronic ticketing platform, eliminating the need for manual seat management by event staff and increasing seat utilization through consumer-driven transactions.
Solution Approach 2:
The system provides real-time feedback on seat availability and pricing, allowing consumers to make informed decisions about seat upgrades based on current conditions, thereby optimizing seat utilization through dynamic market responses.
Data Source
AI summary
A computer implemented method and system includes receiving a request to participate in an electronic seating optimization algorithm and retrieving data about an existing electronic ticket, the data including a location of a seat within a venue. A first list of one or more requests to participate in the electronic seating optimization algorithm may be generated where the first list is ranked in accordance with at least a location of each seat associated with an electronic ticket. Subsequently, a seating optimization algorithm is executed to identify optimal and available seats corresponding to one or more seats from each request to participate. A second list of the one or more requests to participate is generated where the second list is ranked in accordance with the results of the electronic seating optimization algorithm. The location of a seat is then transmitted over a communications network in response to at least one request.


