Event Ticket Inventory Prioritization System
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Solution Overview
Problem
The secondary ticket market lacks an efficient mechanism for buying and selling event tickets, leading to unused tickets and imbalanced supply and demand, particularly due to the unique nature of each seat location and the time-sensitive nature of event tickets.
Innovation Solution
A network-based system that prioritizes and processes updated inventory information for event listings, allowing for efficient categorization and prioritization of ticket updates to ensure accurate reflection of available inventory, especially during critical time periods, thereby maximizing selling opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If updated ticket information is processed in the order received, then processing simplicity is maintained, but time-sensitive ticket updates may be delayed causing loss of selling opportunities
Solution Approach 1:
The system performs preliminary categorization of ticket updates by event, allowing updates to be organized and prioritized before processing. This enables the system to prepare update batches in advance, so when processing occurs, time-sensitive updates are already positioned for immediate handling, reducing overall processing delay.
Solution Approach 2:
The system dynamically adjusts processing order based on time-sensitivity criteria. Updates are not processed in static first-come-first-served order, but rather in a dynamic order that prioritizes time-sensitive events, allowing the system to adapt processing behavior to current market conditions and ticket expiration risks.
2Reliability
If all event categories are processed simultaneously, then comprehensive inventory updates are achieved, but system complexity and processing overhead increase
Solution Approach 1:
The system segments the inventory update process into distinct event categories, allowing each category to be processed independently according to its specific requirements. This segmentation maintains comprehensive coverage of all events while reducing overall system complexity by breaking down the monolithic processing task into manageable, parallelizable units.
Solution Approach 2:
The system processes event categories in prioritized batches rather than attempting to process all categories simultaneously with equal intensity. By applying partial action to lower-priority categories while focusing excessive processing resources on time-sensitive categories, the system achieves comprehensive inventory accuracy without overwhelming system complexity.
3Ease of operation
If ticket updates are processed without prioritization, then processing fairness is maintained, but time-sensitive nature of event tickets is not addressed leading to unused tickets
Solution Approach 1:
The system changes the processing parameter from simple chronological order to time-sensitivity-based priority order. By adjusting this fundamental parameter, the system maintains operational simplicity through automated rule-based processing while effectively addressing time-sensitive tickets, preventing loss of valuable inventory that would occur with uniform processing.
Data Source
AI summary
A system and methods for prioritizing and processing updated inventory information for event listings are described. In one embodiment, a network-based system may receive updated ticket information from a seller for multiple event listings, categorize the updated ticket information from the seller by event, prioritize event categories comprising updated ticket information in accordance with a prioritization policy, and process a prioritized event category comprising updated ticket information for a particular event listing out-of-order with respect to one or more other event categories comprising previously-received updated ticket information for other event listings. Other embodiments are described and claimed.