Dynamic Ticket Pricing System for Event Revenue Optimization
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Solution Overview
Problem
Current systems for pricing and managing event tickets, such as those for sports and concerts, face challenges in accurately forecasting demand and optimizing prices, especially for 'one-off' events, due to factors like variable customer preferences and changing market conditions, leading to suboptimal revenue generation and inefficient inventory management.
Innovation Solution
A computerized method that analyzes external data, including web traffic, demographics, and secondary market data, to dynamically adjust ticket prices and redirect inventory, using mathematical models to predict demand and optimize revenue, while also correlating customer demographics with ticket preferences for targeted marketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic pricing models are implemented to optimize revenue, then revenue generation is improved, but system complexity increases
Solution Approach 1:
The system dynamically adjusts pricing parameters based on demand forecasts, event proximity, and market conditions. The pricing model transforms static face values into flexible price points that adapt to real-time data, optimizing revenue while managing complexity through algorithmic automation
Solution Approach 2:
The system incorporates feedback loops that continuously monitor sales data, demand indicators, and market conditions. This feedback mechanism enables the pricing system to learn from past performance and adjust future pricing decisions, improving revenue optimization while maintaining system manageability through automated control
2Ease of operation
If manual pricing decisions are made by promoters and venue representatives, then ease of operation is maintained, but pricing accuracy deteriorates
Solution Approach 1:
The system performs self-service pricing decisions by automatically analyzing demand data, forecasting ticket sales, and generating optimized price recommendations. This eliminates the need for manual intervention in pricing calculations while maintaining operational simplicity through automated decision-making
Solution Approach 2:
The system replaces manual mechanical pricing decisions with automated computational models that process large datasets to determine optimal prices. This substitution improves pricing accuracy through data-driven analysis while maintaining ease of operation through automated execution
3Ease of operation
If section-based pricing is used to simplify venue pricing, then ease of operation is improved, but pricing precision deteriorates
Solution Approach 1:
The system segments the venue into multiple pricing zones based on view quality, accessibility, and demand patterns. This segmentation enables precise pricing for different seat categories while maintaining operational simplicity through automated zone assignment and price application
Solution Approach 2:
The system applies local quality pricing by assigning different price points to specific venue locations based on their unique characteristics. Each zone or seat category receives customized pricing that reflects its specific value proposition, improving precision while maintaining ease of operation through automated localization
4Productivity
If real-time demand analysis is performed to optimize ticket allocation, then productivity is improved, but computational resources required increase
Solution Approach 1:
The system performs partial demand analysis by focusing computational resources on the most critical pricing zones and time periods. Rather than analyzing every possible scenario, the system identifies and processes only the most impactful demand signals, improving ticket allocation efficiency while reducing computational resource consumption
Data Source
AI summary
A system and method for displaying seat inventory at a venue and facilitating planning of ticket prices for events at the venue is presented. Methods to predict total revenue for an event are described. Also presented are systems and methods for determining at what price and when to release so-called ‘flex’ price tickets during an on-sale using the sales velocity and sales/inquiry ratios. Determining demand of seats from secondary markets is also described with methods to use the demand for either re-pricing the seats in the primary market or presenting ‘best value’ seats to a prospective purchaser. Outputted tickets can be used to initiate entry processes to a gate structure of a venue by unlocking the gate structure or denying access through the gate structure of an invalid outputted ticket.