Budget-Aware Multi-Item Auction Allocation System
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Solution Overview
Problem
Current multi-item auction systems fail to effectively incorporate bidder budgets, leading to reduced competition and lower revenues due to the risk of exceeding budget constraints, and existing designs are computationally complex and prone to collusive behavior.
Innovation Solution
A budget-augmented assignment exchange and auction system that allows bidders to specify budgets, enabling bids without exceeding them, by using a server-based system that allocates lots to maximize total money value subject to constraints, thereby encouraging higher bids and efficient auction outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bidders participate in multi-item auctions without budget constraints, then competition and revenues increase, but bidders risk exceeding their authorized budgets
Solution Approach 1:
The system requires bidders to specify budget constraints in advance before the auction begins. These pre-stated budgets are used by the allocation system to determine feasible bid combinations, preventing bidders from exceeding their authorized spending limits while still allowing them to compete effectively for multiple items.
Solution Approach 2:
The patent modifies the traditional auction parameter space by adding budget constraint parameters to the bid structure. Instead of bids being independent of budget limits, the system integrates budget parameters into the allocation optimization problem, changing how bids are evaluated and assigned while maintaining competitive efficiency.
2Productivity
If the auction system incorporates budget constraints and optimization algorithms, then bidder competition improves, but computational complexity increases
Solution Approach 1:
The system replaces complex iterative auction processes with a direct optimization approach using linear programming. Instead of using complex iterative mechanisms to handle budget constraints, the patent uses standard linear programming techniques to efficiently determine optimal allocations, simplifying the computational requirements while maintaining high bidder competition.
Solution Approach 2:
The patent transforms the auction computation into a parameter optimization problem by expressing bid selections as variables in a linear programming framework. This parameterization approach converts complex strategic decision-making into a systematic optimization problem that can be solved efficiently with standard algorithms, reducing computational complexity.
3Ease of manufacture
If existing auction designs are used without budget integration, then implementation is simpler, but bidders cannot effectively compete for multiple items due to budget limits
Solution Approach 1:
The system creates a universal allocation mechanism that handles multiple items and budget constraints simultaneously through a single linear programming framework. This multi-functional approach allows the same algorithm to manage diverse auction scenarios with different numbers of items, bidders, and budget levels, maintaining implementation simplicity while enabling comprehensive bidder participation.
Solution Approach 2:
The patent introduces an intermediary optimization layer between bidders and the allocation process. This intermediary linear programming system acts as a mediator that translates bidder preferences and budget constraints into optimal allocations, simplifying the overall implementation while enabling bidders to effectively compete for multiple items within their budget limits.
Data Source
AI summary
Systems and methods for conducting multi-item auctions for complex goods that allows bidders to specify budget constraints is disclosed. The system includes a server, a network, a plurality of trader systems and a data store unit. The system allows bidders to work effectively with limited budgets. The server includes an allocation unit performs a sealed-bid auction that enables bidding without the risk of going over budget, and thus, the present invention encourages bidders to place more and higher bids. Sellers will therefore receive higher prices and goods are more likely to be efficiently assigned.