Dynamic Reverse Auction Matching for Vehicle Sales
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Solution Overview
Problem
Current systems for vehicle sales, particularly online platforms, face challenges in efficiently matching buyers with dealerships, leading to higher transaction costs, reduced inventory turnover, and decreased consumer savings due to asymmetric information and inefficient pricing mechanisms, which deter buyers and increase dealership costs.
Innovation Solution
A reverse auction system that allows buyers to submit bids anonymously, with dealerships inputting their absolute lowest prices, and a dynamic matching process that ranks bids based on distance and price differences, ensuring buyers pay the lowest price while dealerships maintain pricing control, facilitating quick inventory turnover.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional auction or reverse auction systems are used for vehicle sales, then buyers can potentially find lower prices, but the matching process between buyers and dealerships becomes complex and inefficient
Solution Approach 1:
The patent introduces an online platform as an intermediary that connects buyers and dealerships. The platform receives bids from buyers and offers from dealerships, then uses algorithms to match them based on multiple criteria including price, distance, and inventory status. This intermediary system resolves the asymmetric information problem by centralizing data collection and processing, while managing the matching complexity through structured algorithms rather than direct buyer-dealer negotiations.
Solution Approach 2:
The system transforms the matching process by changing multiple parameters simultaneously: it considers not just price but also geographic distance, inventory availability, and bid timing. The patent uses weighted scoring or ranking algorithms that evaluate bids and offers across these multiple dimensions, converting a complex multi-parameter optimization problem into a systematic matching process that balances various competing factors.
2Loss of information
If buyers travel to multiple dealerships to compare prices, then they can find better deals, but transaction costs and time consumption increase significantly
Solution Approach 1:
The patent replaces the mechanical system of physical travel between buyers and dealerships with an electronic information system. Buyers submit bids online, dealerships submit offers online, and the platform performs automated matching. This substitution eliminates the need for buyers to physically visit multiple dealerships while maintaining price comparison functionality, dramatically reducing time loss and transaction costs associated with travel and in-person negotiations.
3Productivity
If dealerships offer lower prices to attract buyers, then sales volume increases, but profit margins decrease
Solution Approach 1:
The patent implements a dynamic pricing and matching system where dealership offers and buyer bids are continuously adjusted based on market conditions, inventory levels, and competition. Rather than fixed low prices, the system allows dealerships to submit varied offers that reflect their specific inventory costs, urgency to sell, and profit requirements. The automated matching process dynamically pairs these offers with appropriate bids, enabling inventory turnover without uniformly compressing profit margins across all transactions.
Data Source
AI summary
The present invention is directed towards systems and methods for matching buyers to dealers of the same type of vehicle. Buyer bids are ranked based on receipt time. Buyers specify a search radius corresponding to dealers. Dealer offers correspond to an acceptable amount for the vehicle. A high price is computed for each vehicle from dealers relative to buyers based on dealer offers and MSRP. A final price is computed for each vehicle based on dealer offers, the search radius, and the high price. Final prices are ranked based on the distance from buyer to dealer and the buyer bid dealer offer difference. The match is based on the highest rank final price for the corresponding dealer to an earliest received buyer bid that has not been matched if the vehicle offered by the corresponding dealer is available.