Used Car Transaction Brokering System with AI Valuation
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Solution Overview
Problem
Current used car transaction methods face inefficiencies due to the asymmetry of information between sellers and buyers, with sellers having difficulty determining market prices and buyers lacking accurate information about the car's condition, leading to inconvenient offline processes and limited online pricing estimates.
Innovation Solution
A used car transaction brokering system and method that acquires unique information, appearance images, and position data from sellers, uses servers to determine market prices and maintenance costs, and transmits proper prices to sellers, allowing for comparison of offers from multiple buying companies within a preset distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sellers individually meet face to face with several used car dealers for negotiation, then the car can be sold to the dealer offering the highest price, but the process becomes inconvenient and time-consuming
Solution Approach 1:
The patent introduces an automated valuation system and multiple buying companies as intermediaries between sellers and dealers. The system automatically determines reference prices using AI algorithms and collects bids from multiple buying companies simultaneously, eliminating the need for sellers to personally negotiate with each dealer while maintaining transaction reliability through automated price verification and comparison.
Solution Approach 2:
The patent creates virtual copies of the car valuation process through automated systems. Instead of physical face-to-face negotiations, the system uses digital replicas of the car (through photos and AI analysis) to generate price estimates and facilitate transactions, significantly reducing the time sellers need to spend while maintaining accurate pricing through multiple independent valuations.
2Productivity
If sellers upload car images and register on transaction sites, then multiple dealers can check the car condition and place bids, but information asymmetry remains between sellers and buyers
Solution Approach 1:
The patent applies local quality by providing different levels of information transparency to different parties. The AI valuation system analyzes car images locally to generate detailed condition assessments that are then used to create standardized price references visible to all participants. This localized analysis at the image level ensures that both sellers and buyers receive accurate, objective information about car condition, reducing information asymmetry while maintaining high transaction efficiency through automated processing.
Solution Approach 2:
The system implements feedback mechanisms where AI algorithms continuously analyze car images and provide reference prices to both sellers and buying companies. This feedback loop ensures that all parties have access to objective, data-driven valuations, reducing information asymmetry. The system also provides feedback to sellers about their car's condition and market value, enabling informed decision-making while maintaining efficient automated transaction processes.
3Ease of operation
If buyers estimate car prices without knowing exact condition, then transactions can proceed online, but accurate pricing becomes difficult
Solution Approach 1:
The patent replaces manual price estimation with AI-based automated valuation systems. Instead of buyers manually estimating prices based on limited information, the system uses computer vision algorithms to analyze car images and generate accurate price references. This substitution maintains the convenience of online transactions while dramatically improving price estimation accuracy through objective, data-driven analysis of car condition.
Solution Approach 2:
The system changes the parameters used for price estimation from subjective buyer judgments to objective AI-analyzed features. By transforming the valuation process to rely on quantifiable parameters extracted from car images (such as damage extent, model specifications, and condition metrics), the system enables accurate online pricing without requiring buyers to physically inspect vehicles, thus maintaining ease of operation while improving measurement precision.
Data Source
AI summary
A used car transaction brokering system and a method thereof, enable presenting the best transaction to both a seller and a buyer. Upon receiving disapproval of a purchase price and a request to receive estimate prices to be compared with each other from a seller terminal, the transaction brokering system and method transmit characteristics information and an appearance image of a used car to a plurality of buying company terminals located within a preset distance from a position of the used car. The transaction brokering system and method transmit the estimated prices respectively received from the plurality of buying company terminals to the seller terminal.