AI Vehicle Offer Platform for Real-Time Used Value Search
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Solution Overview
Problem
Computer-implemented access to vehicle data across markets is fragmented and difficult to keep up-to-date, leading to cumbersome and costly searches for users interested in purchasing used vehicles, consuming user time and computing resources, and relying on outdated data.
Innovation Solution
An AI-powered vehicle offer platform that provides real-time vehicle value information through a predictive machine learning model and generative AI tools, enabling accurate and instant offers based on national, regional, and local considerations, with features like dealer personality analysis and personalized marketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users perform searches across multiple dealer websites to access vehicle data, then they can find available vehicles, but the process consumes excessive user time and computing resources
Solution Approach 1:
The patent consolidates multiple dealer website searches into a single unified search interface. The system aggregates vehicle data from multiple dealers and presents it through one platform, eliminating the need for users to manually search across numerous separate websites. This merging approach directly reduces the time and computational resources users would otherwise spend performing multiple separate searches.
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between users and multiple dealer websites. This intermediary automatically performs searches across dealer networks, filters results, and presents consolidated information to users. By positioning this intermediary layer, the system shields users from the complexity of multiple dealer sites while providing comprehensive vehicle data access.
2Loss of information
If users perform searches across multiple dealer websites, then they can find available vehicles, but the process is cumbersome and cost-prohibitive
Solution Approach 1:
The patent merges multiple complex dealer search operations into a single simplified user interface. Users interact with one unified system rather than navigating multiple dealer websites, significantly improving ease of operation. The consolidation maintains comprehensive vehicle data access while reducing operational complexity.
Solution Approach 2:
The patent segments the complex multi-dealer search process into distinct automated components: data collection from dealers, result filtering, and presentation to users. This segmentation allows the system to handle the complexity internally while presenting a simple interface to users, improving ease of operation without sacrificing comprehensiveness.
3Reliability
If dealer websites store vehicle data locally, then dealers maintain control over their inventory information, but the data becomes fragmented and difficult to keep up-to-date
Solution Approach 1:
The patent implements a feedback mechanism where the unified system continuously monitors and updates vehicle data from multiple dealer sources. The system establishes automated data synchronization that feeds updated inventory information back to the central platform, ensuring data remains current and accurate while maintaining accessibility across the network.
Solution Approach 2:
The patent performs preliminary data collection and validation from dealer sources before consolidating information. By proactively gathering and verifying data in advance, the system ensures accuracy is maintained while improving accessibility. This preliminary action prevents data fragmentation issues by standardizing information before integration.
Data Source
AI summary
Systems and methods for generating offers relating to predictive vehicle value data. A system has an offer platform, implemented on at least one processor, configured to output predictive used vehicle data to a subscriber. A database is configured to store transaction data relating to used vehicle transactions. The offer platform includes an engine having a dealer predictive machine learning (ML) tool and generative AI tool. A builder and algorithm is configured to generate and manage an interface that enables a user to segment data. A computer-implemented method for generating offers is provided that includes storing transaction data in a database, and generating, with an offer platform implemented on at least one processor, a predictive used vehicle data for output to a subscriber.