Hybrid MVR Ordering Platform for Cost Optimization
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Solution Overview
Problem
The high cost and inefficiency of ordering Motor Vehicle Records (MVRs) from various state departments and third-party vendors, coupled with the time-consuming process of determining the availability of driving history information, pose a significant challenge for enterprises processing large volumes of potential customers.
Innovation Solution
An enterprise platform that integrates an internal business MVR model with third-party vendor models, using a hybrid approach to decide whether to purchase MVRs from state departments or third-party vendors, and automatically transmits requests based on business rules and logic, including cost comparisons and predicted payback values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an enterprise orders MVRs for every potential customer from state departments, then complete driving history information is obtained, but the cost increases significantly (millions of dollars per year for large enterprises)
Solution Approach 1:
The patent introduces a hybrid ordering system that acts as an intermediary between enterprises and MVR sources. This system evaluates multiple factors including third-party vendor availability, state DMV cost structures, and predictive models to determine the optimal ordering strategy, thereby reducing unnecessary direct DMV orders while maintaining information completeness
Solution Approach 2:
The system dynamically changes the parameter of MVR ordering decisions based on multiple variables including customer risk profiles, state-specific cost variations, third-party vendor data availability, and predictive analytics results, transitioning from a static 'order for everyone' approach to a dynamic, optimized decision-making process
2Loss of energy
If third-party vendor information is used instead of state DMV records, then costs are reduced, but the availability and reliability of driving history information may be insufficient
Solution Approach 1:
The patent implements a dynamic evaluation framework that assesses third-party vendor reliability and data completeness on a case-by-case basis, adjusting the ordering strategy in real-time based on vendor performance, data quality metrics, and customer-specific requirements rather than using a fixed approach
Solution Approach 2:
The system segments the MVR information acquisition process into multiple pathways: relying on third-party vendors when appropriate, ordering from state DMVs when necessary, and using hybrid approaches when needed, allowing optimized cost-effective solutions for different customer scenarios
3Loss of energy
If the enterprise determines whether third-party vendor information is available before ordering MVRs, then costs are reduced, but the process becomes time-consuming especially with multiple vendors and substantial number of customers
Solution Approach 1:
The patent implements preliminary actions by pre-evaluating third-party vendor capabilities, data availability, and reliability metrics before the actual MVR ordering decision is needed. This advance preparation enables rapid decision-making during customer processing without time-consuming vendor availability checks at the point of order
Solution Approach 2:
The hybrid ordering system performs self-service by automatically evaluating vendor availability, comparing costs, assessing data quality, and making ordering decisions without requiring manual intervention, thereby reducing both time and cost while maintaining accuracy
4Loss of energy
If a hybrid approach combining internal models and third-party vendor models is used to decide MVR ordering, then cost efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent creates a universal hybrid ordering system that handles multiple functions including third-party vendor evaluation, state DMV cost analysis, predictive modeling, and automated decision-making within a single integrated platform, reducing the need for separate systems for each function
Data Source
AI summary
An enterprise platform may receive information about a potential customer, the enterprise platform including an internal business Motor Vehicle Record (“MVR”) model. A vendor hub service may be in communication with a plurality of third party vendor platforms, at least one including a third party MVR model. The enterprise platform may apply business rules and logic to determine that: (i) the internal business MVR model will decide if an MVR will be purchased from an appropriate department of motor vehicles, (ii) the third party MVR model will decide if an MVR will be purchased, or (iii) a hybrid application of the models will decide if an MVR will be purchased. An MVR report ordering platform may transmit an MVR report request to a service in accordance with the enterprise platform business rules and logic decision and applicable model results.