Vehicle Credit Screening Using Operational Data and Payment Feedback
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Solution Overview
Problem
Conventional credit screening systems in the automobile industry are inadequate as they fail to accurately assess individuals' ability to pay, leading to strict assessments and low credit limits for those who can afford vehicles, and do not provide means for determining credibility based on current or future payment capabilities.
Innovation Solution
A credit screening support system that utilizes a vehicle-mounted device to acquire operational information from vehicles, which is then used by a server to compute credit information, including credit limits, and predict income, allowing for a more accurate assessment of creditworthiness and dynamic credit limit adjustments based on operational status and payment history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional credit screening based on past credit information and debt status is used, then credit assessment can be performed, but those with current or future payment ability are incorrectly assessed as low creditworthiness
Solution Approach 1:
The system performs preliminary actions by acquiring operational information from vehicle-mounted devices before making credit decisions. It collects data on vehicle usage, payment status, and operational patterns in advance to build a comprehensive credit profile that reflects current and future payment ability rather than relying solely on historical credit data.
Solution Approach 2:
The patent introduces an intermediary credit information system that bridges the gap between traditional credit screening and actual payment ability. This intermediary system uses operational information from vehicle-mounted devices as a mediator to assess creditworthiness more accurately, combining traditional credit data with real-time operational status and payment behavior.
2Reliability
If strict credit screening criteria are applied to ensure creditworthiness, then delinquency risk is reduced, but credit limits are unnecessarily lowered for capable borrowers
Solution Approach 1:
The system applies dynamics by continuously updating credit assessments based on real-time operational information from vehicle-mounted devices. Credit limits and assessments are not static but dynamically adjusted according to current vehicle usage patterns, payment status, and operational reliability, allowing capable borrowers to receive appropriate credit limits while maintaining risk management.
Solution Approach 2:
The patent implements feedback mechanisms where operational information from vehicle-mounted devices continuously feeds back into the credit assessment system. Payment status, vehicle usage patterns, and operational reliability are monitored and fed back to adjust credit decisions, ensuring that credit limits reflect actual payment ability rather than static historical data.
3Measurement precision
If comprehensive operational information is collected from vehicle-mounted devices, then credit assessment accuracy improves, but system complexity increases
Solution Approach 1:
The system achieves universality by using a multi-functional credit information system that handles multiple data types (operational status, payment information, vehicle usage patterns) through a single integrated platform. The server and vehicle-mounted devices perform multiple functions including data collection, processing, storage, and credit decision-making, reducing the need for separate specialized systems.
Solution Approach 2:
The patent applies self-service by enabling vehicle-mounted devices to automatically collect and transmit operational information without manual intervention. The system self-manages data acquisition from sensors and vehicle systems, automatically processes the information through algorithms, and generates credit assessments without requiring extensive human processing of each data point.
Data Source
AI summary
Credit information is obtained from an operational status of a vehicle, for example, and a credit limit is increased based on this credit information. A credit screening support system includes a vehicle-mounted device configured to acquire operational information on the vehicle and a server configured to compute the credit information on a user of the vehicle based on the operational information received from the vehicle-mounted device. The server includes an input element for inputting the operational information acquired by the vehicle-mounted device, a credit information computing element for computing credit information on the user based on the operational information input by the input element, and an output element for outputting the credit information on the user computed by the credit information computing element.