Auto Finance
Utilizing IoT data analysis technology to effectively reduce credit risk and asset
losses for financial institutions.
losses for financial institutions.
Solution Overview - Auto Finance
Using intelligent terminals as communication entry points to collect vehicle operating status, enabling analysis and remote control of the usage status of mortgaged or financed vehicles, and enhancing the risk control capabilities and asset recovery efficiency of financial institutions.
Pain Point
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Lack of Risk Control CapabilityThe borrower borrowed under a false identity, and the car loan company lacked effective judgment. -
Difficulty in Overdue CollectionLack of technical intervention after default, high towing costs, long cycles, and low asset recovery efficiency. -
Difficulty in Valuing Second-Hand CarsLack of real and continuous vehicle operation data affects the accuracy of residual value assessment. -
Inaccurate Car PositioningThe positioning obtained during the towing process is not timely and lacks efficient solutions.
Technical Architecture
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Solution Value
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Value 01Reduce Default LossesSupport remote fuel cutoff and rapid location tracking to enhance collection efficiency and asset recovery rates. -
Value 02Enhance Risk Control CapabilitiesIntegrate terminal data for precise pre-loan assessments, dynamic in-loan monitoring, and post-loan risk alerts. -
Value 03Optimize Residual Value AssessmentProvide credible basis for used vehicle disposal, maximizing asset liquidation value. -
Value 04Reduce Labor CostsAutomated monitoring replaces manual inspections and collection personnel, lowering operational and management expenses.