Visual FNOL uses SmartPhoto and SmartVideo technologies to collect evidence, assess damage and provide an estimate of the repair costs associated with handling a vehicle claim.
Visual FNOL Management
Visual Damage Detection
After the first claim notification (FNOL), the insured or an expert can collect and send evidence of damage autonomously or guided, aided by Bdeo's Visual Intelligence engine.
Via SMS and without the need to install apps
Customizable evidence collection flow
Scheduling appointments with the insured
API for integrations with third parties
Guided image capture system with templates and Artificial Intelligence
High-quality images analyzed by AI
Multiple call and interactive panel for evidence collection
Using Artificial Intelligence, the damage is analyzed and weighted down to the last detail: type, location, severity and even the extent of the damaged surface.
Geolocation with GPS coordinates
Management panel for efficient analysis of evidence
Detection of the make and model of the vehicle, damaged surface, type of damage and its severity
VIN and license plate detection, capture and decoding via OCR
With this assessment, Bdeo allows the insurer to easily determine whether to offer a compensation proposal based on the damage detected, conduct a remote assessment, or send an expert to inspect the vehicle.
Recommendation of the most optimal solution in terms of cost, time and effort
Smart rules for deciding which items should be repaired and which should be replaced
Notification management automation
More accessible and ordered notifications automatically for better management
Simplification of key processes
Thanks to its technology, Bdeo facilitates the procedures to follow in the notification of a claim
Improvement in the digital experience of the insured
The insured will subscribe or solve a claim easily and without long waits.
Verification of the integrity of the evidence through geolocation.
For all parties whether they are insured, expert or brokerage.