Abstract: A system includes a parts prediction model module. The parts prediction model module causes the system to, based on information obtained via a network interface and indicative of damage to a specific vehicle, filter vehicle parts data to obtain filtered vehicle parts data that is indicative of a subset of a plurality of parts that were utilized to repair a subset of a plurality of vehicles. The parts prediction model module further causes the system to obtain an indication of at least one specific part determined as being needed to repair the damage to the specific vehicle, and analyze the filtered vehicle parts data to determine one or more recommended parts based on the indication. Still further, the parts prediction model module causes an indication of the one or more recommended parts to be transmitted to at least one of a remote computing device or a user interface.

Abstract: Techniques for determining or predicting re-inspection of a vehicle insurance claim are disclosed. The probability of an occurrence of a re-inspection of a claim (e.g., a re-inspection score) is determined by using a predictive re-inspection model generated based on a data analysis of historical claim data from a plurality of sources. The re-inspection score may be determined prior to a repair facility initially reviewing the claim or viewing the damage to the vehicle, e.g., at FNOL. Inputs to the predictive re-inspection model may include a settlement estimate, and optionally one or more other claim attributes that are strongly correlated to re-inspection. Other re-inspection information may be additionally or alternatively predicted by using the predictive re-inspection model. Candidate claims for re-inspection may be identified by ranking re-inspection scores and/or other re-inspection information.

Abstract: A vehicle image capture and labeling system operates to enable a user to capture vehicle photos, pictures, and/or images that are automatically labeled, i.e., annotated. In particular, the captured vehicle photos, pictures, or images are automatically labeled with certain vehicle identifier information, like a vehicle identification number (VIN), and pose information, that identifies a portion or view of the vehicle depicted within the image of the vehicle. The vehicle images may also be automatically labeled with one or more other image attributes or indicia, such as geospatial information corresponding to a location at which the photo or image was captured (e.g., global positioning system (GPS) data), time and date of image capture data, etc. The captured vehicle image and its label(s) may then be stored and used by other applications such as vehicle insurance claim applications, automobile repair estimate applications, etc.

Abstract: Disclosed are methods and apparatus for using black box data to analyze vehicular accidents. The methods include obtaining information from an event data recorder associated with a vehicle and using the data obtained therefrom in determining and analyzing the vehicular accident. Attributes to be analyzed include impact severity, change in velocity, and other desired parameters. Further disclosed are methods to securely communicate the downloaded black box information to a secure location for later analysis and processing.

Abstract: A system for preparing vehicle repair estimates and sourcing parts for vehicles includes a processor, a display in communication with the processor, and an input device in communication with the processor. The display is configured to display information generated by the processor, while the input device is configured to receive inputs from a user and transmit the inputs to the processor. The processor is configured to identify records in a first electronic database that relate to a particular vehicle, identify records in a second {or multiple} electronic database relating to a source of parts for the particular vehicle, display a repair estimate illustrating recommended parts and part sources on the display, and receive user input identifying parts other than recommended, or identifying a different source for a recommended part, and automatically updating the estimate and notification of guideline exceptions.

Abstract: Disclosed are methods and apparatus for using black box data to analyze vehicular accidents. The methods include obtaining information from an event data recorder associated with a vehicle and using the data obtained therefrom in determining and analyzing the vehicular accident. Attributes to be analyzed include impact severity, change in velocity, and other desired parameters. Further disclosed are methods to securely communicate the downloaded black box information to a secure location for later analysis and processing.

Abstract: A system and method for performing insurance claim reinspections is disclosed. The system includes an insurance company computer in communication with a communications server, at least one remote terminal in communication with the communications server, and an insurance claim workfile having a loss estimate section, an appraisal section and a reinspection section. The method includes the steps of providing an insurance claim profile and exception priority information, comparing an estimate in an insurance workfile to the insurance claim profile, and generating exception indicators based on the comparison.

Abstract: A system and method for managing and processing insurance claims is provided that implements an object oriented graphic user interface. The system includes at least one remote computer for entering and viewing insurance claim information. A wide area network capable of communicating with the remote computer and a computer in communication with said wide area network are also included. An insurance datafile, generated at said remote computer, is transferrable over the network. The method includes the steps of transmitting a claim assignment from an insurance office computer to a mailbox in a communications server, retrieving the assignment at a remote computer and generating an insurance claim datafile containing all data pertinent to an insurance claim and allowing for bidirectional transmission of the datafile over a wide area network. A graphic user interface for use in managing an insurance claim from an initial claim to final settlement is also included.

Abstract: A communications network for processing insurance claims of objects. The communications network including claim terminals and repair terminals, each having a processor, a display monitor, and a mass storage device, for inputting and sending object-identification data, parts graphics images, and images from the claims terminals to the repair terminals through a communications channel. The repair terminals compute repair and replacement estimates and send the estimates to the claim terminal. The object-identification data include information stored in digital form for a multiplicity of objects. The sum of the costs for repairing an object or a part of an object versus the cost for replacing the object or the part of a object is compared. An imaging device may be used for capturing an electronic image in digital form of the damaged object.

Abstract: A computer system including a processor, a display monitor and a mass storage device serving as a main memory for storing digital data. The digital data include information stored in digital form for a multiplicity of vehicles. A data base is provided of a plurality of groups of parts, a plurality of associated parts graphics, and a plurality of costs for repairing the parts and for replacing groups of parts. The method and apparatus include inputting vehicle-identification data of a damaged vehicle to the processor. The display monitor displays a list of groups of parts for the damaged vehicle. In response to selecting a particular group of parts, a parts description from the data base of the first group of parts is then displayed. A parts graphic may be displayed from the list of groups of parts, along with costs data including parts costs, repair time and painting time. The method and apparatus compare the sum of the costs for repairing a part of a vehicle versus the cost for replacing a part of a vehicle.