Abstract: Methods, systems, and computer-readable media consistent with the present disclosure manage multiple telephone calls by managing a session record associated with the call, amending the session record according to a plurality of rules to reflect a plurality of instructed actions, evaluating an amended session record to derive at least one of the plurality of instructed actions, and implementing a derived instructed action on the call under the control of an automated apparatus.

Abstract: A method, medium, and apparatus for allowing evaluation of property, such as damaged property, remotely and efficiently. A mobile computing device at the location of the property may be used to transmit video of the property to an adjuster, and to receive video and audio communications from the adjuster. The adjuster may be selected from a queue based on time waiting in the queue and/or a number of other statistics and attributes of the adjuster. The adjuster may converse with an owner of the property and capture video of the property in order to make an appraisal or determine the infeasibility of remote appraisal and the need to instruct another adjuster to perform a physical inspection.

Abstract: Intelligent disturbance detection systems and methods of use to capture a disturbance via an application tool on a mobile smart device remote from the user, extract features from the disturbance, compare the extracted features to disturbance labels of a disturbance set in a comparison by a disturbance detection neural network model of the application tool, generate a disturbance label when the extracted features match the disturbance label in the comparison, train the model to generate a custom disturbance label associated with the extracted features when the extracted features do not match the one or more disturbance labels in the comparison, and generate an automatic alert via the mobile smart device to transmit an identification of the disturbance to the user based on the disturbance label, the custom disturbance label, or combinations thereof.

Abstract: Aspects of the disclosure generally relate to monitoring and/or sensing of one or more home devices from one or more homes. In particular, various aspects described herein relate to receiving data from one or more sensors associated with one or more home devices from one or more homes and using the data to determine insurance rates or premiums, discounts, incentives, and the like. Further, aspects of the disclosure relate to computer hardware and software. In particular, one or more aspects of the disclosure relate to the connected home or smart home market (i.e. connected devices and systems within or related to the home) which is rapidly evolving and growing.

Abstract: Methods, computer-readable media, systems, and/or apparatuses for evaluating movement data to identify a user as a driver or non-driver passenger are provided. In some examples, movement data may be received from a mobile device of a user. The movement data may include sensor data including location data, such as global positioning system (GPS) data, accelerometer and/or gyroscope data, and the like. Additional data may be retrieved from one or more other sources. For instance, additional data such as usage of applications on the mobile device, public transportation schedules and routes, image data, vehicle operation data, and the like, may be received and analyzed with the movement data to determine whether the user of the mobile device was a driver or non-driver passenger of the vehicle. Based on the determination, the data may be deleted in some examples or may be further processed to generate one or more outputs.

Abstract: Systems and apparatuses for identifying a type of issue associated with a stopped vehicle are provided. The system may determine a current location of the vehicle and determine whether the vehicle is currently located on a highway. In some examples, the determined location of the vehicle may cause the system to transmit instructions controlling an amount or type of data collected by sensors and/or transmitted to the system. If the vehicle is on a highway, the system may then determine whether the vehicle is stopped. If so, the system may determine a reason for the vehicle stopping. Upon determining that the vehicle is stopped for an urgent reason, the system may transmit a request for roadside assistance to a service provider computing device and may generate a first type of notification. Upon determining that the vehicle is stopped for a non-urgent situation reason, the system may generate and transmit a second type of notification for display.

Abstract: Disclosed herein is a traveling-based insurance rating system comprising a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a passenger of the vehicle, and a server computer comprising hardware, including a processor and memory. The server computer may receive driving data of a driver of the vehicle from the one or more sensors via the telematics device. The server computer may then identify one or more values of the driving data to be within one or more predetermined ranges and classify the driving data as a trip of the passenger. Based on the driving data from the trip, the server computer may determine one or more driving behaviors of the driver, calculate an insurance rating for the passenger of the vehicle based on the one or more driving behaviors of the driver, and transmit the insurance rating to the mobile device.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods are provided for retrieving insurance information of an insurance customer at a mobile device. An insurance information token may be affixed to a vehicle and scanned by an optical input device of the mobile device. The optical input device may thus obtain optical input corresponding to the insurance information token. The insurance information of the insurance customer may be retrieved based on the optical input and presented at a display device of the mobile device upon retrieval. The mobile device may also provide a message to an insurance system indicating that the insurance information token was scanned. Telematics information may also be analyzed in response to receipt of the message to determine whether to automatically create an insurance claim for the customer.

Abstract: System, apparatuses, computer-implemented methods, and computer-readable media executable by insurance system servers and user computing devices for receiving requests for insurance products are provided. In order to determine one or more factors of the insurance product or policy, the system may use body characteristics of the customer or potential customer, such as height, weight, body mass index, and the like. In some examples, this information may be determined from one or more images provided by the user. For instance, one or more images of the customer or potential customer may be captured and transmitted to the system for processing. Based on the received images, the system may determine various body characteristics of the user and may use that information to determine one or more policy factors for the insurance product or policy, such as premium, coverage, term, type of policy, or the like.

Abstract: Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for an autonomous vehicle and instruct the autonomous vehicle to travel to the recommended parking location are provided. Data may be received from a plurality of sensors within a first autonomous vehicle, as well as from other vehicles and/or structures. Historical parking data associated with the first autonomous vehicle may also be extracted. In some examples, an expected future trip of the first autonomous vehicle may be determined. The system may then evaluate the data to generate a parking recommendation for the first autonomous vehicle. The system may generate and transmit instructions for traveling from a current location to the recommended parking location and may cause the first autonomous vehicle to travel to the recommended parking location.

Abstract: A system comprising a telematics device associated with a vehicle, a first computing device, a second computing device associated with a driver of the vehicle, and a server is disclosed. The server may be configured to receive maintenance data from the telematics device, determine a repair for the vehicle based on the maintenance data, send a request to the first computing device for the repair to be performed by one or more service providers, estimate a period of time for performing the repair, assign an alternative form of transportation to be provided to the driver during the estimated period of time, and send, to the second computing device, one or more notifications regarding at least one of the repair to be performed by the one or more service providers, the estimated period of time for the repair, or the assigned alternative transportation to be provided to the driver.

Abstract: Methods, computer-readable media, software, and apparatuses may retrieve, from an industry standard setting scoring system and for a vulnerability, a temporal score based on a pre-revision version of a scoring system, and predict, based on a machine learning model and based on the temporal score for the vulnerability, an updated temporal score based on a post-revision version of the scoring system. A mitigating factor score, indicative of a mitigation applied to the vulnerability by an enterprise organization, may be determined. A risk score may be generated for each vulnerability, as a composite of the updated temporal score and the mitigating factor score. The risk scores for vulnerabilities in a collection of vulnerabilities may be aggregated to determine an enterprise risk score for the enterprise organization. In some instances, the enterprise risk score may be displayed via a graphical user interface.

Abstract: Methods, computer-readable media, software, and system may generally identify, determine, and understand the significance of commute location data using telematics data. The system and methods may identify significant commute location data and points by analyzing telematics data and capturing GPS locations associated with the mobility of a user. The commute location data may be classified as data points including origin, destination, and waypoints. This commute location data may be used with metadata to identify significant locations associated with the user. The commute location data may also be used with metadata to understand mobility behavior of the user. Lastly, the commute location data may be used with metadata to determine risk associated with the user, such as based on a risk map.

Abstract: A system for a predictive claims computing platform may comprise a plurality of vehicles, a computing device associated with a repair facility, a network, and a server. The server may be configured to determine an insurance coverage type needed for repairing each vehicle in the plurality of vehicles, identify a location of the repair facility for repairing each vehicle, assign a standard amount to reimburse the repair facility for repairing each vehicle based on insurance coverage type and the location of the repair facility, transmit the standard amount to the computing device associated with the repair facility, receive from the computing device, a cost for actual repair of each vehicle after the actual repair for each vehicle has been completed, and adjust the standard amount to reimburse the repair facility for future repairs based on identifying a difference between the standard amount and the actual repair cost for each vehicle.

Abstract: Systems and methods can use a variety of computing devices to obtain location data that can be used to generate a prediction of a likelihood that a person will move his or her residence. The location data can be generated based on location data captured from a mobile computing device and/or based on telematics data captured during the operation of a vehicle and/or from a computing device. The location data may be compiled into graphs comprising locations of visited by the person and relationships between the locations visited by the person, such as instances of the person traveling between the two locations. The likelihood to change residence can be determined based on the amount of time the person spent at a given location, the distance between the various locations that are the most significant in the graph, and/or the frequency of visits to particular locations.

Abstract: Systems and methods for deployment of a protective component, generation of a customized design for the protective component, or combinations thereof are associated with a structure comprising a portion, a neural network model, processor(s), and memory storing machine readable instructions. When executed for deployment, the neural network model predicts the likelihood of the occurrence of the natural event in the geographic area within the time frame as high as defined by when the likelihood is above a threshold, and deploys the protective component for protecting the portion of the structure when the likelihood is high. For customized design, the neural network model is used to access dimension and weather data associated with a structure and weather data to generate the customized design of the protective component for the structure.

Abstract: A driving analysis server may be configured to receive vehicle operation data from mobile devices respectively disposed within the vehicles, and may use the data to group the vehicles into multiple groups. A driving pattern for each vehicle may be established and compared against a group driving pattern of its corresponding group to identify outliers. A driver score the outliers may be adjusted positively or negatively based on whether the outlier behaved in a manner more or less safe than its group. Further, unsafe driving events performed by the outlier that were the result of another vehicle’s unsafe driving event may be ignored or positively accounted for in determining or adjusting the outlier’s driver score.

Abstract: A system including a computing device may receive base map information, including attribute information associated with a plurality of road segments, and trip request information. Based on this information, a route for the user to travel may be determined. The system might further calculate a risk score for each road segment forming the route, and generate a risk map based on the risk score and the route. The risk map may then be displayed to a user. The risk map may include markers or other objects depicting potential risks along the route the driver may face. Also, the risk map may be updated based on information collected from a sensor coupled to the vehicle or located at the road segment to reflect actual, real-time risk scores calculated using an equation for providing a risk score for a particular driver driving a particular vehicle on a particular road segment.

Abstract: A system including a processor and memory may provide for automated support communications, such as communications with individuals who need assistance. Automated communications may use one or more factors to determine how to adjust communications according to the needs of a user. For example, automated communications may be adjusted based on, e.g., a keyword used by a user in the user's communications, or a location associated with the user's mobile device or user vehicle. Automated communications may be adjusted in timing, frequency, or content. One or more external events (e.g., phone call, dispatch request, additional automated communication) may be triggered based on the automated communications.