Abstract: Embodiments include a system providing sensor feedback for property condition monitoring, including: a plurality of sensors disposed in a roof structure of a property; the plurality of sensors providing output indicative of ice formation associated with the roof structure; a hub device that receives output from the plurality of sensors, the hub device detecting at least one sensor output indicative of ice formation and providing a notification regarding the ice formation; a computing device of an insurance carrier that receives the notification, the computing device updating a status of the property in an insurance carrier database in response to the notification; and a communication link between the plurality of sensors, the hub device and the computing device of an insurance carrier. Other aspects are described and claimed.

Abstract: Various embodiments herein each include at least one of systems, devices, methods, and software for automated session closing upon location-sensed departure. Some such embodiments may be implemented at retail outlets (e.g., restaurants, salons, stores, etc.) to automatically charge a customer account for ordered items upon an automated detection of a customer retail outlet departure. One embodiment, in the form of a method performed on a server-based system, includes receiving, via a network from a mobile device associated with a customer account, first data indicating the mobile device has departed a retail outlet. The method then generates, from stored retail session data, a final bill including an amount payable and then charges an amount payable from the final bill to a payment account associated with the customer account.

Abstract: The disclosure relates to systems, methods, and devices for processing payment transactions between a user and a merchant using a messaging bot. In particular, a commerce system allows the user to initiate a communications session with a messaging bot associated with the merchant using natural language. One or more embodiments use natural language processing to analyze messages from the user to the messaging bot, and from the messaging bot to the user, to identify a product and a request to purchase the identified product. Based on the identified product and the request to purchase the product, one or more embodiments initiate a payment transaction on behalf of the user based on a natural language conversation and without redirecting the user away from the communications session. Additionally, one or more implementations provide a payment initiation message from the messaging bot to the user indicating that the payment transaction was initiated.

Abstract: In one embodiment, a server is provided for providing real-time monitoring of spending limits. The server may include memory storing software instructions, and a processor(s) configured to execute the software instructions to perform operations. The operations may include determining that a user has interacted with a store item in a retail environment. The operations may also include accessing a user profile of the user that includes a savings goal of the user, and determining that purchase of the store item would meet at least one trigger condition associated with the savings goal. The operations may further include generating an analysis of the estimated impact of the purchase to the savings goal, and providing the analysis to a device for display to the user while the user remains within the retail environment.

Abstract: Systems and methods for processing an image using machine learning are provided. The system includes a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device; extracting one or more features from the image; determining a make and a model of the vehicle based on the extracted features and using a machine learning algorithm. The operations also include: obtaining user information relating to a financing request for the vehicle; determining and transmitting to the client device a real-time quote for the vehicle based on the make, the model, and the user information.

Abstract: Systems and methods for processing an image using machine learning are provided. The system includes a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: determining a location of the client device; receiving an image of a vehicle from the client device; matching, using a machine learning algorithm, the image to one or more images of vehicles in a database. The operations also include: retrieving vehicle information based on the matched one or more images; obtaining user information relating to a financing request for the vehicle; determining and transmitting to the client device a real-time quote for the vehicle based on the vehicle information and user information.

Abstract: Methods, systems and computer-readable storage media are provided for controlling operation of a trading algorithm based on operating condition rules. Certain embodiments provide a method including determining, using a computing device, an approval of use of a trading algorithm by monitoring for an occurrence of an operating condition defined in an operating condition rule. The example method includes determining if the trading algorithm complies with the operating condition rule during the occurrence of the operating condition. The example method includes sending, using the computing device, a notification to a trading instrument to approve or not approve the use of the trading algorithm. The trading algorithm is to be used to implement a trading strategy.

Abstract: In one embodiment, a mobile device includes an NFC tag for near field communication. The NFC tag may include a first storage device and a second storage device. Personal data is stored on the first storage device, which is not accessible by a NFC reader device. Prior to a transaction, the personal data is transmitted from the first storage device to the second storage device, where the data is readable or accessible by the reader device. After transmission of the data to the reader device, the data on the second storage is erased. In one embodiment, the data remains stored in the first storage device and available for future use. In another embodiment, the data comprises financial product data.

Abstract: The present disclosure relates to systems, methods, and computer readable media for processing an image including a vehicle using machine learning. The systems can include determining a location of the client device. The systems can further include receiving a first image of a vehicle from an image sensor of the client device and matching, using machine learning, the first image to one or more images of vehicles in a vehicle database to identify the vehicle. The vehicle database can list vehicles located at the determined location of the client device and images of the vehicles. The systems can include retrieving vehicle information from the vehicle database, based on the identified vehicle, and obtaining comparison information based at least in part on the vehicle information. The systems can include estimating a quote for the vehicle based on the comparison information and transmitting the estimated quote for display on the client device.

Abstract: System and methods for pre-marshalling messages in an electronic trading environment are provided. Specifically, pre-marshalling messages allows for client and network devices to create messages in response to a defined first condition. Pre-marshalling messages allows a trading system to do more processing up front before the message is needed and when a second condition is satisfied. Thus, when the message is needed no further or very little processing must be performed to generate and send the message. The client and/or network device may allocate a separate, unused, or under-utilized processing thread to the task of creating pre-marshalled messages. Pre-marshalled messages may be stored in memory at the network device until it is determined that the second condition has been satisfied. Once a pre-marshalled message is sent, the unused pre-marshalled messages that were stored in memory may be deleted or may be overwritten with newly pre-marshalled messages.

Abstract: Aspects of the invention are directed to methods and systems for efficiently communicating data between an insurer and a non-referral repair shop, e.g., vehicle repair shops that are normally not preapproved by the insurer to perform the estimating and repair work. The methods and systems described herein are particularly useful for insurers utilizing non-referral repair shops for servicing vehicles involved in insurance claims. According to aspects of this invention, the insured may be able to select a non-referral repair shop, not delegated or preapproved by the insurer, thereby generally allowing the insured to select any available vehicle repair shop.

Abstract: A system may be configured to initiate a presentation of a user interface to the user; receive, via the user interface, a user selection of a life event; initiate a presentation of an event information user interface to the user; receive, via the event information user interface, life event information associated with the life event selected by the user; retrieve information associated with the life event selected by the user from substantially similar life events; calculate, in real-time, a life event score associated with the life event selected by the user, wherein the life event score is calculated based on at least a retirement score, the received life event information and the information retrieved from the substantially similar life events; and illustrate, via a retirement score interface in a user device, the retirement score and an impact of the at least one life event selected by the user.

Abstract: A method, system, and apparatus for facilitating a payment transaction is disclosed. A server receives an event-setup request from an event organizer to set up an event-based payment session to obtain payments for one or more attendees of a subsequent event. In response to receiving the event set-up request: the server sets up the event-based payment session in accordance with the event-setup request; and provides a payment invitation corresponding to the payment session to each of one or more invitees of the subsequent event in accordance with the event-setup request. The server then receives from at least a first invitee of the one or more invitees, a conditional acceptance to the payment invitation, the acceptance being conditioned on one or more predefined criteria.

Abstract: A system and method may automatically create auto insurance policy quotes using data obtained by processing an image of a vehicle information sticker. An image of a vehicle information sticker may be received and analyzed using optical character recognition or some other method. The data acquired from the image can be used to identify a particular vehicle, and retrieve data corresponding to the particular vehicle. The customer data, vehicle data, and other data can be used to calculate an insurance policy quote. The created quotes can then be presented to a user for purchase.

Abstract: A computer-implemented system and method receive information regarding a funds transfer from a payor to a payee. The information is received by a depository computer system. The depository computer system forwards the information regarding the funds transfer to an account verification service computer system. The depository receives an indication of a real time account status of an account of the payor. The account status information is received from a paying bank computer system that maintains the account of the payor via the account verification service computer system. Release of the funds to the payee is authorized based on the account status information received via the account verification service computer system. The authorization occurs in real time relative to when the funds transfer information is initially received.

Abstract: An insurance lead marketplace may include an insurance lead marketplace computing device that includes a non-transitory memory device and/or a processor. The non-transitory memory device may be configured for storing one or more rules for qualifying and/or categorizing insurance leads based on at least one insurance characteristic. The processor may be configured to provide insurance leads that were received from an insurance lead source to a requesting agent, to determine a quality associated with and/or categorize each insurance lead based on one or more characteristics of the received insurance leads, to present the insurance leads to an insurance agent based on one or more selected lead characteristics and/or lead tiers, and/or to determine information associated with an actual quality of each insurance lead based upon feedback received from the agent and revise rules for qualifying and/or categorizing the insurance leads using the actual quality of the insurance leads.

Abstract: Described is a method for updating a first computer memory of a first transaction engine that processes transactions of a first topic and a second computer memory of a second transaction engine that processes transactions of a second topic different from the first topic but the transactions involving or updating a common factor. After the first transaction engine processes the transaction, it notifies a separate process affiliated or associated with each of the remaining transaction engines of the execution of the transaction. Each such associated process updates a local shared memory that it shares with the respective transaction engine. A memory master may also be notified of the transactions and their completion and the memory master may maintain state information. In a stock market or other electronically-implemented exchange or bourse context, the transactions may be orders for matching engines in an order book.

Abstract: A system for processing an image including a vehicle using machine learning can include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.

Abstract: Systems and methods are disclosed which match or otherwise allocate an incoming transaction with previously received but not yet fully satisfied transactions counter thereto as well as to mitigation of disparities in latencies between the client devices of the market participants and the electronic data transaction processing system which may result in disparities in the time of receipt of competing transactions. The disclosed embodiments may mitigate such disparities by buffering or otherwise grouping temporally proximate competing transactions together upon receipt, e.g. into a group, collection, set, bucket, etc.

Abstract: Multi-dimensional temporal data can provide insight into patterns, trends and correlations. Traditional 2D-charts are widely used to support domain analysts' work, but are limited to present large-scale complicated data intuitively and do not allow further exploration to gain insight. A visual analytics system and method which supports interactive analysis of multi-dimensional temporal data, incorporating the idea of a novel visualization method is provided. The system extends the ability of mapping techniques by visualizing domain data based on a 3D geometry enhanced by color, motion and sound. It allows a compact universal overview of large-scale data and drilling down for further exploration. By customizable visualization, it can be adapted to different data models and applied to multiple domains. It helps analysts interact directly with large-scale data, gain insight into the data, and make better decisions.