Abstract: A device may determine that a user has a threshold level of interest in a type of product. The device may receive an image of a face of the user, may perform a facial recognition analysis of the image, and may determine identification information of the user based on the facial recognition analysis. The device may identify account information associated with the user based on the identification information and may identify a product in an inventory that is associated with the type of product. The device may perform a preauthorization process associated with a transaction involving the product and the user based on the account information, and may perform an action associated with the transaction based on the preauthorization process.

Abstract: An enhanced analytical engine system may perform the steps of providing optimized individual transaction recommendations. The system may receive a request comprising customer financial information, customer identification information, and vehicle identification information. The system may collect information associated with one or more vehicles within an inventory listing associated with one or more dealership systems. The system may then provide data representing information associated with the one or more vehicles within an inventory listing associated with the one or more dealership systems. The system may receive data indicating selection of a vehicle of interest. The system may determine a proposed offer package for the vehicle of interest comprising an associated overall price and at least one from among a warranty option, maintenance option, and service contract option based on the customer preferences information and historical transaction data.

Abstract: A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

Abstract: Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.

Abstract: An enhanced analytical engine system may perform the steps of providing optimized individual transaction recommendations. The system may receive a request comprising customer financial information, customer identification information, and vehicle identification information. The system may collect information associated with one or more vehicles within an inventory listing associated with one or more dealership systems. The system may then provide data representing information associated with the one or more vehicles within an inventory listing associated with the one or more dealership systems. The system may receive data indicating selection of a vehicle of interest. The system may determine a proposed offer package for the vehicle of interest comprising an associated overall price and at least one from among a warranty option, maintenance option, and service contract option based on the customer preferences information and historical transaction data.

Abstract: Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.

Abstract: Aspects discussed herein may relate to methods and techniques for automatically generating a test drive schedule for a user based on known inventory, user preferences, demographic information, employee availability, and other factors, as well as detecting conflicts and rescheduling test drives in response to those conflicts. This may allow for easier access to test drives for the consumer, which may promote more test drives and higher resultant sales, as well as allowing for rescheduling in advance of conflicts, which may reduce lost consumers due to test drives that were conflicted.

Abstract: A device may determine that a user has a threshold level of interest in a type of product. The device may receive an image of a face of the user, may perform a facial recognition analysis of the image, and may determine identification information of the user based on the facial recognition analysis. The device may identify account information associated with the user based on the identification information and may identify a product in an inventory that is associated with the type of product. The device may perform a preauthorization process associated with a transaction involving the product and the user based on the account information, and may perform an action associated with the transaction based on the preauthorization process.

Abstract: A device receives vehicle data associated with vehicles located at a vehicle dealership lot, and receives, from a user device, profile data identifying a user of the user device and data identifying a particular vehicle of the vehicles. The device compares the data identifying the particular vehicle and the vehicle data to determine particular vehicle data associated with the particular vehicle, and processes the particular vehicle data and the profile data of the user, with a first model, to determine purchase options for the particular vehicle and the user. The device provides, to the user device, the particular vehicle data and the purchase options for the particular vehicle to cause the user device to display the particular vehicle data and the purchase options for the particular vehicle.

Abstract: Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.

Abstract: A device may determine that a user has a threshold level of interest in a type of product. The device may receive an image of a face of the user, may perform a facial recognition analysis of the image, and may determine identification information of the user based on the facial recognition analysis. The device may identify account information associated with the user based on the identification information and may identify a product in an inventory that is associated with the type of product. The device may perform a preauthorization process associated with a transaction involving the product and the user based on the account information, and may perform an action associated with the transaction based on the preauthorization process.

Abstract: Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.

Abstract: A device receives vehicle data associated with vehicles located at a vehicle dealership lot, and receives, from a user device, profile data identifying a user of the user device and data identifying a particular vehicle of the vehicles. The device compares the data identifying the particular vehicle and the vehicle data to determine particular vehicle data associated with the particular vehicle, and processes the particular vehicle data and the profile data of the user, with a first model, to determine purchase options for the particular vehicle and the user. The device provides, to the user device, the particular vehicle data and the purchase options for the particular vehicle to cause the user device to display the particular vehicle data and the purchase options for the particular vehicle.

Abstract: A device receives, from a user device, a request to prune a primary database, and receives primary database information associated with the primary database and secondary database information associated with a secondary database that is different than the primary database. The device processes the primary database information and the secondary database information, with a machine learning model, to generate suggested pruning parameters, and provides the suggested pruning parameters to the user device. The device receives selected pruning parameters from the user device, where the selected pruning parameters are selected from the suggested pruning parameters or are input via the user device. The device removes pruned information from the primary database based on the selected pruning parameters, and provides the pruned information to the secondary database based on the selected pruning parameters.

Abstract: Systems and methods are provided for depicting information about a vehicle in augmented reality. An exemplary method may include determining identification information of a vehicle based on input received from a client device and obtaining, from an information source, vehicle information based on the identification information. The method may also include analyzing the vehicle information using an artificial intelligence engine and extracting vehicle history data from the vehicle information based on the analysis. The method may also include identifying a portion of the vehicle associated with the vehicle history data and providing instructions, based on the vehicle history data, to an augmented reality-enabled device to superimpose an indicator on a visual representation of the vehicle at a location corresponding to the portion of the vehicle.

Abstract: An enhanced analytical engine system may perform the steps of providing optimized individual transaction recommendations. The system may receive a request comprising customer financial information, customer identification information, and vehicle identification information. The system may collect information associated with one or more vehicles within an inventory listing associated with one or more dealership systems. The system may then provide data representing information associated with the one or more vehicles within an inventory listing associated with the one or more dealership systems. The system may receive data indicating selection of a vehicle of interest. The system may determine a proposed offer package for the vehicle of interest comprising an associated overall price and at least one from among a warranty option, maintenance option, and service contract option based on the customer preferences information and historical transaction data.

Abstract: A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

Abstract: An enhanced analytical engine system may perform the steps of providing optimized individual transaction recommendations. The system may receive a request comprising customer financial information, customer identification information, and vehicle identification information. The system may collect information associated with one or more vehicles within an inventory listing associated with one or more dealership systems. The system may then provide data representing information associated with the one or more vehicles within an inventory listing associated with the one or more dealership systems. The system may receive data indicating selection of a vehicle of interest. The system may determine a proposed offer package for the vehicle of interest comprising an associated overall price and at least one from among a warranty option, maintenance option, and service contract option based on the customer preferences information and historical transaction data.

Abstract: A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

Abstract: Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.