Abstract: Systems and methods for providing notifications regarding a shared account may include a computing system which receives a request to form a shared account. The computing system may generate the shared account and a corresponding first model, transmit one or more messages, generate links between accounts and the shared account and second model(s) corresponding to second member(s). The computing system may receive a first input indicating a selection to initiate an inbound transfer, transmit a notification according to the first and second model(s), and receive a second input indicating a selection to initiate a matching inbound transfer.

Abstract: A computer-implemented method includes: generating a GUI including a first button selectable to register identity information and a second button selectable to request identity information; receiving, in response to the first button being selected, pieces of identity information regarding a customer; receiving a preference for each piece of identity information from the customer that governs distribution of identity information to requesting parties; generating a customer-specific key; provisioning the key to an identification chip of a customer computing device; transmitting the graphical user interface to a computing device of a requesting party other than the customer; receiving, in response to the second button being selected, the key, a request for identity information, and an identity of the requesting party; identifying the customer based on the key; determining that a preference for the requested piece of identity information is met; and providing the requested piece of identity information to the req

Abstract: Systems and methods for shared accounts may include a computing system which receives a request to form a shared account. The computing system may generate the shared account, transmit message(s) to second user device(s), generate link(s) between second accounts and the shared account, and establish a value associated with the shared account. The computing system may receive a selection to initiate a transfer, detect that the value satisfies a threshold criteria, identify an eligible member, and initiate a transfer based on a response from the eligible member.

Abstract: Systems and methods of determining real-time available capacity of a merchant are provided. A plurality of financial transactions involving the merchant can be received during a current time period. A current payment velocity of the financial transactions involving the merchant during the current time period can be determined. The current payment velocity can be compared with a baseline payment velocity associated with financial transactions involving the merchant during a corresponding historical time period. An available capacity of the merchant can be determined, based on a difference between the current payment velocity and the baseline payment velocity.

Abstract: Systems and techniques for social responsibility load balancer are described herein. First user data for a first user and second user data for a second user is obtained. The first user data is aggregated into a first dataset and the second user data is aggregated into a second dataset. The first dataset and the second dataset are evaluated using a responsibility prediction learning model to determine a set of responsibilities. A target responsibility delta is calculated. The set of responsibilities are processed using a responsibility balancing algorithm to sort the set of responsibilities into the first responsibility assignments and the second responsibility assignments. A current delta is calculated between the first responsibility assignments and the second responsibility assignments. It is determined that the current delta is equal to the target responsibility delta. A user interface is generated to output the first responsibility assignments and the second responsibility assignments.

Abstract: A method comprises predicting a preferred funds transfer method of a payee based on payee data, generating a token based on the predicted preferred funds transfer method where the token is decodable to identify the predicted preferred funds transfer method and the payee, and initiating, in response to an input from the payee, an electronic funds transfer from a payer to the payee.

Abstract: A method for using an autonomous vehicle includes receiving one or more user preferences for use of the autonomous vehicle. A destination is received for a trip using the autonomous vehicle. An arrival time is received for when the trip needs to be completed. A determination is made as to whether the user preferences includes a preference for physical activity for the trip. One or more routes are provided for the trip to the destination that permits the trip to be completed by the arrival time and that implements at least one of the user preferences. At least one of the routes comprises a hybrid route including one segment in which a physical activity selected by the user is suggested for traversing a distance of the one segment and another segment using the autonomous vehicle.

Abstract: A method for using an autonomous vehicle includes receiving one or more user preferences for use of the autonomous vehicle. A destination is received for a trip using the autonomous vehicle. An arrival time is received for when the trip needs to be completed. A determination is made as to whether the user preferences includes a preference for physical activity for the trip. One or more routes are provided for the trip to the destination that permits the trip to be completed by the arrival time and that implements at least one of the user preferences. At least one of the routes comprises a hybrid route including one segment in which a physical activity selected by the user is suggested for traversing a distance of the one segment and another segment using the autonomous vehicle.

Abstract: Systems and methods for predicting and making payments via preferred payment methods include predicting a preferred funds transfer method of a payee, generating a token based on the predicted preferred funds transfer method, providing the token to a payee device, receiving an input from the payee device indicating an agreement with the predicted preferred funds transfer method, and initiating, in response to the input, an electronic funds transfer from a source account of the payer to the payee.

Abstract: A method comprising: receiving, from an augmented reality (AR) device, visual data representing a view through a viewing area of the AR device; determining, based on the visual data, a product identifier associated with the visual data; generating recommendation data based on the product identifier, comprising: discovering an item and a timeline associated with purchasing the item; comparing a user defined budget, a price of the item, purchase data associated with a purchase of an object included in the visual data, and an account of the user to determine an affordability value, wherein the affordability value indicates whether the purchase of the object prevents the user from purchasing the item in accordance with the timeline and the budget; and generating the recommendation data based on the affordability value; and sending the recommendation data to the AR device to cause the AR device to display the recommendation data.

Abstract: Customization of sharing of rides can involve the grouping of passengers in vehicles according to objective and subjective parameters and preferences. In some embodiments, vehicles or other components of the system are equipped to identify and compare information about users of the system using biometric scanning. In some embodiments, fares for rideshares can be tied to a projected quality or desirability of the rideshare for a user or users of the system.

Abstract: Examples described herein relate to apparatuses and methods of providing real-time notifications on affordability and advisability of purchasing goods or services using augmented reality. The method includes receiving, from AR device associated with a user, visual data representing a view through a viewing area of the AR device. The visual data comprises geolocation data indicating a geolocation of the AR device. The method includes identifying an image of an object included in the visual data. The method includes determining, based on the visual data, a product identifier associated with the object. The method includes determining an attempt by the user to purchase the object. The method includes generating, in response to determining the attempt, recommendation data based on the product identifier and an account associated with the user. The method includes sending the recommendation data to the AR device to cause the AR device to display the recommendation data to the user.

Abstract: Systems and methods for facilitating optimization of documents based on prior interactions according to one or more example embodiments are shown. Such systems and methods make use of analyzing information obtained from financial institution computing system as well as other third party networks. Such systems and methods also make use of analyzing information stored from previous interactions with documents (e.g., financial disclosures). In some embodiments, this analysis of data allows for documents, such as disclosure documents, to emphasize features or sections that are of particular interest to the individual receiving the document. Information associated with one or more sections of a disclosure document may be pushed to account holders based on a disclosure associated event.

Abstract: Systems and methods for predicting and making payments via preferred payment methods include predicting a preferred funds transfer method of a payee, generating a token based on the predicted preferred funds transfer method, providing the token to a payee device, receiving an input from the payee device indicating an agreement with the predicted preferred funds transfer method, and initiating, in response to the input, an electronic funds transfer from a source account of the payer to the payee.

Abstract: A user device includes a display, a camera, and an application. The application is structured to: receive first image data of a first user from a first input of the camera; receive second image data of a second user from a second input of the camera; receive a payment amount of a bill; detect a location of the first user; determine a recommended division of the payment amount of the bill based on the first user, the second user, and the location; receive a first value of the payment amount owed by the first user and a second value of the payment amount owed by the second user; and initiate a transfer of funds from a first user account associated with the first user based on the first value and from a second user account associated with the second user based on the second value.

Abstract: Purchasing, maintaining, and deriving revenue from mobile autonomous units is facilitated by providing a mobile autonomous unit marketplace in which equity shares in mobile autonomous units can be bought, sold and traded. Valuation of mobile autonomous units within the marketplace can be a function of a variety of factors such as the mobile autonomous unit's primary geographic region, and the number, diversity, and time management of revenue streams available to the mobile autonomous units.

Abstract: Purchasing, maintaining, and deriving revenue from mobile autonomous units is facilitated by providing a mobile autonomous unit marketplace in which equity shares in mobile autonomous units can be bought, sold and traded. Valuation of mobile autonomous units within the marketplace can be a function of a variety of factors such as the mobile autonomous unit’s primary geographic region, and the number, diversity, and time management of revenue streams available to the mobile autonomous units.

Abstract: Systems and methods for predicting and making payments via preferred payment methods include determining an amount that a payer owes a payee, predicting a preferred funds transfer method of the payee, providing a notification to a payee device associated with the payee, receiving a user input from the payee device indicating an agreement with the preferred funds transfer method, and initiating, in response to the user input, a funds transfer from a source account of the payer to the payee. Predicting a preferred funds transfer method of the payee can include performing data analytics on at least one data source associated with the payee, such as a smart digital wallet, a social network account, a smart appliance, a financial account, a financial transaction, a shopping list, and a geographic location, etc. In some embodiments, predicting a preferred funds transfer method of the payee includes rerouting the payment to downstream payees.

Abstract: A user device includes a touchscreen, a camera, and a client application. The client application is structured to provide a first view of a first user through a first camera input of the camera device, a first user image displayed on the display, provide a second view of a second user through a second camera input of the camera device, a second user image displayed on the display, receive a transaction amount, detect a slide of a user input member from the first user image to the second user image displayed on the touchscreen, and in response to detecting the slide of the user input member from the first user image to the second user image on the touchscreen, initiate a transfer of funds from a first user account associated with the first user to a second user account associated with the second user equal to the transaction amount.

Abstract: According to one example arrangement, a computer implemented method performed by a computing system, includes identifying a user device associated with a user. Authentication information regarding the user indicative of use of the user device is captured. A confidence level for the user is dynamically adjusted based on the authentication information. The confidence level is responsive to the use of the user device by the user.