Abstract: Methods and systems are described herein for a navigation system that may be coupled with an object transport vehicle. The navigation system may obtain a list of objects that need to be collected and determine locations of these objects within the indoor environment. In addition, the navigation system may determine locations of other object transport vehicles and may then generate a path for the object transport vehicle so that the object transport vehicle is able to collect the objects in the list and also avoid congested parts of the indoor environment.

Abstract: Embodiments disclosed are directed to a computing system that performs operations for streamlining user interaction in a user evaluation process. The computing system receives, at a first time, a request to update an account balance of a user account with a differential amount. The computing system determines a source of the request. The computing system generates a priority level for the request based on the determined source of the request. The computing system processes the request based on the generated priority level. The computing system generates a risk model associated with the user account based on electronic information associated with the user account. The computing system determines a supplemental amount associated with the user account based on the generated risk model. The computing system determines whether the differential amount is less than or equal to the supplemental amount.

Abstract: Disclosed herein are system, method, and computer program product embodiments for authenticating a user at a kiosk device based on a unique token received by a client device to verify that an identity of the user is authentic, and further permit the user to access an account at the kiosk device. The unique token can be generated responsive to receiving an electronic notification that a card to access the kiosk device associated with the account has been reported lost or stolen. The unique token can be transmitted to the client device associated with the account and the user. The user can be authenticated when the unique token is received from the kiosk device responsive to input data provided by the user. Once authenticated, the user can access the account at the kiosk device.

Abstract: Systems and methods of data replication via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: utilizing a trained replication machine learning model to identify an existing object in the bucket for replication, and a commencing time to replicate the existing object, the commencing time determined based on replication failure predicted by the replication machine learning model; capturing, in response to identifying the existing object for replication, a snapshot of the bucket, the snapshot comprising information related to at least one of: the existing object, metadata of the existing object, and/or an access control list (ACL) of the existing object; and replicating the existing object to a destination cloud according to the determined commencing time, the destination cloud being hosted at a cross-region storage.

Abstract: An automated method is provided for validating an action based on beacon source proximity to a user device. A user data processing device receives from a remote action validation server an action validation request. The request includes identification of an authentication device comprising a beacon transmitter and identification of a proposed action associated with the authentication device. The user data processing device determines whether the authentication device is within beacon signal reception range of the user data processing device and transmits an action validation response to the remote action validation processing system.

Abstract: In order to enable check-cashing transactions, systems and methods are disclosed including receiving, by a computing device, from an application executed on a mobile device, an activity data for an activity of a user. The computing device receives, from the mobile device, a first user identifying data from the user. The computing device determines a first activity string and a second activity string based on a first activity instruction. The computing device receives a third activity string from an activity-performing device. The computing device performs a second security activity with the third activity string and the first activity string. The computing device instructs the activity-performing device to perform a second activity based on the second security activity and a second activity instruction. The computing device instructs the application executed on the mobile device to modify the activity data entry of the activity based on the second activity instruction.