Abstract: The method, system, and non-transitory computer-readable medium embodiments described herein are directed to alerting a user of a physical pickup point. In various embodiments, a server receives a request to be completed by one or more Automated Teller Machines (ATMs) located at a first location. The server may be in communication with the ATMs at the first location and a sensor device at the first location. The server receives an alert generated by the sensor device at the first location that the user device is proximate the first location. Next, the server identifies one or more ATMs in a state to complete the request based on a parameter associated with the request. Next, the server transmits an identifier of the at least one ATM of the one or more ATMs that will be used to complete the request to the user device and instructs the at least one ATM to complete the request.

Abstract: Disclosed embodiments may include a system that may receive an indication that a user is accessing an ATM, receive, from the ATM, average session duration data over a predetermined period, generate, using a machine learning model, a busyness score for the ATM based on the average session duration data over the predetermined period, and determine whether the busyness score for the ATM exceeds a busyness score threshold. When the busyness score for the ATM does not exceed the busyness score threshold, the system may cause the ATM to present, via a first graphical user interface, a default ATM experience. When the busyness score for the ATM exceeds the busyness score threshold, the system may cause the ATM to present via, a second graphical user interface, a busy ATM experience.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for resolving automated teller machine (ATM) errors. For instance, the method may include receiving error information indicative of the error; collecting interaction information, including user information and terminal information, related to the interaction at the terminal; and generating a claim that includes an identification of the claim, the error information, and the interaction information. The method may further include transmitting an indication of the claim to a device associated with the person; analyzing the claim by using a risk exposure model; and selecting, using the analysis of the claim, an exposure value for the claim. The method may continue to determining, based at least in part on the exposure value, whether a claim restitution should be completed; and transmitting, to the device associated with the person, the determination of whether the claim restitution should be completed.