Capital One Services, LLC

Zhe Liu

Jeremy J Phillips

Kurry Lu Tran

Hannah Volfson

Edward Abbott

Daniel Filler

Jeremy Rephlo

Catherine Bousquet

Wenjie Liu

Daniel Gomez Seidel

Oliver Deighton

Melvin Johnson

Wenjie (Jessica) Liu

Mobile electronic device having a display screen with a graphical user interface

A device may receive transaction data indicating that a transaction occurred. The transaction may be between a first user of a first device and a second user of a second device. The device may receive, from the first device, first sensor data indicating a first location recorded by a first sensor of the first device at a first point in time associated with the transaction; and receive, from the second device, second sensor data indicating a second location recorded by a second sensor of the second device at a second point in time associated with the transaction. Based on the transaction data, the first sensor data, and/or the second sensor data, the device may determine whether the transaction occurred and perform an action based on the determination of whether the transaction occurred.

Transaction confirmation and authentication based on device sensor data

A device may receive, from automated teller machine (ATM) devices, information related to a capability of each of the ATM devices to provide cash, or a fee to be charged by each of the ATM devices in association with providing the cash. The device may receive, from a user device, a request to identify an ATM device of the ATM devices. The device may determine scores for the ATM devices based on the information related to the capability of the one of the ATM devices or the fee to be charged by the one of the ATM devices. The device may determine a rank for the ATM devices based on the scores for the ATM devices. The device may provide, to the user device and based on the rank, information identifying the ATM device or one or more other ATM devices of the ATM devices.

Aggregation of automated teller machine (ATM) device-related information and/or factor-based selection of an ATM device

An example includes one or more devices may include one or more memories and one or more processors, communicatively coupled with at least one of the one or more memories, to identify a service that is provided within a region; identify a model that is associated with the service, the model having been trained based on consumer profile data, service provider data, and historical information; determine a current demand associated with the service in the region; predict, using the model and based on the current demand associated with the service, a future demand for the service during a time period; determine a current capacity to provide the service based on real-time service provider information associated with service providers that are providing the service in the region; and perform an action associated with the service based on the future demand for the service and the current capacity to provide the service.

Allocation of service provider resources based on a capacity to provide the service

In some implementations, a user device may present, on a user interface, an arc-shaped user interface element. The user device may detect a user interaction that indicates a first point on the arc-shaped user interface element. The user device may present, on the user interface, a first arc portion of the arc. The first arc portion may represent a first amount, of a total amount, to be associated with a first user account. A second arc portion may represent a second amount, of the total amount, associated with the second user account. The user device may transmit, to an account management device, information that identifies the first amount, of the total amount, to be associated with the first user account.

Presentation and control of user interaction with an arc-shaped user interface element

An example device may include one or more processors to receive a request for a service from a requestor user device; provide transaction information associated with the service to a provider user device, where the transaction information may include location information corresponding to a location at which the service may be provided; obtain verification information from the requestor user device based on an interaction associated with the requestor user device or the provider user device at the location, where the verification information may include one or more characteristics of the requestor user device; generate a verification token based on the one or more characteristics of the requestor user device; and provide the verification information to the provider user device to permit the provider user device to verify the requestor user device, based on receiving the verification information and obtaining the verification token from the requestor user device.

Customer identification verification process

A device may obtain a first image depicting contents included in a secure storage container at a first point in time and first user account data associated with the secure storage container. The device may store the first image in a data structure associated with the first user account data. In addition, the device may receive data indicating that an individual associated with a second user account accessed the secure storage container, and receive a second image depicting contents included in the secure storage container at a second point in time. The second image may be stored in the data structure. The device may further receive, from a user device associated with the first user account data, a request to access the data structure, and the device may provide, to the user device, data that causes display of the second image.

Providing virtual and physical access to secure storage container

Embodiments disclosed herein provide for analyzing cryptocurrency-related information using artificial intelligence. The system and methods provide for: a credibility analysis engine configured to determine the credibility of the cryptocurrency-related information; an artificial intelligence engine configured to predict a cryptocurrency market trend based on the credibility of the cryptocurrency-related information; and a processor is configured to generate and execute a personalized trading decision based on the predicted cryptocurrency market trend.

System and method for analyzing credibility of cryptocurrency-related information

A device may receive information related to a first plurality of individuals and an individual. Each of the first plurality of individuals may be associated with a respective one or more accounts. The device may receive a request to match the individual and one or more individuals. The device may determine a match of the individual and the one or more individuals based on the information. The device may receive, from a user device associated with the individual, a selection of an account, of the respective one or more accounts, associated with another individual of the first plurality of individuals. The device may provide, for display to the other individual, a notification that the individual and the other individual have been matched and that the individual selected the account associated with the other individual. The device may perform one or more actions related to completing the transaction using the account.

Real-time processing of requests related to facilitating use of an account

A device may receive a request for a product. Based on the request, the device may determine a geographic location and delivery time for delivery of the product, and the device may identify product locations that are capable of providing the product and located near the geographic location. The device may determine, for each of the product locations and based on the product and at least one product location characteristic, a fulfillment time indicating when the product will be prepared for delivery. In addition, the device may identify at least one potential courier capable of transporting the product. Based on the fulfillment time, the delivery time, the geographic location for delivery, and at least one courier characteristic associated with the potential courier, the device may select a particular product location and a particular courier and perform an action based on the particular product location or the particular courier.

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McLean, VA, United States of America

Zhe Liu