Capital One Services, LLC

Catherine Bousquet

Jeremy J Phillips

Zhe Liu

Andrew Grossman

Nitiben Sheth

Various embodiments are generally directed to techniques utilizing computers to determine one or more locations for a customer to pickup a product based on a trained models. Embodiments may also include generating a code that may be utilized to obtain the product and perform a verification operation.

Computing techniques to predict locations to obtain products utilizing machine-learning

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

Systems and methods for determining an optimal delivery location based on delivery address and delivery time are provided. An example method includes receiving an online order from a user application installed on a user device; generating a map comprising a dynamic display of a local service area polygon associated with the online order and transmitting the map to the user application; transmitting to the user application a request for a delivery address; upon receipt of the delivery address, querying the delivery address to determine whether the local service area polygon includes the delivery address; transmitting to the user application a request for a delivery time; upon receipt of the delivery time, automatically recommending an optimal delivery location and time within the local service area polygon based on the delivery address and delivery time; and executing a delivery of the online order based on the optimal delivery location and time.

Systems and methods for determining an optimal local service location based on delivery address and time

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; provide the verification token to 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, in connection with performance of the service, based on receiving the verification information and obtaining the verification token from the requestor user device.

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New York, NY, United States of America

Catherine Bousquet