The Toronto-Dominion Bank

Rajeev Kumar Gandhi

Rakesh Thomas Jethwa

Robert Kyle Miller

John Jong-Suk Lee

Paul Mon-Wah Chan

John Jong Suk Lee

Richard Titus Szvath

Noemi Colmenar-Miranda

William Joseph McLellan

Liliya Kaminskaya

Jennifer Amaral

Milos Dunjic

Arun Victor Jagga

David Samuel Tax

Arthur Carroll Chow

Kushank Rastogi

Armon Rouhani

Maryam Karbasi

Danielle Marie Pinnock

Kamana Tripathi

Julie Anne Cassidy

Ann Cynthia Eapen

Danielle Pinnock

An authorization control network includes a limit profile database and at least one computer server. The server(s) receives an account identifier and a datum from a communications device, and associates the datum with the account identifier in a limit profile record of the limit profile database. The server(s) also receives the account identifier and a transaction limit, and associates the transaction limit with the account identifier in the limit profile record. The server(s) then receives from a POS device an authorization request that includes the account identifier and an authorization amount. If the server(s) confirms that the authorization amount does not exceed the transaction limit that is associated with the account identifier in the limit profile record and does not exceed an available credit limit that is associated with the account identifier, the server(s) transmits to the POS device an authorization response that confirms authorization of the authorization amount.

Authorization control network and method of validating an authorization request

The present disclosure involves systems, software, and computer implemented methods for a remittance system that pre-populates remittance data based on historical usage of remittance transactions. One example system includes operations to generate, using a predictive model, data indicating a predicted likelihood of a user selecting at least one data exchange transaction, wherein the data indicates the predicted likelihood of the user performing the at least one data exchange transaction. A request is received to access a remittance page. In response, the at least one data exchange transaction that was previously generated is selected from a repository of predicted likelihoods. Remittance data associated with a UI element is generated that includes the at least one data exchange transaction. The remittance data is transmitted to the device. An indication from the device is received for interacting with the UI element. The data exchange transaction is executed in response to receiving the indication.

Adaptive remittance learning

An authorization control network includes at least one computer server. The server(s) receives a cardholder credential and a profile modification request from a communications device, and determines an account attribute by querying a profile database with an account identifier. The server(s) rejects the modification request if the server determines from the account attribute that a limit profile associated with the account identifier is linked to a cardholder credential other than the received cardholder credential. The server(s) then receives from a POS device an authorization request that includes the account identifier and an authorization value. If the server(s) determines that the authorization value does not exceed a limit value saved in the limit profile and does not exceed a credit amount associated with the account identifier in a transactions database, the server(s) generates an authorization response confirming authorization of the authorization value, and transmits the authorization response to the POS device.

An authorization control network includes an attribute control server and an authorization server. The attribute control server is configured to receive from a communications device a credential and a modification request that includes an account identifier, determine a cardholder attribute from the credential, determine an account attribute associated with the account identifier in a card profile database, determine that the cardholder attribute matches the account attribute, and transmit the modification request to the authorization server. The authorization server is configured to update a limit value with the account identifier in a limit profile database, receive from a POS device an authorization request that includes the account identifier and an authorization value, determine the limit value associated with the account identifier in the limit profile database, generate an authorization response indicating whether the authorization value exceeds the limit value, and transmit the authorization response to the POS device.

The present application provides monitoring and managing usage of one or more network-connected devices over a network. The network-connected devices may include devices connected to the Internet of Things (IoT). Some aspects provide systems, methods and computing devices for: receiving usage and rate data associated with network-connected device(s); determining device expenditure data based on the usage and rate data; obtaining allocation information pertaining to a time period; updating information associated with one or more data files with the device expenditure data; comparing the updated information to the allocation information; and determining whether an allocation indicated by the allocation information for the time period is feasible.

Methods, systems and devices for monitoring and managing network-connected device usage

A computing device and method for managing an account. A computer displays a historical timeline and an event placement timeline. Past events are shown along the historical timeline, and future events along the event placement timeline. The computer suggest a change to the timing of one of the events. The user moves a movable object to the proposed timing to reschedule the event. The settings of the account are modified to automatically execute that event at the new timing.

Computing device and method for the temporal arrangement of data

A device and method for management of an account. An event placement timeline is displayed. Account events are shown along the timeline. A preferred event time range or 'safe zone' is shown along the timeline. The 'safe zone' is the portion of the month during which it is safe to schedule certain events, like bill payments, with lower risk of NSF, overdraft or the like. The user moves a movable object into the &#x201c;safe zone&#x201d; to reschedule the account event in the &#x201c;safe zone&#x201d;, and the settings of the account are modified to automatically execute the account event at that time.

Growing community of inventors

Toronto, Canada

Rajeev Kumar Gandhi