Matthew P Carroll

US Patent:

20220414624, Dec 29, 2022

Filed:

Aug 31, 2022

Appl. No.:

17/900416

Inventors:

- Charlotte NC, US
Matthew E. Carroll - Charlotte NC, US

International Classification:

G06Q 20/10
G06N 20/00
G06F 9/50

Abstract:

Aspects of the disclosure relate to systems for processing transactions between two entities. A transaction control platform may determine attributes associated with different transfer channels between the two entities. Based on the determined attributes, the transaction control platform may determine a transfer channel to be used for transmitting a message corresponding to the transaction. The transaction control platform may use machine learning algorithms to identify an optimal transfer channel that meets particular desired factors.

US Patent:

20220407737, Dec 22, 2022

Filed:

Jun 17, 2021

Appl. No.:

17/350923

Inventors:

- Charlotte NC, US
Matthew Edward Carroll - Charlotte NC, US

International Classification:

H04L 12/28

Abstract:

An apparatus for determining individual consumption for a plurality of users through computer network monitoring. The apparatus comprises a memory and a processor. The processor is configured to receive data from one or more smart devices associated with a first user and a second user through data streaming between the one or more smart devices and a server. The processor is further configured to determine that a first home associated with the first user and a second home associated with a second user are located within a distance threshold from each other based, at least in part, on geolocation information. The processor is further configured to determine that the first user and the second user are comparable peers. The processor is further configured to determine that an individual consumption of one of the comparable peers is greater than an average total consumption and to transmit an alert.

US Patent:

20210295286, Sep 23, 2021

Filed:

Mar 17, 2020

Appl. No.:

16/821117

Inventors:

- Charlotte NC, US
Matthew E. Carroll - Charlotte NC, US

International Classification:

G06Q 20/10
G06F 9/50
G06N 20/00

Abstract:

Aspects of the disclosure relate to systems for processing transactions between two entities. A transaction control platform may determine attributes associated with different transfer channels between the two entities. Based on the determined attributes, the transaction control platform may determine a transfer channel to be used for transmitting a message corresponding to the transaction. The transaction control platform may use machine learning algorithms to identify an optimal transfer channel that meets particular desired factors.

US Patent:

20210295293, Sep 23, 2021

Filed:

Mar 17, 2020

Appl. No.:

16/821214

Inventors:

- Charlotte NC, US
Matthew E. Carroll - Charlotte NC, US

International Classification:

G06Q 20/16
G06Q 20/10
H04L 12/721

Abstract:

Aspects of the disclosure relate to systems for processing transactions between two entities. A transaction control platform may determine attributes associated with different transfer channels between the two entities. Based on the determined attributes, the transaction control platform may determine a transfer channel to be used for transmitting a message corresponding to the transaction. The transaction control platform may use machine learning algorithms to identify an optimal transfer channel that meets particular desired factors.

US Patent:

20210209534, Jul 8, 2021

Filed:

Jan 7, 2020

Appl. No.:

16/736141

Inventors:

- Charlotte NC, US
Matthew E. Carroll - Charlotte NC, US

International Classification:

G06Q 10/06
G06Q 10/08
G06Q 30/06
G06N 20/00

Abstract:

Arrangements for providing multi-channel tracking and control are provided. In some examples, a request for a quantity of product may be received. The request may be processed and the order transmitted to a destination. During shipping, tracking of the order may be performed to determine whether an order has arrived at a destination. In some examples, quality data may be captured at the destination to determine whether a portion of the order was damaged or destroyed during shipping. In some arrangements, upon detecting delivery of the order the system may generate one or more instructions to update an inventory of the requesting entity based on delivery of the order. In some examples, machine learning may be used to predict when an entity may submit a subsequent request for product, a recommended amount of product, and the like. This information may be transmitted to a requesting entity to simplify future processing requests.

US Patent:

20210209618, Jul 8, 2021

Filed:

Jan 7, 2020

Appl. No.:

16/736159

Inventors:

- Charlotte NC, US
Matthew E. Carroll - Charlotte NC, US

International Classification:

G06Q 30/02
G06N 20/00

Abstract:

Arrangements for synchronously tracking and controlling events across multiple computer systems are provided. In some examples, a user may register with a system and user data may be received. In some arrangements, historical data associated with the user may also be received. Machine learning may be used to analyze the historical data and/or user data and a first recommendation for an item may be generated and transmitted to the user. Upon receiving acceptance of the recommendation, the system may request data from one or more entities. For instance, entity data associated with current inventory, availability of items, layout of locations, and the like, may be received. Based on the received data, a list of items for capture and/or an item capture route may be generated. In some examples, the item capture route may include step-by-step or map-based instructions to capture the items on the list.

US Patent:

20210133703, May 6, 2021

Filed:

Nov 4, 2019

Appl. No.:

16/673392

Inventors:

- Charlotte NC, US
Riaz H. Bhamani - Waxhaw NC, US
Matthew Edward Carroll - Charlotte NC, US

Assignee:

BANK OF AMERICA CORPORATION - Charlotte NC

International Classification:

G06Q 20/08
G06Q 30/06
G06K 7/14

Abstract:

A direct interaction network in which resources are more efficiently transferred between entities having resource pools with the same organization. The interaction network may be implemented by transforming a user computer system into the interaction terminal for the interaction such that the provider entity does not require interaction terminals to enter into interactions. Alternatively, the interaction network may be entered through interaction terminals of the provider entity without the user having a user computer system and without the user providing a physical instrument for the interaction. These implementations may be possible due at least in part to being able to determine that the entity resource pools are administered by the same organization. Furthermore, one or more sensors may be utilized with the user computer system and/or interaction terminals in order to determine the presence or identity of a user, and/or the subject of the interaction.

US Patent:

20210133718, May 6, 2021

Filed:

Nov 4, 2019

Appl. No.:

16/673402

Inventors:

- Charlotte NC, US
Riaz H. Bhamani - Waxhaw NC, US
Matthew Edward Carroll - Charlotte NC, US

Assignee:

BANK OF AMERICA CORPORATION - Charlotte NC

International Classification:

G06Q 20/20
G06Q 20/40

Abstract:

A direct interaction network in which resources are more efficiently transferred between entities having resource pools with the same organization. The interaction network may be implemented by transforming a user computer system into the interaction terminal for the interaction such that the provider entity does not require interaction terminals to enter into interactions. Alternatively, the interaction network may be entered through interaction terminals of the provider entity without the user having a user computer system and without the user providing a physical instrument for the interaction. These implementations may be possible due at least in part to being able to determine that the entity resource pools are administered by the same organization. Furthermore, one or more sensors may be utilized with the user computer system and/or interaction terminals in order to determine the presence or identity of a user, and/or the subject of the interaction.

Address:

300 W 5 St APT 604, Charlotte, NC 28202

Phone:

2159156222

VIN:

WBAHN83597DT69076

Make:

BMW

Model:

750

Year:

2007