Jeremy C Fox

US Patent:

20220358570, Nov 10, 2022

Filed:

May 7, 2021

Appl. No.:

17/302595

Inventors:

- Armonk NY, US
Clement Decrop - Arlington VA, US
Jeremy R. Fox - Georgetown TX, US
Sarbajit K. Rakshit - Kolkata, IN

International Classification:

G06Q 30/06
G06N 20/00

Abstract:

A computer indicates to a user in a virtual reality shopping session, aspects of availability for a selected item. The computer identifies, in a virtual reality (VR) shopping environment, a product selected for consideration by a group of interested shoppers during a VR shopping session, including a user and at least one additional shopper. The computer determines that the product has an available quantity value below a predetermined warning threshold, based at least in part on a comparison of an in-stock quantity of the product and an indicated purchase quantity preference associated with the interested shoppers for the product. In response to the determination, the computer identifies, a product popularity value representing, at least in part, a quantity associated with the group of interested shoppers. The computer displays, in the VR shopping environment to the user, the product popularity value.

US Patent:

20220271965, Aug 25, 2022

Filed:

Feb 19, 2021

Appl. No.:

17/179725

Inventors:

- Armonk NY, US
Barton Wayne Emanuel - Manassas VA, US
Su Liu - Austin TX, US
Jeremy R. Fox - Georgetown TX, US

International Classification:

H04L 12/18
G06Q 10/10

Abstract:

A management layer for electronic or virtual meeting tools is configured to automatically manage a virtual meeting environment established between computing devices using time based controls, data collection, and feedback mechanisms.

US Patent:

20230087623, Mar 23, 2023

Filed:

Sep 23, 2021

Appl. No.:

17/448532

Inventors:

- Armonk NY, US
Clement Decrop - Arlington VA, US
Jeremy R. Fox - Georgetown TX, US
Uri Kartoun - Cambridge MA, US

International Classification:

G06Q 30/02
G06N 20/00

Abstract:

Correspondence information recorded by trusted entities is maintained up to date by monitoring user activity for location-based transaction data and determining by a machine learning algorithm when a piece of correspondence information has changed. When a change is detected, effected entities receive proposals for alternative temporary correspondence and formal change requests are submitted.