Michael A Reid

US Patent:

45141789, Apr 30, 1985

Filed:

Jan 31, 1984

Appl. No.:

6/551112

Inventors:

Peter Noto - Staten Island NY
Michael Reid - New York NY

Assignee:

Garan, Inc. - New York NY

International Classification:

G09B 2500

US Classification:

434395

Abstract:

Garments of one generic type, e. g. bottoms, are each provided with a first type of hangtag having a single color thereon. In most instances, the color is selected from a predetermined universe of colors. Each garment of the second generic type, e. g. tops, is provided with a second type of hangtag with all of the colors in the universe thereon. One or more of the colors on the first type of hangtag are designated by punching the area thereon bearing that color. Any bottom having a tag with a color corresponding to one of the designated colors, coordinates with the top bearing the punched tag. The color of the tag of the first type is visible through the punch in the tag of the second type, when same are held in registration, one behind the other. Bottoms having tags with a color other than one selected from the universe, coordinate with all tops.

US Patent:

20220342912, Oct 27, 2022

Filed:

Jan 19, 2022

Appl. No.:

17/579267

Inventors:

- New York NY, US
Henry HUANG - New York NY, US
Michael REID - Irvine CA, US
Pradnesh DESHMUKH - Mumbai, IN
Vasundhara RUNGTA - Mumbai, IN
Prachi AGRAWAL - Mumbai, IN
Pranati DANG - Bangalore, IN
Tarun SHARMA - San Jose CA, US
Vasudeva SANKARANARAYANAN - Chicago IL, US
Surya TURLAPATI - Bangalore, IN
Mathew GEORGE - Bangalore, IN

Assignee:

PricewaterhouseCoopers LLP - New York NY

International Classification:

G06F 16/28
G06F 16/2458

Abstract:

Systems, methods, and graphical user interfaces (GUIs) for ingesting and enriching data regarding a plurality of entities are provided. A first data set comprising company data and a second data set comprising customer data are ingested. The first data set is processed to generate a processed data set. The first data set may be processed by applying an entity matching technique, wherein one or more data elements are generated based on whether an entity of the first data set and an entity of the second data set are commonly associated. The first data set may additionally or alternatively be processed by applying a statistical matching technique, wherein one or more predicted data elements are generated based on similarity between an entity of the first data set and one or more entities of the second data set.