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Joshua M HayesHouston, TX

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Houston, TX   

Oakland, CA   

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Resumes

Joshua Hayes Photo 49

Recent Graduate From The Ohio State University

Position:
Sales Associate at Gap Inc.
Location:
Columbus, Ohio
Industry:
Civil Engineering
Work:
Gap Inc. - Easton Town Center, Columbus, Ohio since Jun 2012
Sales Associate Honda of America Mfg., Inc. Jun 2008 - Sep 2008
Assembly Worker
Education:
The Ohio State University 2008 - 2013
BS, Civil Engineering Marysville Highschool
Interests:
LEED, Green Building, Architecture, Alternative energy, Golf, Skiing, Music
Joshua Hayes Photo 50

Joshua Hayes

Location:
San Francisco Bay Area
Industry:
Marketing and Advertising
Joshua Hayes Photo 51

Instructor At Bay Area Video Coalition

Location:
San Francisco Bay Area
Industry:
Entertainment
Joshua Hayes Photo 52

Joshua Hayes

Location:
San Francisco Bay Area
Industry:
Higher Education
Languages:
Japanese
Joshua Hayes Photo 53

Joshua Hayes

Location:
United States

Publications & IP owners

Us Patents

Method And System For Accurately Estimating Amount Of Materials In Stores

US Patent:
2021039, Dec 23, 2021
Filed:
Jun 17, 2021
Appl. No.:
17/350766
Inventors:
- New Providence NJ, US
Joshua Hayes - San Rafael CA, US
Theodore Trebaol - Oxnard CA, US
Louis Trebaol - Bedford NH, US
International Classification:
G06Q 10/08
G06Q 10/06
Abstract:
Systems, methods, and apparatus are disclosed for estimating quantities of stored materials in a store. The data from a lower-fidelity store can be collected by a person (manual or “unmonitored” stores), which are manually collected unmonitored data, whereas monitored data from a higher-fidelity store can be collected by automated sensors from one or more similar stores (“monitored” stores). The present system may take as initial input historical data from a set of monitored stores and historical data for a set of manual stores. The system may continuously receive over time monitored data from monitored stores data and unmonitored data from manual stores. The system generates a model using the monitored data and the unmonitored data and applies the model to user-specified input data parameters to generate estimates of an inventory parameter, such as remaining material quantities in the set of manual unmonitored stores since their latest manual data collection.

Possible Relatives

Cynthia D Hayes  David L Hayes  Dawn Hayes  Dax A Hayes  Dean C Hayes  Deandre L Hayes  Deann M Hayes  Joshua J Johnson  Joshua P Stamps  Joshua C Standley 

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