Shweta Pogde

US Patent:

20210248549, Aug 12, 2021

Filed:

Apr 27, 2021

Appl. No.:

17/241137

Inventors:

- San Jose CA, US
Steve Yankovich - San Jose CA, US
Marc Peter Hosein - Saratoga CA, US
Shweta Pogde - Sunnyvale CA, US
Snigdha Mokkapati - Sunnyvale CA, US
Gokulkrishna B. Pillai - San Jose CA, US
Sri Harsha Chevuru - San Jose CA, US
Dinesh Kumar Damodharan - Santa Clara CA, US
Chethan Narayan - San Jose CA, US
Vinay Rajashekar Nagar - San Jose CA, US
Suraj Chhetri - San Jose CA, US

International Classification:

G06Q 10/08

Abstract:

Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

US Patent:

20190087769, Mar 21, 2019

Filed:

Nov 11, 2014

Appl. No.:

14/538696

Inventors:

- San Jose CA, US
Steve Yankovich - San Jose CA, US
Marc Peter Hosein - Saratoga CA, US
Shweta Pogde - Sunnyvale CA, US
Snigdha Mokkapati - Sunnyvale CA, US
Gokulkrishna B. Pillai - San Jose CA, US
Sri Harsha Chevuru - San Jose CA, US
Dinesh Kumar Damodharan - Santa Clara CA, US
Chethan Narayan - San Jose CA, US
Vinay Rajashekar Nagar - San Jose CA, US
Suraj Chhetri - San Jose CA, US

International Classification:

G06Q 10/08

Abstract:

Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

US Patent:

20160034543, Feb 4, 2016

Filed:

Dec 29, 2014

Appl. No.:

14/585100

Inventors:

Vinay Rajashekar Nagar - San Jose CA, US
Shweta Pogde - Sunnyvale CA, US
Arun Selvaraj - San Jose CA, US
Snigdha Mokkapati - Sunnyvale CA, US
Venkatesh Sriram - Sunnyvale CA, US
Suraj Chhetri - San Jose CA, US

International Classification:

G06F 17/30
G06Q 30/06

Abstract:

In various example embodiments, a mapping system and method for generating product listings for machine sensed and user specified criteria are presented. In example embodiments, sensor data about an object, and user characteristic information are received. Physical characteristics are extracted from the sensor data and mapped with the user characteristic information and related characteristics to create mapped characteristics. Based on the mapped characteristics, item listings are identified, ranked and presented to the user. The user can subsequently refine the search criteria by adding, subtracting or reweighing the characteristics.

US Patent:

20150178654, Jun 25, 2015

Filed:

Dec 12, 2014

Appl. No.:

14/569188

Inventors:

- San Jose CA, US
Steve Yankovich - San Jose CA, US
Marc Peter Hosein - Saratoga CA, US
Shweta Pogde - Sunnyvale CA, US
Snigdha Mokkapati - Sunnyvale CA, US
Gokulkrishna B. Pillai - San Jose CA, US
Sri Harsha Chevuru - San Jose CA, US
Dinesh Kumar Damodharan - Santa Clara CA, US
Chethan Narayan - San Jose CA, US
Vinay Rajashekar Nagar - San Jose CA, US
Suraj Chhetri - San Jose CA, US

International Classification:

G06Q 10/06
G06Q 10/08

Abstract:

Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.