Patents by Inventor Snigdha Mokkapati
Snigdha Mokkapati has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240078486Abstract: 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.Type: ApplicationFiled: November 9, 2023Publication date: March 7, 2024Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Patent number: 11853944Abstract: 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.Type: GrantFiled: May 24, 2021Date of Patent: December 26, 2023Assignee: EBAY INC.Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Publication number: 20230410042Abstract: 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.Type: ApplicationFiled: August 29, 2023Publication date: December 21, 2023Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Patent number: 11836673Abstract: 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.Type: GrantFiled: April 27, 2021Date of Patent: December 5, 2023Assignee: EBAY INC.Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Publication number: 20210279665Abstract: 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.Type: ApplicationFiled: May 24, 2021Publication date: September 9, 2021Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Patent number: 11107023Abstract: 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.Type: GrantFiled: December 12, 2014Date of Patent: August 31, 2021Assignee: eBay Inc.Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Publication number: 20210248549Abstract: 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.Type: ApplicationFiled: April 27, 2021Publication date: August 12, 2021Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Patent number: 11030571Abstract: 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.Type: GrantFiled: November 11, 2014Date of Patent: June 8, 2021Assignee: eBay Inc.Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Publication number: 20190087769Abstract: 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.Type: ApplicationFiled: November 11, 2014Publication date: March 21, 2019Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Publication number: 20160132821Abstract: 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.Type: ApplicationFiled: November 11, 2014Publication date: May 12, 2016Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri
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Publication number: 20160034543Abstract: 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.Type: ApplicationFiled: December 29, 2014Publication date: February 4, 2016Inventors: Vinay Rajashekar Nagar, Shweta Pogde, Arun Selvaraj, Snigdha Mokkapati, Venkatesh Sriram, Suraj Chhetri
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Publication number: 20150178654Abstract: 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.Type: ApplicationFiled: December 12, 2014Publication date: June 25, 2015Inventors: Dane Glasgow, Steve Yankovich, Marc Peter Hosein, Shweta Pogde, Snigdha Mokkapati, Gokulkrishna B. Pillai, Sri Harsha Chevuru, Dinesh Kumar Damodharan, Chethan Narayan, Vinay Rajashekar Nagar, Suraj Chhetri