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公开(公告)号：US10296195B2
公开(公告)日：2019-05-21
申请号：US15398642
申请日：2017-01-04
Applicant: Amazon Technologies, Inc.
Inventor： Stephan Josef Andrizzi , Kara Cavallaro , Jai Prakash Chabria , Nicole Dare , Kenneth DeLand , Nirav Praful Desai , Anindya Guha , Marc Hensley , Douglas James Herrington , Samuel Stevens Heyworth , Apoorva Iyer , Nitish Kumar , Hannah McClellan Richards , Jae Park , Amir Pelleg , Jessica Protasio , Daniel Benjamin Rausch , Laura Allison Ridlehoover , Jeffrey Rosenberg , John Shaw , Paul Warren Smart , Amirali Virani
IPC: G06F3/048 , G06F3/0484 , G06Q30/06 , H04L29/06
Abstract: Systems, methods, and computer-readable media are described for creating custom user interface (“UI”) controls. A networked computing service may determine that an action performed by a user of the service is likely to be repeated, based on previous actions performed by the user and/or other users, parameters of the action including characteristics of an item associated with the action, and other criteria. The networked computing service may generate, or recommend generation of, a custom UI control that automates performance of the action. The networked computing service may automatically determine parameters of the action, and may determine alternative parameters and/or alternative actions if the action cannot be performed using the determined parameters. Custom UI controls may be associated with various computing devices and/or other electronic devices, and categories of custom UI controls may be determined and displayed.
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公开(公告)号：USD826255S1
公开(公告)日：2018-08-21
申请号：US29589800
申请日：2017-01-04
Applicant: Amazon Technologies, Inc.
Designer： Stephan Josef Andrizzi , Jai Prakash Chabria , Nicole Dare , Kenneth DeLand , Nirav Praful Desai , Anindya Guha , Marc Hensley , Douglas James Herrington , Samuel Stevens Heyworth , Apoorva Iyer , Nitish Kumar , Hannah McClellan Richards , Amir Pelleg , Jessica Protasio , Daniel Benjamin Rausch , Laura Allison Ridlehoover , Jeffrey Rosenberg , Paul Warren Smart , Amirali Virani
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公开(公告)号：US20180188934A1
公开(公告)日：2018-07-05
申请号：US15398659
申请日：2017-01-04
Applicant: Amazon Technologies, Inc.
Inventor： Stephan Josef Andrizzi , Kara Cavallaro , Jai Prakash Chabria , Nicole Dare , Kenneth DeLand , Nirav Praful Desai , Anindya Guha , Marc Hensley , Douglas James Herrington , Samuel Stevens Heyworth , Apoorva Iyer , Nitish Kumar , Hannah McClellan Richards , Jae Park , Amir Pelleg , Jessica Protasio , Daniel Benjamin Rausch , Laura Allison Ridlehoover , Jeffrey Rosenberg , John Shaw , Paul Warren Smart , Amirali Virani
IPC: G06F3/0484 , G06Q30/06
CPC classification number: G06F3/04847 , G06F3/04842 , G06Q30/0601 , G06Q30/0625 , G06Q30/0641 , H04L67/42
Abstract: Systems, methods, and computer-readable media are described for creating custom user interface (“UI”) controls. A networked computing service may determine that an action performed by a user of the service is likely to be repeated, based on previous actions performed by the user and/or other users, parameters of the action including characteristics of an item associated with the action, and other criteria. The networked computing service may generate, or recommend generation of, a custom UI control that automates performance of the action. The networked computing service may automatically determine parameters of the action, and may determine alternative parameters and/or alternative actions if the action cannot be performed using the determined parameters. Custom UI controls may be associated with various computing devices and/or other electronic devices, and categories of custom UI controls may be determined and displayed.
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公开(公告)号：US11137479B1
公开(公告)日：2021-10-05
申请号：US15926779
申请日：2018-03-20
Applicant: Amazon Technologies, Inc.
Inventor： Allison Kramer , Samuel Stevens Heyworth , Devon Merritt , Amirali Virani , Hannah McClellan Richards
Abstract: Utilizing the techniques disclosed herein, sensor data inaccuracies may be corrected such that calculated fill levels more accurately reflect the actual fill level of the item within an automatic replenishment device (ARD). For example, the ARD may include a sensor configured to collect the sensor data (e.g., a distance between the sensor and an item contained within the ARD). Sensor data associated with an item within the ARD may be received. A measurement offset value specific to the item may be identified. An estimated fill level of the item within the ARD may be calculated based at least in part on the distance measured between the sensor and the item and the measurement offset value specific to the item.
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Patent Agency Ranking
公开(公告)号：US11126955B1
公开(公告)日：2021-09-21
申请号：US15696040
申请日：2017-09-05
Applicant: Amazon Technologies, Inc.
Inventor： Charles Robert Watson , David Charles Buuck , Dave Jonathan Lefkow , Joshua Golden Edwards , Lindsey Ann Bauer , Christa Stephens Glenn , Samuel Stevens Heyworth , Lara Marie Sosnosky , Amirali Virani , Hannah McClellan Richards
Abstract: A reorder device having an item tag reader and one or more sensors may facilitate the automatic reordering of an item for a customer. The item may be associated with an item tag that is placed on (or near) the reorder device. The reorder device may detect the item tag and transmit such data to an entity device, which may associate the reorder device and the item. The reorder device may periodically obtain weight measurements of the item that is placed on the reorder device, as well as a timestamp that indicates a time at which the weight measurements are obtained. Such data may be provided to the entity device, and an entity associated with the entity device may determine whether weight measurement satisfies an item threshold value. If so, additional inventory of the item may be ordered and delivered to the customer, without additional input from the customer.
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公开(公告)号：US11100464B1
公开(公告)日：2021-08-24
申请号：US16530562
申请日：2019-08-02
Applicant: Amazon Technologies, Inc.
Inventor： Dave Jonathan Lefkow , Samuel Stevens Heyworth , Amirali Virani , Hannah McClellan Richards
IPC: G06Q10/08
Abstract: Techniques for consolidation of items based on sensor data is provided. For example, an amount of an item may be identified using an electronic sensor associated with an automatic replenishment device. When the amount of the item is greater than a first reorder threshold, the item may not be ordered on behalf of the user until the amount of the item reaches the first reorder threshold. However, when an order for a different item is placed, either by accessing a network document to proactively order the different item or through a reorder schedule based on a consumption rate of the different item, the amount of the first item may be compared with a second reorder threshold. When the amount of the first item is less than the second reorder threshold, a notification may be provided to the user for additionally ordering the second item with the first item.
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公开(公告)号：US20200272316A1
公开(公告)日：2020-08-27
申请号：US16870731
申请日：2020-05-08
Applicant: Amazon Technologies, Inc.
Inventor： Stephan Josef Andrizzi , Kara Cavallaro , Jai Prakash Chabria , Nicole Dare , Kenneth DeLand , Nirav Praful Desai , Anindya Guha , Marc Hensley , Douglas James Herrington , Samuel Stevens Heyworth , Apoorva Iyer , Nitish Kumar , Hannah McClellan Richards , Jae Park , Amir Pelleg , Jessica Protasio , Daniel Benjamin Rausch , Laura Allison Ridlehoover , Jeffrey Rosenberg , John Shaw , Paul Warren Smart , Amirali Virani
IPC: G06F3/0484 , G06Q30/06
Abstract: Systems, methods, and computer-readable media are described for creating custom user interface (“UP”) controls. A networked computing service may determine that an action performed by a user of the service is likely to be repeated, based on previous actions performed by the user and/or other users, parameters of the action including characteristics of an item associated with the action, and other criteria. The networked computing service may generate, or recommend generation of, a custom UI control that automates performance of the action. The networked computing service may automatically determine parameters of the action, and may determine alternative parameters and/or alternative actions if the action cannot be performed using the determined parameters. Custom UI controls may be associated with various computing devices and/or other electronic devices, and categories of custom UI controls may be determined and displayed.
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公开(公告)号：US10664146B2
公开(公告)日：2020-05-26
申请号：US15398659
申请日：2017-01-04
Applicant: Amazon Technologies, Inc.
Inventor： Stephan Josef Andrizzi , Kara Cavallaro , Jai Prakash Chabria , Nicole Dare , Kenneth DeLand , Nirav Praful Desai , Anindya Guha , Marc Hensley , Douglas James Herrington , Samuel Stevens Heyworth , Apoorva Iyer , Nitish Kumar , Hannah McClellan Richards , Jae Park , Amir Pelleg , Jessica Protasio , Daniel Benjamin Rausch , Laura Allison Ridlehoover , Jeffrey Rosenberg , John Shaw , Paul Warren Smart , Amirali Virani
IPC: G06F3/0484 , G06Q30/06 , H04L29/06
Abstract: Systems, methods, and computer-readable media are described for creating custom user interface (“UI”) controls. A networked computing service may determine that an action performed by a user of the service is likely to be repeated, based on previous actions performed by the user and/or other users, parameters of the action including characteristics of an item associated with the action, and other criteria. The networked computing service may generate, or recommend generation of, a custom UI control that automates performance of the action. The networked computing service may automatically determine parameters of the action, and may determine alternative parameters and/or alternative actions if the action cannot be performed using the determined parameters. Custom UI controls may be associated with various computing devices and/or other electronic devices, and categories of custom UI controls may be determined and displayed.
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公开(公告)号：USD825608S1
公开(公告)日：2018-08-14
申请号：US29589467
申请日：2016-12-30
Applicant: Amazon Technologies, Inc.
Designer： Stephan Josef Andrizzi , Jai Prakash Chabria , Nicole Dare , Kenneth DeLand , Nirav Praful Desai , Anindya Guha , Marc Hensley , Douglas James Herrington , Samuel Stevens Heyworth , Apoorva Iyer , Nitish Kumar , Hannah McClellan Richards , Amir Pelleg , Jessica Protasio , Daniel Benjamin Rausch , Laura Allison Ridlehoover , Jeffrey Rosenberg , Paul Warren Smart , Amirali Virani
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