Amazon Technologies, Inc.

David Daniel Glick

Udit Madan

Michael Ellsworth Bundy

James Christopher Curlander

Jules Cook Graybill

Marshall Friend Tappen

Robert Dreaper McDonald, Jr

John Elias Darrow

Jonathan Blair Norwood

Erik Schmitz

Alex Sinner

Raquel Gonzalez-Dalmau

Jaime Silvela

Volker Metten

Hao He

Matthew Rice Carlson

Mayank Sachan

Eitan S Levi

Dimitri Paul Hoffmann

Vishal Nandkishor Patel

Maitreyi Nanjanath

Lubos Bosak

Nathan Ryan Bosch

Steven Michael Hood

Peter Lai

Dimitri Paul Hoffman

Facundo Leonardo Agriel

Disclosed are various embodiments for localization of merchant data. A computing device obtains a localization request from a user interface on a first client device where the localization request relates to the localization of an offer listing. Based at least in part on the localization request, the content of the offer listing is translated to generate a localized offer listing. The localized offer listing is sent, via a second user interface, to a second client device.

Localization of merchant data

Disclosed are various implementations for updating information displayed in a user interface for a worker in a fulfillment center. Information changing relative to a previous user interface can be provided in response to location data that indicates the worker's location within a fulfillment center.

Augmented reality user interface facilitating fulfillment

This disclosure describes a system and method for utilizing an automated aerial vehicle for rapidly transporting a priority pick item when an exception occurs (e.g., an item that was to be picked from another location or otherwise processed is found to be missing or damaged). In some implementations, a priority pick instruction may be generated that directs picking of the item from an alternative location after which the item may be transported by the automated aerial vehicle to a processing location (e.g., a problem solve station). A flight path may be determined which may have starting and ending points at designated locations where the automated aerial vehicle can safely land and take off for acquiring and/or delivering the priority pick item.

Utilizing automated aerial vehicles for transporting priority pick items

Imaging data regarding an interior portion of a storage vessel may be obtained from an imaging device (e.g., a digital camera or depth sensor) and interpreted in order to identify an available volume within the storage vessel. Where the imaging data includes an image of an interior of the storage vessel, an area of one or more contiguous spaces of a rear face of the storage vessel may be identified from the image and multiplied by a depth of the storage vessel in order to estimate the available volume. Where the imaging data includes a depth profile of the interior, the depth profile may be processed in order to estimate the available volume. Once an available volume has been estimated, the capacity of the available volume to accommodate one or more additional items may be determined, and information regarding the capacity may be provided to a user.

Selecting items for placement into available volumes using imaging data

Disclosed are various implementations for generating one or more visualization regions in a user interface indicative of a state of a fulfillment center. A visualization region may be generated comprising one or more visual identifiers, labels, and metrics describing one or more stages in a fulfillment process. In response to a manipulation of a portion of the visualization region, a predefined action may be initiated.

Item flow visualization for outbound fulfillment

Estimating available volumes using imaging data

A conferencing system receives information identifying a user and retrieves calendar information specifying scheduled events of the user. The conferencing system selects one of the events and joins the user to the event without the user manually entering information about the event.

Automatic conference call connection

A source-matching service may gather information from one or more interest resources, then process the information to generate a set of keywords corresponding to an item or type of item in which users of a network-based service may be interested. Optionally, the source-matching service may identify a source to provide an item described by the interest keywords through the network-based service, and offer the source the opportunity to provide the item described by the interest keywords through the network-based service.

Providing items of interest

Disclosed are various embodiments for localization of merchant data. A computing device provides at least one localization option to a merchant, where the localization option relates to an offer listing associated with an item. A localization request is obtained from the merchant relating to the offer listing, and the content contained in the offer listing is parsed. Based at least in part on the localization request, the content is translated to generate a localized offer listing.

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Seattle, WA, United States of America

David Daniel Glick