Amazon Technologies, Inc.

Hue Tuan Thi

Jue Wang

Nishitkumar Ashokkumar Desai

Jayakrishnan Kumar Eledath

Connor Spencer Blue Worley

Behjat Siddiquie

Petko Tsonev

Claire Law

Bharat Singh

Chris Broaddus

Xiaoxia Shi

Ejaz Ahmed

Jiajun Zhao

Longlong Zhu

Austen Groener

Yuzhou Feng

This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate, for different shelves and other inventory locations within the facility, which items are on which shelves. For example, the planogram data may indicate that a particular item is located on a particular shelf. Therefore, when a system identifies that a user has taken an item from that shelf, the system may update a virtual cart of that user to indicate addition of the particular item. In some instances, however, a new item may be stocked on the example shelf instead of a previous item. The techniques described herein may use sensor data generated in the facility to identify this change and update the planogram data to indicate an association between the shelf and the new item.

Inferring facility planograms

Users may enter and exit a facility as individuals, or as groups in which an authorized user sponsors other users. Within the group, actions within the facility taken by those sponsored users may be associated with the account of the authorized user. Sensor data acquired at a portal area is used to determine information about users passing through a portal, such as a crossing time, a distance from a crossing point, and so forth. This information is used to determine group associations. These group associations are resilient to situations, such as employees who have exited and re-entered with a user, employees holding open a gate for a user, people entering ahead of the authorized user, people entering after the authorized user, people exiting before an authorized user, and so forth.

System to determine user groupings at a portal

This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement both automated- and manual-checkout techniques for customers of the stores and/or facilities. For example, the described systems may enable a retail store to implement technology where users are able to pick items from shelves and other inventory locations and exit the store without performing manual checkout of the items, as well as technology to allow users to pay for their items using point-of-sale (POS) and/or other manual-checkout techniques. The systems described herein also generate associations between users and carts within the stores to prevent fraudulent transactions within these hybrid environments.

Associating carts and users in hybrid environments

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Seattle, WA, United States of America

Hue Tuan Thi