Amazon Technologies, Inc.

Harshal Pandya

Travis M Grigsby

Kevin Alexander Lee

Pranoti Pimpalkhute

This disclosure describes techniques for utilizing sensor data to automatically determine the results of events within a system. Upon receiving sensor data indicative of an event, the techniques may analyze the sensor data to determine a result of the event, such as that a particular user associated with a user identifier selected a particular item associated with an item identifier. Contents of a virtual shopping cart of the user may be maintained based on this automated analysis of sensor data. In some instances, when a confidence level associated with a result is less than a threshold, the sensor data may be sent to a client computing device for analysis by a human user. Further, when the result of an event changes from a first result to a second result, other events already processed may be reprocessed to ensure accuracy of the results.

Updating cart state using auto-generated sensor data

This disclosure describes techniques for utilizing sensor data to automatically determine the results of events within a system. Upon receiving sensor data indicative of an event, the techniques may analyze the sensor data to determine a result of the event, such as that a particular user associated with a user identifier selected a particular item associated with an item identifier. Contents of a virtual shopping cart of the user may be maintained based on this automated analysis of sensor data. In some instances, when a confidence level associated with a result is less than a threshold, the sensor data may be sent to a client computing device for analysis by a human user.

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Seattle, WA, United States of America

Harshal Pandya