Amazon Technologies, Inc.

Ming-Hsiu Wang

Ameet Nirmal Vaswani

Alexander Clark Prater

Natalie Thuy-Tien Nguyen

Kevin Alexander Lee

Jason E Dishlip

James Gregory Allen

Joseph Papa

Steven F Toth

Michael J Beenen

Gregory Martin

Laura E Ford

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. The techniques described herein may determine when sensor data is to be stored for a default amount of time, and when sensor data is to be stored for a greater amount of time. By retaining data in an intelligent manner, the system is able to function accurately without unduly taxing storage constraints.

Automated sensor data retention

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for consumption based subscription frequency recommendations. A system configured to practice the example method first evaluates purchase statistics for an item to determine a consumption frequency. The system receives from a user a request for the item, and presents to the user a subscription recommendation based on the consumption frequency. The system can also provide recommendations for accessories by evaluating purchase statistics for an item to determine an accessory for the item, wherein a number of times the accessory is purchased with the item exceeds a threshold, receiving from a user a request for a subscription for recurring purchases of the item, and presenting to the user a recommendation to include the accessory as part of the subscription.

Consumption based subscription frequency recommendations

Growing community of inventors

Bellevue, WA, United States of America

Ming-Hsiu Wang