Amazon Technologies, Inc.

Anthony Payauys

Tong Wang

Chintan Desai

Yen-Yi Lai

Prathyusha Moparthi

Tarun Venkatesh Ravva

Described herein is a system for predictive image analysis to provide a response to a user input. To reduce a system response time when responding to user inputs that relate to image data analysis, the system processes data relating to past user inputs to predict when a user may request information relating to image data. Using pattern data (determined by the system), the system determines that a trigger to initiate image analysis occurred. The trigger may indicate that the system is expected to receive a user input relating to image data. The system processes image data, in advance of receiving the user input, to determine and store feature data that can be used to generate an output responsive to a user input. Then when the user input is received, the system sends output data (generated using the determined feature data) responsive to the user input.

Predictive image analysis

A shipment container may be designed to provide information similar to retail packaging on the inside surfaces of the shipment container while providing customizable exterior surfaces. The interior surfaces may include content, graphics, text, and/or other information related to the contents of the shipment container. Initially, the exterior surfaces of the shipment container may be left primarily blank in anticipation of a later printing of customized graphics for a customer by a merchant or fulfillment center (FC) that prepares the shipment container for shipment to a customer. During processing of the shipment container, the merchant or FC may analyze the shipment container (e.g., size, shape, etc.) and the order of the item to determine custom graphics to print on the shipment container. The custom graphics may be selected in real-time or near real-time to enable up-to-date information, such as advertisements, notifications, and messages.

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Seattle, WA, United States of America

Anthony Payauys