Amazon Technologies, Inc.

Yenchao Chua

Gustavo Eduardo Lopez

Ashraf Alkarmi

Ruslan Anatolyevich Polyanskiy

Pawan Lata Uppuluri

Gregory Forrest Wright

Evan Weiss

Edward Hon

Praveen Krishnan

Scott Pardy

Prashanth Paramanandan

John Schroder

Rajeev Damani

Jaymin Chinubhai Shah

Damon Alexander

Al Ashkar

Saurabh Roongta

A system and method for capacity management based on location and status of flexible (e.g., non-scheduled) service resources. Features are included to determine if the system can accept a request for a pick-up point (e.g., a restaurant, a quick order fulfillment center, grocery store, network location) based on the density, type and characteristics of the delivery resources in proximity (e.g., time and/or distance) to the pick-up point. The system also leverages historic delivery performance of the resources to assess whether to offer service or a service level for a given request.

Resource capacity management

A customer may specify, via a mobile device, a current location at which the customer desires to receive a delivery order for food items, as well as a preferred amount of time for the delivery. In response, food items that are available to be delivered to the current location within the preferred amount of time are identified and presented to the customer, including food items to be prepared/provided by merchants and food items current being transported by deliverers within sophisticated food item containers and/or delivery containers. Upon receiving a selection of one or more food items, a delivery of the ordered/selected food items may be facilitated. For instance, one or more instructions to prepare and/or transport the food item(s) may be transmitted to devices of merchants and/or deliverers.

Customer location-based delivery of food items

A food item container that contains a food item may include one or more sensors that collect sensor data indicating a characteristic (e.g., temperature, humidity, pressure, orientation, etc.) associated with the food item. A delivery container that transports the food items within the food item container may also include one or more sensors that collect the sensor data. Based on the sensor data, a component of the food item container and/or the delivery container may maintain or adjust the characteristic. The one or more sensors of the delivery container may also detect an identifier associated with the food item container, which may indicate which food item containers (and corresponding food items) are included within each delivery container.

Identification of items within delivery containers

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Seattle, WA, United States of America

Yenchao Chua