Amazon Technologies, Inc.

Gregory Forrest Wright

Gustavo Eduardo Lopez

Ashraf Alkarmi

Wesley Shawn Davis

Ruslan Anatolyevich Polyanskiy

Pawan Lata Uppuluri

Yenchao Chua

Edward Hon

Praveen Krishnan

Damien Renaud Leake

Scott Pardy

Anshu Kumar Mishra

Evan Weiss

Managing reward program memberships and corresponding rewards for generating personalized search engine results pages is described. A service provider may receive a search query associated with an item and access a plurality of search results associated with the search query. Each search result may correspond to a listing associated with the item. The service provider may access reward program data including data associated with rewards available from a plurality of reward programs and may determine a reward is redeemable for listing corresponding to a search result of the plurality of search results. The service provider may generate a personalized search result based at least partly a determination that a reward is redeemable for the listing and may generate a personalized search engine results page to be presented via a device.

Optimized search using rewards information

A community driven framework for travel planning is described. A service provider may determine an intended travel destination associated with a user and may access, from a database, candidate itineraries that are associated with the intended travel destination. The service provider may determine a suitability score associated with a candidate itinerary of the candidate itineraries, the suitability score indicating a likelihood that the candidate itinerary is of interest to the user. The service provider may select the candidate itinerary as an itinerary to recommend to the user and may cause the itinerary to be presented to the user via a device corresponding to the user.

Computer generation of itineraries

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

Growing community of inventors

Seattle, WA, United States of America

Gregory Forrest Wright