Amazon Technologies, Inc.

Nicholas Richard Wilson

Ronil Sudhir Mokashi

Prashant Verma

Anoop Balakrishnan

Janick M Bernet

Jason Allan Patrao

Kenneth Ryan Ogborn

Graeme Kieth Friedrich

Aaron Lewis Hoosier

Amy Elizabeth Baxter

Uri Leshno

The optimization of fulfillment option benefits is described. In one example, selected offers for items are assembled for a transaction. A fulfillment option benefit, such as a delivery or shipping benefit, is identified for a first one of the items. A system determines whether an offer for a second one of the items contributes to qualification for the same fulfillment option benefit. When the offer for the second item does not contribute, the system searches for any other second item offers that do contribute to qualification for the benefit. If multiple other offers are found, the system ranks the other offers to identify a preferred other offer for the second item. The system then calculates a difference between the originally-selected offer and the preferred offer for the second item and generates a qualification contribution notification that highlights the preferred other offer as contributing to the fulfillment option benefit.

Fulfillment option optimization

Described are techniques for determining a confidence value associated with the probability that a user will access a particular second user interface by interacting with a first user interface. The confidence value may be determined based on user interaction data indicative of prior interactions by the user. Based on the confidence value, the second user interface may be pre-generated, in advance of user interaction with the first user interface. If the user interacts with the first user interface in a manner that would cause presentation of the second user interface, the user may be provided with the second user interface promptly, avoiding the latency that would normally be experienced during the time that the second user interface is generated. Pre-generation of only the user interfaces indicated by the user interaction data may limit unnecessary use of computing resources.

System for determining content for advance rendering

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Seattle, WA, United States of America

Nicholas Richard Wilson