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AmazonPatent applicationShopping & deliveryInterest 6/10

Amazon patents neural networks to score delivery reliability

The filing describes using neural networks to create a reliability score for a delivery account based on historical performance data. When a customer picks a delivery time, the system uses this score to apply specific safety checks before the package is sent.

Why it mattersThis could help online shoppers get more accurate delivery windows by flagging accounts that might struggle to meet specific time slots.

In the filing’s own words

Systems and methods are described relating to score generation for an account of a delivery service using one or more neural networks. The one or more neural networks can generate the score using time series data including metrics associated with the account. In response to a time slot being selected by the account from the set of time slots, the score can be used to generate safeguards for the account, where the safeguards are to be applied prior to execution of one or more scheduled deliveries associated with the time slot.

What exactly they claim (claim 1)

1 - 20. (canceled)

Facts

Company
Amazon (Amazon Technologies, Inc.)
Official title
NEURAL NETWORKS TO GENERATE RELIABILITY SCORES
Publication number
US20260268267A1
Application number
19549992
Filed
Feb 25, 2026
Published
Sep 10, 2026
Inventors
3
Claims
21

Classified under

G06Q 10/0835 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.