公开(公告)号：US12124989B1

公开(公告)日：2024-10-22

申请号：US17864926

申请日：2022-07-14

Applicant: Amazon Technologies, Inc.

Inventor： Taimoor Jawaid Khizri ,  Matthew Kenneth Bellamy ,  Liron David Yedidsion ,  Shubham Dabas ,  Vipin Kumar Singla ,  Fnu Shashank Kumar ,  Devinder Singh ,  Shailendra Singh Rajawat ,  William Wei-Chi Chen ,  Arnav Anshul

IPC: G06Q10/0833 ,  G06Q10/047

CPC classification number: G06Q10/0833 ,  G06Q10/047

Abstract: Systems and methods are disclosed for determining a visual indicator for a package based on a delivery address for the package and a location of the delivery address along a delivery route. An optimized delivery route may be created for packages to be delivered at a given time. At the fulfillment center, a delivery system may label a package prior to loading the package on a delivery vehicle. The delivery system may determine the appropriate visual indicator (e.g., color and/or pattern) or the visual indicator may be randomly selected. The delivery system may generate a label having the visual indicator. The package may be deposited into a certain bin with other packages having a delivery address in close proximity. The delivery system may generate a user interface on a user device that indicates that the package has a certain visual indicator to facilitate sorting and identification of the package.

公开(公告)号：US11694147B1

公开(公告)日：2023-07-04

申请号：US16900057

申请日：2020-06-12

Applicant: Amazon Technologies, Inc.

Inventor： HebaAllah Aly AbdElHalim Aly Ismail ,  Zheng Wang ,  Qianchao Ban ,  Matthew Kenneth Bellamy ,  Shao-Wen Yang ,  Xingang Guo

IPC: G06Q10/08 ,  G06Q10/083 ,  G06Q10/087

CPC classification number: G06Q10/083 ,  G06Q10/087

Abstract: Disclosed are various embodiments for generating location confirmation models using crowdsourced wireless fingerprints. Wireless fingerprints can be generated and associated with a given location during events that use proximity to specific locations. The wireless fingerprints can be processed to generate location confirmation models that can be used for location confirmation. Periodically, the collected wireless fingerprints can be analyzed and compared to previously collected wireless fingerprints to detect a change in a wireless infrastructure at the given location. Upon determining that a previously generated location confirmation model is invalid according to a level of significance of the change, the outdated wireless fingerprints can be identified and removed from storage or otherwise ignored for future models. An updated location confirmation model can be generated using the up-to-date wireless fingerprints.

公开(公告)号：US12217211B1

公开(公告)日：2025-02-04

申请号：US18066704

申请日：2022-12-15

Applicant: Amazon Technologies, Inc.

Inventor： Matthew Kenneth Bellamy ,  Manoj Nibhoria ,  Brian Michael Rock ,  Charlton Wong ,  Mohammad Reza Shakouri ,  Christopher William Canal

IPC: G06Q10/0835 ,  G06N20/00

Abstract: Systems and methods are provided for automated modification of delivery parameters. Particularly, computing model that is trained to determine a probability that a delivery defect is likely to occur for a given delivery or set of deliveries. Based on the probability, various limitations associated with the deliveries may be activated or deactivated on a mobile device application used by a delivery driver to perform the deliveries. The systems and methods reduce the number of delivery defects that occur while simultaneously reducing the use of unnecessary guardrails for low-risk deliveries. The model may be queried in real-time such that guardrails for a delivery itinerary may be optimized prior to the delivery driver beginning the delivery route.