公开(公告)号：US20170046653A1

公开(公告)日：2017-02-16

申请号：US14868682

申请日：2015-09-29

Applicant: Amazon Technologies, Inc.

Inventor： Darren Edward Wilson ,  Russell John Allgor ,  Patrick Jeffrey Dion ,  William Matthew Driegert ,  William Theodore Gordon ,  Gautam Gupta ,  Anicham Ponn Kumarasamy ,  Edward McGavin ,  Pragyana K. Mishra ,  Jonathan Blair Norwood ,  Manish Parson ,  Sekhar Putcha ,  Murali Rajaa Rajamani ,  Matthew Robert Sowders ,  Renato Fonseca Furquim Werneck ,  Ronald Mark Whitman

IPC: G06Q10/08

CPC classification number: G06Q10/083 ,  G06Q10/047 ,  G06Q10/08355 ,  G06Q10/0838

Abstract: Techniques for planning of transportation requests may be described. In particular, zones may be generated based on historical information associated with transportation requests, where each zone may be configured to manage a number of the transportation requests. An inter-zone sequence may also be generated relatively statically to indicate an order of progressing between the zones in response to the transportation requests. In addition, an intra-zone sequence for each zone may also be generated relatively dynamically. The intra-zone sequence may indicate an order of progression within the corresponding zone in response to current transportation requests of that zone.

Abstract translation: 可以描述用于规划运输请求的技术。 特别地，可以基于与运输请求相关联的历史信息来生成区域，其中每个区域可被配置为管理多个运输请求。 也可以相对静态地产生区间序列，以指示响应于运输请求的区域之间的进度顺序。 此外，还可以相对动态地生成每个区域的区域内序列。 区域内序列可以响应于该区域的当前运输请求来指示对应区域内的进展顺序。

公开(公告)号：US09552553B1

公开(公告)日：2017-01-24

申请号：US13926565

申请日：2013-06-25

Applicant: Amazon Technologies, Inc.

Inventor： Darren Edward Wilson ,  Aleksandr Mikhaylovich Ingerman ,  Aaron Hyrum Smith

IPC: G06E1/00 ,  G06E3/00 ,  G06F15/18 ,  G06G7/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06Q10/083 ,  G06Q30/0601 ,  G06Q30/0621

Abstract: Disclosed are various embodiments for an item preparation application. Business logic and machine learning may be applied to attributes of an item to generate a recommendation for item preparation prior to storage in a physical storage facility. The recommendation may indicate whether preparation is to be applied, or what type of preparation is required. A machine learning knowledge base may be updated based on feedback or overrides of recommendations.

Abstract translation: 公开了用于物品准备应用的各种实施例。 业务逻辑和机器学习可以应用于项目的属性，以在存储在物理存储设施中之前生成用于项目准备的建议。 该建议可能表明是否应用准备工作，还是需要什么样的准备工作。 可以基于反馈或覆盖推荐来更新机器学习知识库。