公开(公告)号：US09805402B1

公开(公告)日：2017-10-31

申请号：US14499037

申请日：2014-09-26

Applicant: Amazon Technologies, Inc.

Inventor： Jeffrey B. Maurer ,  Deepak Bhatia ,  Gordon Mitchell Goetz ,  Onur Özkök ,  Tolga Han Seyhan ,  Nicholas Deming Sherman ,  Arjun Krishna Subramaniam ,  Jingchen Wu

IPC: G06Q30/00 ,  G06Q30/06 ,  G06Q10/08

CPC classification number: G06Q30/0605 ,  G06Q10/087

Abstract: Techniques for determining a decision to acquire units of an item to be inventoried may be provided. For example, a demand for an item may be simulated to determine a consumption of a capacity for inventorying the item. A discrepancy between the consumption of the capacity and the capacity may be determined. An opportunity cost associated with the capacity may be updated based at least in part on determining that the discrepancy fails a convergence criterion. The opportunity cost may indicate a value associated with using the capacity. The consumption of the capacity may be simulated based at least in part on the updated opportunity cost. A resulting discrepancy may be determined. If the resulting discrepancy meets the convergence criterion, the decision to acquire the units of the item may be generated based at least in part on the updated opportunity cost.

公开(公告)号：US10185980B1

公开(公告)日：2019-01-22

申请号：US14703751

申请日：2015-05-04

Applicant: Amazon Technologies, Inc.

Inventor： Jingchen Wu ,  Zhihao Cen ,  Jingqiao Zhang ,  Jeffrey B. Maurer ,  Deepak Bhatia ,  Ali Sadighian

IPC: G06Q30/06 ,  G06Q10/08

Abstract: Techniques for computing a feature based on variables may be provided. For example, historical realizations associated with a first variable may be accessed. The first variable may be associated with an item. Realizations of the first variable may be based on one or more factors associated with the item. Historical realization of a second variable associated with the item may also be accessed. The historical realizations of the first and second variables may be analyzed to generate an expected realization of the first variable as a function of the second variable. The feature may be computed based on the generated function.