公开(公告)号：US10438217B1

公开(公告)日：2019-10-08

申请号：US14796192

申请日：2015-07-10

Applicant: Amazon Technologies, Inc.

Inventor： Chengliang Zhang ,  Ali Sadighian ,  Tolga Han Seyhan

IPC: G06Q10/00 ,  G06Q30/02

Abstract: Techniques associated with determining a quantity of an item to inventory may be described. In particular, statistical data about variables associated with the item may be accessed. The statistical data may be generated based on historical realizations of the variables. The quantity may be computed based on this data. For example, a plurality of regrets corresponding to inventorying a plurality of quantities of the item may be generated based on the statistical data. The quantity may be determined from the plurality of quantities as one corresponding to an acceptable regret from the plurality of regrets.

公开(公告)号：US10185927B1

公开(公告)日：2019-01-22

申请号：US14973487

申请日：2015-12-17

Applicant: Amazon Technologies, Inc.

Inventor： Tolga Han Seyhan ,  Ali Sadighian ,  Salal Humair ,  Jialei Rong ,  Haiyun Wang ,  Deepak Bhatia ,  Zhihao Chen ,  Abid Kapadya ,  Julie Wei-Shu Chang

IPC: G06Q10/08 ,  G06Q30/02

Abstract: Techniques are provided herein for utilizing an inventory engine to optimize the selection of a set of items to be stored as inventory at a storage location. A candidate set of items may be identified based at least in part on a selection model. In accordance with at least one embodiment, the selection model may be based at least in part on a capacity of the storage location and a threshold time duration by which purchased items of the set of items are to be transported from the storage location to a purchaser. A plurality of probability values corresponding to the candidate set of items may be determined. An optimal set of items may be determined based at least in part on the candidate set of items and the plurality of probability values.

公开(公告)号：US20180096290A1

公开(公告)日：2018-04-05

申请号：US14579505

申请日：2014-12-22

Applicant: Amazon Technologies, Inc.

Inventor： Hernan P. Awad ,  Ehsan Amiri ,  Deepak Bhatia ,  Ali Sadighian ,  Tolga Han Seyhan ,  Nicholas Deming Sherman

IPC: G06Q10/08 ,  G06Q30/06

CPC classification number: G06Q10/087 ,  G06Q30/0635

Abstract: Techniques for generating a decision to store units of an item may be provided. The units of the item may be offered from a network-based resource. For example, a first ordering channel and a second ordering channel may be provided to facilitate orders of the item from the network-based resource. The first and second ordering channels may allow random orders and deterministic orders of the item, respectively. Additionally, a value of a look ahead window associated with the second ordering channel may be accessed. The value may shift a time for an automatic generation of a deterministic order. Further, a first loss and a second loss may be computed based on the value. The first and second losses may be associated with losing a random order and losing the deterministic order, respectively. The decision may be generated based at least in part on the first loss and the second loss.

公开(公告)号：US09818082B1

公开(公告)日：2017-11-14

申请号：US15009607

申请日：2016-01-28

Applicant: Amazon Technologies, Inc.

Inventor： Ali Sadighian ,  Salal Humair ,  Jun Tong ,  Xiaochang Hu ,  Mahmoud Ahmed Bishr ,  Chao Liu ,  Di Wu ,  Travis Francis Brayak ,  Patrick Ludvig Bajari ,  Deepak Bhatia

IPC: G06Q20/00 ,  G06Q10/08 ,  G06G1/14

CPC classification number: G06Q10/087

Abstract: Techniques for managing a removal channel may be described. In an example, a first estimate may be generated. The first estimate may be associated with removing a volume of items from an inventory space within a planning horizon through a removal channel. A decision to remove the volume of items may be accessed. The decision may be based on the first estimate and a second estimate associated with adding a capacity for inventorying an equivalent volume of items. Based on the decision, a constraint may be generated and imposed on an inventory level of an item during a time period of the planning horizon. A quantity of the item to remove within the time period through the removal channel may be estimated based on the constraint. Usage of the removal channel during the time period may be set based on the quantity of the item to remove.

公开(公告)号：US10373117B1

公开(公告)日：2019-08-06

申请号：US15352357

申请日：2016-11-15

Applicant: Amazon Technologies, Inc.

Inventor： Ali Sadighian ,  Hernan P. Awad ,  Andrew Bass ,  Alvaro Maggiar ,  Stevie Robinson ,  Nicholas Deming Sherman ,  Chengliang Zhang

IPC: G06Q10/08 ,  G06Q30/06

Abstract: Embodiments herein are directed to determining an expected demand for an item. The specialized computer system can model an impact to an expected demand for the item between a current planning horizon and a next planning horizon, including an estimated leftover demand to be fulfilled during the next planning horizon. As calculated, this leftover demand may be less than an unfulfilled demand from the current planning horizon and may be estimated based at least in part on the unfulfilled demand and on historical leftover demand between planning horizons.

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.