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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
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.
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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
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.
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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
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.
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公开(公告)号:US10922646B1
公开(公告)日:2021-02-16
申请号:US15716299
申请日:2017-09-26
Applicant: Amazon Technologies, Inc.
Inventor: Salal Humair , Hernan P. Awad , Deepak Bhatia , Onur Özkök , Tolga Han Seyhan , Arjun Krishna Subramaniam , Yan Xia , Chengliang Zhang
Abstract: Features related to systems and methods for predictive estimation for network inventory planning for items for distribution through a multi-echelon network are disclosed. The problem may be modeled to account for demand for an item that may be satisfied by fulfillment centers within the network. The model considers benefits to ensuring adequate inventory to meet expected demand streams along with any savings accruing from a lower transfer and salvage costs.
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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
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.
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