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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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