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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
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.
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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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