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1.发明申请公开(公告)号：US20200034780A1
公开(公告)日：2020-01-30
申请号：US16044210
申请日：2018-07-24
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
Abstract: In an example embodiment, a method determines a container containing one or more items associated with one or more item types, the container located at a current position in a storage facility; determines one or more order likelihoods of the one or more item types contained in the container; determines a container utilization likelihood of the container based on the one or more order likelihoods of the one or more item types contained in the container; determines an optimal position for the container in the storage facility based on the container utilization likelihood of the container, the optimal position being different from the current position of the container; and instructing an automated guided vehicle (AGV) to transport the container from the current position of the container to the optimal position of the container in the storage facility.
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公开(公告)号：US11195143B1
公开(公告)日：2021-12-07
申请号：US16521393
申请日：2019-07-24
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran , Xiaowei Lu , Christopher Yong
Abstract: In an example embodiment, a method may generate an item layout map for a shelving unit, where the shelving unit stores item types associated with a product category. The method may determine product attributes associated with the product category and divider configurations of the shelving unit, where a divider configuration divides the shelving unit into one or more candidate regions. The method may generate an ontology entry associated with a product attribute and the divider configuration based on the item layout map and the divider configuration of the shelving unit, the ontology entry indicating a regional entropy values of a product attribute for the candidate regions generated by the divider configuration. In some instances, the method may generate a guidance instruction related to the product attribute of the product category based on the ontology entry and provide the guidance instruction to a user.
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公开(公告)号：US11030573B2
公开(公告)日：2021-06-08
申请号：US16044210
申请日：2018-07-24
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
Abstract: In an example embodiment, a method determines a container containing one or more items associated with one or more item types, the container located at a current position in a storage facility; determines one or more order likelihoods of the one or more item types contained in the container; determines a container utilization likelihood of the container based on the one or more order likelihoods of the one or more item types contained in the container; determines an optimal position for the container in the storage facility based on the container utilization likelihood of the container, the optimal position being different from the current position of the container; and instructing an automated guided vehicle (AGV) to transport the container from the current position of the container to the optimal position of the container in the storage facility.
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4.发明申请公开(公告)号：US20200005226A1
公开(公告)日：2020-01-02
申请号：US16024744
申请日：2018-06-30
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
IPC: G06Q10/08
Abstract: A method determines a processing cluster including one or more stock keeping units (SKUs); divides the processing cluster into a first cluster and a second cluster based on SKU affinities between the one or more SKUs in the processing cluster; determines a first SKU of the first cluster to be replicated to the second cluster based on a demand correlation between the first SKU of the first cluster and a second SKU of the second cluster; replicates the first SKU of the first cluster to the second cluster; responsive to replicating the first SKU of the first cluster to the second cluster, determines whether the first cluster and the second cluster satisfy a defined constraint; and responsive to determining that the first cluster and the second cluster satisfy the defined constraint, assigns the first cluster to a first physical location and assigning the second cluster to a second physical location.
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公开(公告)号：US12051039B1
公开(公告)日：2024-07-30
申请号：US17457906
申请日：2021-12-06
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran , Xiaowei Lu , Christopher Yong
IPC: G06Q10/00 , G06F9/451 , G06Q10/087 , G06N20/00
CPC classification number: G06Q10/087 , G06F9/453 , G06N20/00
Abstract: In an example embodiment, a method may generate an item layout map for a shelving unit, where the shelving unit stores item types associated with a product category. The method may determine product attributes associated with the product category and divider configurations of the shelving unit, where a divider configuration divides the shelving unit into one or more candidate regions. The method may generate an ontology entry associated with a product attribute and the divider configuration based on the item layout map and the divider configuration of the shelving unit, the ontology entry indicating a regional entropy values of a product attribute for the candidate regions generated by the divider configuration. In some instances, the method may generate a guidance instruction related to the product attribute of the product category based on the ontology entry and provide the guidance instruction to a user.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20210319393A1
公开(公告)日：2021-10-14
申请号：US17357996
申请日：2021-06-25
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
IPC: G06Q10/08
Abstract: A method determines a processing cluster including one or more stock keeping units (SKUs); divides the processing cluster into a first cluster and a second cluster based on SKU affinities between the one or more SKUs in the processing cluster; determines a first SKU of the first cluster to be replicated to the second cluster based on a demand correlation between the first SKU of the first cluster and a second SKU of the second cluster; replicates the first SKU of the first cluster to the second cluster; responsive to replicating the first SKU of the first cluster to the second cluster, determines whether the first cluster and the second cluster satisfy a defined constraint; and responsive to determining that the first cluster and the second cluster satisfy the defined constraint, assigns the first cluster to a first physical location and assigning the second cluster to a second physical location.
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公开(公告)号：US20210294353A1
公开(公告)日：2021-09-23
申请号：US17341003
申请日：2021-06-07
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
Abstract: In an example embodiment, a method determines a container containing one or more items associated with one or more item types, the container located at a current position in a storage facility; determines one or more order likelihoods of the one or more item types contained in the container; determines a container utilization likelihood of the container based on the one or more order likelihoods of the one or more item types contained in the container; determines an optimal position for the container in the storage facility based on the container utilization likelihood of the container, the optimal position being different from the current position of the container; and instructing an automated guided vehicle (AGV) to transport the container from the current position of the container to the optimal position of the container in the storage facility.
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8.发明授权公开(公告)号：US11681982B2
公开(公告)日：2023-06-20
申请号：US17357996
申请日：2021-06-25
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
IPC: G06Q10/087
CPC classification number: G06Q10/087
Abstract: A method determines a processing cluster including one or more stock keeping units (SKUs); divides the processing cluster into a first cluster and a second cluster based on SKU affinities between the one or more SKUs in the processing cluster; determines a first SKU of the first cluster to be replicated to the second cluster based on a demand correlation between the first SKU of the first cluster and a second SKU of the second cluster; replicates the first SKU of the first cluster to the second cluster; responsive to replicating the first SKU of the first cluster to the second cluster, determines whether the first cluster and the second cluster satisfy a defined constraint; and responsive to determining that the first cluster and the second cluster satisfy the defined constraint, assigns the first cluster to a first physical location and assigning the second cluster to a second physical location.
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公开(公告)号：US11593756B2
公开(公告)日：2023-02-28
申请号：US17341003
申请日：2021-06-07
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
IPC: G06Q10/08 , G06Q10/087 , B65G1/04 , B65G1/137 , G06Q30/0202 , G06N5/046 , G05D1/00
Abstract: In an example embodiment, a method determines a container containing one or more items associated with one or more item types, the container located at a current position in a storage facility; determines one or more order likelihoods of the one or more item types contained in the container; determines a container utilization likelihood of the container based on the one or more order likelihoods of the one or more item types contained in the container; determines an optimal position for the container in the storage facility based on the container utilization likelihood of the container, the optimal position being different from the current position of the container; and instructing an automated guided vehicle (AGV) to transport the container from the current position of the container to the optimal position of the container in the storage facility.
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10.发明授权公开(公告)号：US11498776B1
公开(公告)日：2022-11-15
申请号：US16530864
申请日：2019-08-02
Applicant: Staples, Inc.
Inventor： Sandeep Sikka , Nitin Verma , Michael Bhaskaran
Abstract: In an embodiment, a method may determine a first candidate item type and a second candidate item type for a container. The method may determine appearance feature(s) of the first candidate item type and appearance feature(s) of the second candidate item type. The method may determine, using a trained dissimilarity model, a distinguishability score between the first candidate item type and the second candidate item type based on the appearance feature(s) of the first candidate item type and the appearance feature(s) of the second candidate item type. The method may determine to store the first candidate item type and the second candidate item type together in the container based on the distinguishability score between the first candidate item type and the second candidate item type. In some instances, the method may place item(s) of the first candidate item type and item(s) of the second candidate item type in the container.
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