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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：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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3.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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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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Patent Agency Ranking
6.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：US20190156357A1
公开(公告)日：2019-05-23
申请号：US16169923
申请日：2018-10-24
Applicant: Staples, Inc.
Inventor： Evangelos Palinginis , Nitin Verma , Michael Bhaskaran , Jian Jiao
Abstract: In an example embodiment, systems and methods are described for demand prediction and profitability modeling based on heterogeneous data and blended clustering models. Data for a plurality of items is received and differentiated into a first set of good items and a second set of bad items. Good items and bad items may be indicated by a threshold for a prediction accuracy metric, such as weighted Mean Average Percentage Error (MAPE). A first model for predicted demand levels of the good items is generated that excludes cross-cluster effects with the bad items. A second model of the bad items is generated that includes a residual correction and cross-cluster effects with the good items. A predicted demand of a particular item is generated based on a cluster-level regression model and at least one of the first model and the second model.
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公开(公告)号：US12106351B1
公开(公告)日：2024-10-01
申请号：US17807861
申请日：2022-06-20
Applicant: Staples, Inc.
Inventor： Nitin Verma , Randall L. Cogill , Michael Bhaskaran
IPC: G06Q30/00 , G06F18/2431 , G06N20/00 , G06Q30/0601
CPC classification number: G06Q30/0629 , G06F18/2431 , G06N20/00
Abstract: The technology includes an example method for determining matching items. In some implementations, the method may determine a first set and second set of attributes and attribute types associated with a first and second item, respectively, based on description data associated with the items. The method may determine an attribute-type indicator for a pairing of a first attribute of the first set with a second attribute of the second set based on attribute types of the attributes, compute an attribute value for the pairing based on a similarity between the first and second attribute, and compute a match score for a combination of the first and second items based on the attribute value and attribute-type indicator. The method may also, in response to receiving a data query identifying the first item, provide a graphical user interface including a graphical element representing the second item based on the match score.
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公开(公告)号：US11367116B1
公开(公告)日：2022-06-21
申请号：US16288105
申请日：2019-02-28
Applicant: Staples, Inc.
Inventor： Nitin Verma , Randall L Cogill , Michael Bhaskaran
Abstract: The technology includes an example method for determining matching items. In some implementations, the method may determine a first set and second set of attributes and attribute types associated with a first and second item, respectively, based on description data associated with the items. The method may determine an attribute-type indicator for a pairing of a first attribute of the first set with a second attribute of the second set based on attribute types of the attributes, compute an attribute value for the pairing based on a similarity between the first and second attribute, and compute a match score for a combination of the first and second items based on the attribute value and attribute-type indicator. The method may also, in response to receiving a data query identifying the first item, provide a graphical user interface including a graphical element representing the second item based on the match score.
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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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