Automated guided vehicle control and organizing inventory items using stock keeping unit clusters

    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.

    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.

    Automated guided vehicle control and organizing inventory items using predictive models for slow item types

    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.

    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.

    Automated guided vehicle control and organizing inventory items using dissimilarity models

    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.

    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.

    Automated guided vehicle control and organizing inventory items using stock keeping unit clusters

    公开(公告)号:US11049065B2

    公开(公告)日:2021-06-29

    申请号:US16024744

    申请日:2018-06-30

    Applicant: Staples, Inc.

    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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