Interactive machine learning assistant

    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.

    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.

    Automated guided vehicle for transporting objects

    公开(公告)号:US11630447B1

    公开(公告)日:2023-04-18

    申请号:US16538237

    申请日:2019-08-12

    Applicant: Staples, Inc.

    Abstract: An automated guided vehicle (AGV) is described. In an example implementation, the AGV may include an AGV body; one or more elevator mechanisms coupled to the AGV body; a support surface coupled to the AGV body and vertically movable along the AGV body by the one or more elevator mechanisms, the support surface supporting an object from underneath the object when the object is placed on the support surface; one or more arms coupled to the AGV body and vertically movable along the AGV body by the one or more elevator mechanisms, the one or more arms articulating to move the object from a first position of the object and place the object on the support surface; and an AGV controller configured to control one or more operations of the AGV.

    AUTOMATED GUIDED VEHICLE CONTROL AND ORGANIZING INVENTORY ITEMS USING STOCK KEEPING UNIT CLUSTERS

    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.

    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:US20210294353A1

    公开(公告)日:2021-09-23

    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 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.

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