Automated guest activity detection

    公开(公告)号:US12124983B2

    公开(公告)日:2024-10-22

    申请号:US17463029

    申请日:2021-08-31

    Abstract: A system for predicting a particular intended action of a guest on a resort property is provided, the system including a server configured to connected to and to receive data from a mobile device of the guest or via camera images of the guest; a plurality of interaction devices, each of the interaction devices being configured to connect to the mobile device when the guest is within a particular distance of a respective interaction device and/or capture digital images of the guest, wherein the server is configured to obtain guest information from the respective interaction device; and a processor configured, based on the guest information, to make a prediction of the guest's intended action or destination; and to initiate a business workflow within the resort property based upon the prediction of that guest's intended action or destination.

    Curbside Branch Optimization
    4.
    发明公开

    公开(公告)号:US20240330809A1

    公开(公告)日:2024-10-03

    申请号:US18740869

    申请日:2024-06-12

    CPC classification number: G06Q10/06315 G07F19/209 H04W4/021 H04W4/029 H04W4/30

    Abstract: The present disclosure involves, systems, software, and computer-implemented methods for determining a location for a curbside branch. One example system comprises a memory storing instructions; at least one hardware processor interoperably coupled with the memory, wherein the instructions instruct the at least one hardware processor to: obtain historical and current exchange data of users associated with a particular location; obtain external data about the particular location; enrich the historical and current exchange data with the external data; identify one or more analysis rules to apply to the enriched data to determine an estimated demand for services associated with deployment of a mobile site at the particular location; compare estimated demand to a predetermined threshold; and in response to a determination that the estimated demand exceeds the predetermined threshold, identify the particular location for mobile site deployment.

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