Abstract: The present disclosure provides systems and methods for data analysis. An example method may comprise receiving a data stream comprising a plurality of records. A record of said plurality of records may comprise a plurality of attributes. The method may further comprise classifying each of said plurality of attributes as a dimension or a measure. The method may further comprise dividing said plurality of records into a plurality of time periods. The method may further comprise, for a time period of said plurality of time periods, generating one or more segments of records. Each segment of the one or more segments may comprise records having a combination of dimensions with unique values as compared to other segments of said one or more segments. The method may further comprise applying an algorithm to said one or more segments to generate an output. The method may further comprise displaying, on a graphical user interface, a graphical representation of said output to a user.

Abstract: A system for transporting inventory in a storage facility is disclosed. The system includes a control server, a robotic apparatus, and a payload (i.e., a mobile storage unit (MSU)). The robotic apparatus includes a track plate, a top plate superimposing the track plate, and a latch lock mechanism including a plurality of latch locks. The control server communicates instructions to the robotic apparatus for transporting the MSU. Based on the instructions, the robotic apparatus aligns beneath a base plate that is attached to a bottom surface of the MSU and raises the top plate to lift the MSU. When the top plate moves relative to the track plate, the plurality of latch locks engage with the base plate of the MSU based on a degree of alignment between the top plate and the base plate, to secure the MSU with the robotic apparatus.

Abstract: A method and a system for transporting inventory in a storage facility is provided. The system includes an inventory storage unit (ISU) and a transport vehicle. The ISU includes a base shelf, and a plurality of support plates mounted below the base shelf. The transport vehicle includes a top plate and a control device that controls movement of the top plate. Upon actuation of an interlocking mechanism of the transport vehicle that is aligned beneath the ISU, the top plate is lifted to a first height and then rotated for engaging the top plate with the support plates of the ISU. The engaged top plate is further lifted to a second height to lift the ISU off the work floor of a storage facility. Upon lifting the ISU, the transport vehicle transports the ISU to another location in the storage facility.

Abstract: A method and a system for transporting inventory in a storage facility is provided. The system includes an inventory storage unit (ISU) and a transport vehicle. The ISU includes a base shelf, and a plurality of support plates mounted below the base shelf. The transport vehicle includes a top plate and a control device that controls movement of the top plate. Upon actuation of an interlocking mechanism of the transport vehicle that is aligned beneath the ISU, the top plate is lifted to a first height and then rotated for engaging the top plate with the support plates of the ISU. The engaged top plate is further lifted to a second height to lift the ISU off the work floor of a storage facility. Upon lifting the ISU, the transport vehicle transports the ISU to another location in the storage facility.

Abstract: The testing of driver output is automated. Embodiments of the invention filter out data that is known to change between two similar outputs of a driver. By filtering this dynamic data out, the remaining data can be compared to known-good data to identify any variations which would appear in a physical manifestation (e.g., a printout) of the data.

Abstract: The testing of driver output is automated. Embodiments of the invention filter out data that is known to change between two similar outputs of a driver. By filtering this dynamic data out, the remaining data can be compared to known-good data to identify any variations which would appear in a physical manifestation (e.g., a printout) of the data.