Abstract: A disclosed system for transport asset monitoring, for example monitoring truck trailer unloading progress at large retail locations, includes an artificial intelligence (AI) solution for managing operations at a facility. The AI solution analyzes current load percentage and other data to predict availability for moving the transport asset and ability to accept a new incoming transport asset. Predictions of availability can reduce response times, resulting in higher utilization rates for assets, thereby improving efficiency. An exemplary system includes a sensor configured to sense operation progress parameter data for a transport asset; and logic to receive the operation progress parameter data from the sensor; determine, using the AI solution and based at least on the operation progress parameter data, a predicted milestone parameter; and report the predicted milestone parameter to a remote node.

Abstract: A mobile assembly apparatus and a method of assembling a retail product utilizing a retail assembly are discussed. The mobile assembly apparatus may include a cabinet structure, an expandable work surface, a frame, wheels, an articulated arm, outrigger supports, a power supply, sensors, a hardware dispenser, and a computing device. The mobile assembly apparatus scans a machine readable identifier and retrieves assembly instructions for an item associated with the identifier. The computing device controls the outrigger supports and extendable surface based on the instructions. The computing device monitors the progress of the assembly of the time and validates the assembly based on assembly data from the sensors.

Abstract: A system and a method for the automated fulfillment of retail orders in a facility is disclosed. A sorting control device aggregates a plurality of orders into a master picklist divides the master picklist into sub-picklists based on a location of the items. The sub-picklists, a first location of an item, and the location of a dock to a conveyor system are transmitted to an autonomous guided vehicle (AGV). The AGV navigates to the first location and obtains the item. The AGV iterates the sub-picklist navigating and retrieving each item. The AGV navigates to the AGV dock of a conveyor system and deposits the items at an inlet of the conveyor system. The conveyor system scans each of the items as they pass through a scan tube. Based on the scanning, each item is directed by a set of computer controlled rollers and actuated platforms to a destination isolation wing.

Abstract: A disclosed system for transport asset monitoring, for example monitoring truck trailer unloading progress at large retail locations, includes an artificial intelligence (AI) solution for managing operations at a facility. The AI solution analyzes current load percentage and other data to predict availability for moving the transport asset and ability to accept a new incoming transport asset. Predictions of availability can reduce response times, resulting in higher utilization rates for assets, thereby improving efficiency. An exemplary system includes a sensor configured to sense operation progress parameter data for a transport asset; and logic to receive the operation progress parameter data from the sensor; determine, using the AI solution and based at least on the operation progress parameter data, a predicted milestone parameter; and report the predicted milestone parameter to a remote node.

Abstract: Described in detail herein is an autonomous object storage and retrieval system. In one embodiment, an object storage and retrieval system includes a computing system hosting a service application and in communication with a database and storage and retrieval apparatuses configured to store and dispense physical objects. Each storage and retrieval apparatus is in communication with the computing system. The computing system can transmit instructions to a first one of the storage and retrieval apparatuses to render the status of the first physical object on the interactive display of the storage and retrieval apparatus.

Abstract: A disclosed system for transporting items to destination locations, for example when receiving inventory at large retail locations, includes a conveyor assembly comprising a plurality of docking locations; an item identifier operable to read identification data; an orchestrator operable to, based at least on the identification data, pair items with transporter solutions; and a sorting controller operable to, based at least on the identification data and the pairings, route items to specific docking locations where transporter solutions are docked. Transporter solutions may include autonomous ground vehicles (AGVs) that bid on delivery tasks and can adjust shelf height in order to facilitate loading and unloading. The AGVs can thus provide an effectively seamless conveyor solution—either rollers on the conveyor surface move items or rollers on the underside of the AGV move the AGV with the items.

Abstract: A disclosed system for transporting items to destination locations, for example when receiving inventory at large retail locations, includes an autonomous ground vehicle (AGV) having at least one shelf; a shelf elevator operable to raise and lower the at least one shelf; a drive unit operable to move the AGV between a docking location and a destination location; the AGV able to position the at least one shelf at a different heights for loading and offloading items first height and a second height different from the first height, autonomously navigate between the docking location and the first destination location, and bid on delivery tasks. Some examples are further able to use a cartridge unit to expand cargo capacity. An AGV could analyze the currently-loaded weight and the remaining available space, and dynamically adjust the heights of the shelves according to the dimensions of the assigned items.

Abstract: A mobile assembly apparatus and a method of assembling a retail product utilizing a retail assembly are discussed. The mobile assembly apparatus may include a cabinet structure, an expandable work surface, a frame, wheels, an articulated arm, outrigger supports, a power supply, sensors, a hardware dispenser, and a computing device. The mobile assembly apparatus scans a machine readable identifier and retrieves assembly instructions for an item associated with the identifier. The computing device controls the outrigger supports and extendable surface based on the instructions. The computing device monitors the progress of the assembly of the time and validates the assembly based on assembly data from the sensors.

Abstract: Shipment receiving systems and methods are disclosed. Invoice and store inventory management data is provided to an invoice processor for assigning expected destinations to lanes of a material transporter having and a plurality of outlet lanes that each have an indicator. A scanner determines a case identifier for each case which is routed accordingly. One or more notifications is provided to the indicator of one or more of the plurality of outlet lanes. Received shipment data enables reconciliation of upstream supply change management systems and downstream store inventory systems.

Abstract: Shipment receiving systems and methods are disclosed. Invoice and store inventory management data is provided to an invoice processor for assigning expected destinations to lanes of a material transporter having and a plurality of outlet lanes that each have an indicator. A scanner determines a case identifier for each case which is routed accordingly. One or more notifications is provided to the indicator of one or more of the plurality of outlet lanes. Received shipment data enables reconciliation of upstream supply change management systems and downstream store inventory systems.

Abstract: Systems, methods, and machine-readable media are provided for processing of designated items in a facility. In exemplary embodiments, data is received from the scanning of a machine-readable identifier affixed to a first item and that type of item is identified as requiring special handling based on the data and unique criteria derived for the facility. The unique criteria are based at least in part on historical loss data associated with the facility. The item is placed in a secure storage location and one or more images taken by an imaging device of the designated item located in the secure storage location are taken. The images of the designated item in the secure storage location are associated with a record for the designated item in a database.

Abstract: Embodiments and features of a product moving system are disclosed herein. In one embodiment, a collapsible product mover comprises a first portion having proximal and distal end, and a top side and a bottom side; a second portion having a proximal and distal end, and a top side and a bottom side, wherein the proximal end of the second portion coupled with the distal end of the first portion; and a support structure beneath at least the first portion; wherein the first and second portions are configured to move between an open position and a folded position, wherein in the folded position the top side of the first portion faces the top side of the second portion.

Abstract: A folding wing for a conveyor is disclosed that can extend to facilitate sorting of items and providing additional space for docking locations. A first and second section each have a conveyor surface; and are coupled with a reverse-knee joint such that, in a folded configuration the conveyor surface of the first section and the conveyor surface of the second section are adjacent, and in an unfolded configuration, the first section conveyor surface and the second section conveyor surface form a contiguous conveyor surface. In some examples, the frame may be made of aluminum, and the rollers made of PVC, in order to reduce weight. In some examples, the folding section may measure approximately two feet by two feet. The folding assembly may drop down for even more space savings, when not in use, and be supported in an extended configuration with a second reverse knee joint.

Abstract: A disclosed system for transporting items to destination locations, for example automatically placing stacked products at selected locations within a large retail facility, includes a conveyor assembly, an item identifier, a robotic arm with a plurality of end effectors, and a sorter component operable to select one of the plurality of end effectors and remove items selected for diversion from the conveyor assembly with the robotic arm. The sorter component stacks the removed items, and the stacked items are transported to a selected location within the retail facility, for example using an autonomous ground vehicle (AGV).

Abstract: A disclosed system for transport asset monitoring, for example monitoring truck trailer unloading progress at large retail locations, includes an artificial intelligence (AI) solution for managing operations at a facility. The AI solution analyzes current load percentage and other data to predict availability for moving the transport asset and ability to accept a new incoming transport asset. Predictions of availability can reduce response times, resulting in higher utilization rates for assets, thereby improving efficiency. An exemplary system includes a sensor configured to sense operation progress parameter data for a transport asset; and logic to receive the operation progress parameter data from the sensor; determine, using the AI solution and based at least on the operation progress parameter data, a predicted milestone parameter; and report the predicted milestone parameter to a remote node.

Abstract: An automated sliced food vending kiosk provides a sanitary, sealed environment for storing, slicing, packaging, and dispensing sliced food items, such as deli meats and cheeses. Orders may be customized through a user interface, and be scheduled for preparation to be completed coincidental with an expected approximate retrieval time. In some examples, wireless capability detects customer arrival, which is used as a trigger to begin preparing an earlier-submitted order. Food safety may be improved by correlating food item chubs with customer profiles, to provide alert recipient information, if needed. The kiosk may be tied in with retail inventory management for automated reordering of food items and reconciling slicing operations with sales and inventory levels.

Abstract: Embodiments and features of a product moving system are disclosed herein. In one embodiment, a collapsible product mover comprises a first portion having proximal and distal end, and a top side and a bottom side; a second portion having a proximal and distal end, and a top side and a bottom side, wherein the proximal end of the second portion coupled with the distal end of the first portion; and a support structure beneath at least the first portion; wherein the first and second portions are configured to move between an open position and a folded position, wherein in the folded position the top side of the first portion faces the top side of the second portion.

Abstract: Systems, methods, and machine readable media are provided for relabeling items. A computing device is communicatively coupled to a scanning device, a printing device, and an inventory system. The computing device identifies at least one of the items as missing an expected label type, the expected label indicating a location where the item should be stocked. The system scans the item via the scanning device, queries the inventory system to determine a location for the item. The system prints, via the printing device, a label indicating a location where the item should be stocked in the retail facility, applies the label to the item and sorts the item, via the sorting apparatus, to transport the item to one of the outlets based on the location indicated on the label.

Abstract: Described in detail herein is an autonomous object storage and retrieval system. In one embodiment, an object storage and retrieval system includes a computing system hosting a service application and in communication with a database and storage and retrieval apparatuses configured to store and dispense physical objects. Each storage and retrieval apparatus is in communication with the computing system. The computing system can transmit instructions to a first one of the storage and retrieval apparatuses to render the status of the first physical object on the interactive display of the storage and retrieval apparatus.

Abstract: An example adjustable product display apparatus is provided that includes a body configured to be mounted to a shelf. The body includes a proximal end, a distal end, a bottom surface extending between the proximal end and the distal end, and a top surface extending between the proximal end and the distal end at an angle relative to the bottom surface. The top surface is configured to support one or more products thereon. A distance between the bottom surface and the top surface increases from the proximal end to the distal and the distance at the distal end of the body defining a rear height of the body. The adjustable product display apparatus includes an expandable support disposed at the distal end of the body. Adjustment of the expandable support varies a height of the expandable support and simultaneously adjusts the rear height of the body.