The preset invention is an inventory-parts control system and supervisory arrangement suitable for tracking the actual use of and accounting for the ultimate disposition of at least some of the individual pieces constituting an implant (or a complete implant construct), which is then being surgically engrafted in-vivo. This inventory-parts control system and supervisory arrangement is accurate, reliable, and fully functional for inventory part control purposes during the surgery; and will account for the ultimate disposition of each required component item of that implant (or complete implant construct) individually and in a timely manner, as each part is individually surgically introduced and engrafted in-vivo at a preselected anatomic site upon or within the body of a living subject.

The preset invention is an inventory-parts control system and supervisory arrangement suitable for tracking the actual use of and accounting for the ultimate disposition of at least some of the individual pieces constituting an implant (or a complete implant construct), which is then being surgically engrafted in-vivo. This inventory-parts control system and supervisory arrangement is accurate, reliable, and fully functional for inventory part control purposes during the surgery; and will account for the ultimate disposition of each required component item of that implant (or complete implant construct) individually and in a timely manner, as each part is individually surgically introduced and engrafted in-vivo at a preselected anatomic site upon or within the body of a living subject.

The present invention discloses an inventory monitoring system with an intelligent shelf that includes a power and data communications hub having sensory logic of an inventory application, which generates sensory logic data related to inventory items tracked. Further included is a server computing device that includes a working logic of the inventory application, which updates server records using the sensory logic data received from the intelligent shelf. An Internet enabled mobile computing device having an interactive display logic of the inventory application displays updated server records received from the server computing device.

The present invention discloses an inventory monitoring system with an intelligent shelf that includes a power and data communications hub having sensory logic of an inventory application, which generates sensory logic data related to inventory items tracked. Further included is a server computing device that includes a working logic of the inventory application, which updates server records using the sensory logic data received from the intelligent shelf. An Internet enabled mobile computing device having an interactive display logic of the inventory application displays updated server records received from the server computing device.

Event-based replenishment simulation for an enterprise supply chain is described. On a per item, per node, per epoch basis, the simulation may generate a stream of action events based on forecasted demand, supply chain logic, and policy inputs that are applied to a current-run state of the supply chain in order to yield a stream of observation events. Requested metrics may be received, and the observation events may then be transformed to predict values for the metrics as output of the simulation. The simulation may be repeated for a given epoch using discrete demand values from a demand distribution, for a plurality of epochs, and/or across a plurality of items at a plurality of nodes. Resultantly, the simulation output can be used for predicting a future run-state of the supply chain across items and nodes.

Event-based replenishment simulation for an enterprise supply chain is described. On a per item, per node, per epoch basis, the simulation may generate a stream of action events based on forecasted demand, supply chain logic, and policy inputs that are applied to a current-run state of the supply chain in order to yield a stream of observation events. Requested metrics may be received, and the observation events may then be transformed to predict values for the metrics as output of the simulation. The simulation may be repeated for a given epoch using discrete demand values from a demand distribution, for a plurality of epochs, and/or across a plurality of items at a plurality of nodes. Resultantly, the simulation output can be used for predicting a future run-state of the supply chain across items and nodes.

According to the embodiments illustrated herein, a method is disclosed. The method comprises receiving, by a computing device comprising a processor, an input from an operator device, wherein the input facilitates determining a task to be performed. Further, the method comprises activating, by the computing device, a first light device associated with a first location in a workplace in response to receiving the input, wherein the first location is associated with the task to be performed. Furthermore, the method comprises receiving, by the computing device, a first voice input from the operator device, indicative of an exception encountered during execution of the task. Additionally, the method includes modifying the task, in response to determining that the first voice input is indicative of the exception encountered during execution of the task.

A method and a device for determining a placement region of an item are disclosed. The method according to the present disclosure comprises: acquiring position information of an electronic identification at a bar display screen; and determining the placement region of the item according to the position information and a preset mapping relationship.

Embodiments of the present disclosure include apparatuses, computer-implemented methods, and computer program products for automatic product verification and shelf product gap analysis. Some embodiments utilize a multi-imager imaging engine to capture at least two image data objects associated with at least a near field and a far field via corresponding near and far-field imagers. The far field image data object in some embodiments is processed to identify, and/or detect and decode, product information on a product label at a shelving location for future processing. The near-field image data object may be processed to identify a product set located within the environment surrounding the product label. The information identified from each image data object may be processed to identify whether one or more product mismatches, pricing mismatches, and/or product gaps are present at the shelving location, with improved likelihood of success for each task.

An online shopping concierge system identifies a set of delivery orders and a set of delivery agents associated with a location. The system allocates the orders among the agents, each agent being allocated at least one order. The system obtains agent progress data describing travel progress of the agents to the location, and order preparation progress data describing progress of preparing the orders for delivery. The system periodically updates the allocation of the orders among the agents based on the agent progress data and the order preparation progress data. This involves re-allocating at least one order to a different delivery agent. When a first agent arrives at the location, the system assigns to the first agent the orders allocated to the first agent. The system then removes the first agent from the set of available delivery agents, and removes the assigned delivery orders from the set of delivery orders.