A system and method are disclosed for augmented visualization of a planogram of one or more supply chain entities. Embodiments include creating a planogram comprising one or more products, the products associated with a location, and retrieving an image of the planogram and one or more customer segments. Embodiments further include mapping one or more coordinates in an image of a planogram that correspond to the one or more customer segments and rendering an augmented visualization comprising altering the image of a planogram at one or more coordinates to illustrate the one or more customer segments.

A system and method are disclosed for executing and monitoring changes in a warehouse plan. The method includes receiving an initial warehouse plan, receiving a changed warehouse plan, receiving user input defining a scope, capturing, via sensors, real-time data to determine execution changes, identifying warehouse execution changes based on the captured real-time data, outputting an execution changes report, using the received initial warehouse plan, the received changed warehouse plan, the identified warehouse execution changes and the defined scope of warehouse analysis to identify changes in the initial warehouse plan and generate required tasks, generating a task and changes report for tasks based on the identified changes, receiving warehouse information, determining a task priority and task schedule, outputting a dynamic task sequence and task schedule, beginning real-time electronic monitoring of user performance, and in response to the monitoring of user performance, changing the dynamic task sequence and task schedule.

A system and method are disclosed for augmented visualization of a planogram of one or more supply chain entities. Embodiments include creating a planogram comprising one or more products, the products associated with a location, and retrieving an image of the planogram and one or more customer segments. Embodiments further include mapping one or more coordinates in an image of a planogram that correspond to the one or more customer segments and rendering an augmented visualization comprising altering the image of a planogram at one or more coordinates to illustrate the one or more customer segments.

A tool, method, and system for assessing an incremental value of one or more items in an item assortment are disclosed. The tool can receive historical purchasing data, which can include a plurality of customers purchasing one or more items of a plurality of items in an item assortment. The tool can use the historical purchasing data for the plurality of customers to simulate execution of removal of an item from the item assortment, wherein removal of the item from the item assortment causes an incremental loss associated with the item. The tool can order any number of items of the historical purchasing data. The tool can execute scenario simulations, and the tool can account for probabilities when interacting with the historical purchasing data. The tool can display assessment data and receive inputs via an interactive user interface. The tool can launch the assessment data in a downstream application.

A transmission device according to the present technology includes an image acquisition unit that acquires a first shelf image captured at a first time for a product shelf on which a product is displayed, and a second shelf image captured for the product shelf at a second time after the first time, a region specification unit that specifies a difference region between the first shelf image and the second shelf image, a cut-out processing unit that cuts out a partial image from the second shelf image so that the difference region is included, and a transmission processing unit that transmits the first shelf image and the partial image to a reception device.

One or more first images depicting removal of a first inventory item of a plurality of inventory items of a particular item type from an inventory storage area are obtained. The one or more first images are processed with one or more machine-learned computer vision models to generate one or more model outputs. The one or more model outputs identify an item type for the inventory item. The one or more model outputs comprise values extracted from a label of the first inventory item. The first inventory item is identified from the plurality of inventory items of the particular item type based on the values extracted from the label of the first inventory item. Responsive to identifying the first inventory item, a status is assigned to the first inventory item indicating that the first inventory item has been removed from the inventory storage area.

A method includes receiving, by a computer, a plurality of images of portions of a shelf unit from one or more user devices. Each image captures a different portion of the shelf unit. The method also includes creating, by the computer, a planogram of items on the shelf unit using image data from the plurality of images of the portions. The method also includes additional processing using the planogram.

User input(s) indicative of a request to create a first storage compartment for an intelligent storage rack are obtained. The intelligent storage rack comprises physical storage space, and the first storage compartment comprises a representation of a portion of the physical storage space. Images captured from camera devices installed to the intelligent storage rack are received. Each of the images depicts the physical storage space from differing perspectives. Responsive to a second user input that selects a first image, the first image is processed with a machine-learned model to generate a predicted region of interest (ROI), wherein the predicted region of interest comprises a visual representation of the first storage compartment. A first data object is stored to a data structure associated with the intelligent storage rack descriptive of the predicted ROI, wherein the first data object associates the predicted ROI to the first storage compartment.

Systems and methods generate and use an inventory map from a photograph of at least one physical object within a physical space. A server receives a photograph captured by a client device, parses the photograph to decode identification markers associated with an object, a container that holds the object, or a location indicator, and creates or updates an inventory record with a hierarchical location subrecord (e.g., address, building, room or space, shelf or collection space, container). When accompanying sensor data (orientation, positioning, inertial, depth) is available, the system determines and stores three-dimensional position attributes for the object within the container or space. A space component produces a two-dimensional plan and/or a three-dimensional view that places graphical representations according to the stored associations and positions. In some implementations, the system requests assignment of physical storage space from a storage provider and updates the inventory record with allocation results.

An information processing apparatus includes a processor configured to manage shelf movement in a keeping region composed of multiple adjacent unit regions, each capable of holding a shelf. The processor acquires information on target shelves and their respective destination regions, and divides the target shelves into groups. For each group, it determines an exclusive region including the current position of the target shelf, its destination, and an adjacent empty region. Based on this, the processor generates a movement plan in which other shelves within the exclusive region are moved to relocate the empty region, enabling the target shelf to reach its destination.