Abstract: Some embodiments provide systems and methods to enable object replacement. A central computing system can receive data associated with quantities of like physical objects from remote systems. The central computing system can adjust the first quantity of the like physical objects stored in the first one of the remote systems based on the second quantity of the like physical objects stored in the at least another one of the remote systems. The central computing system can determine the like physical objects are absent from the facility. An autonomous robot device can detect a vacant space at the designated location at which the like physical objects are supposed to be disposed. The autonomous robot device using the image capturing device can capture an image of the vacant space. The central computing system can determine a set of like replacement physical objects to be disposed in the vacant space.

Abstract: Systems and methods are provided for managing shipment of a plurality of online orders for one or more carriers from a distribution center. The systems and methods include receiving online orders that each comprise a product and a delivery destination for delivering the product, determining the delivery destination for delivering the product of each of the online orders, determining a distribution center to fulfill the online orders, determine a route for each carrier to deliver products of the online orders. The route for each of the carriers can be determined based on a score, and can be in a generally curve shape starting from the distribution center, through the delivery destinations, and ending at the distribution center.

Abstract: Particular data is selected from a members-based dataset to provide a resultant training corpus. A first neural network receives that training corpus and generates a first trained machine learning model. That first trained machine learning model can predict member engagement score values for each of a plurality of candidate variable values. The aforementioned training corpus can also be provided to a second neural network to generate a second trained machine learning model. That second trained machine learning model can then be used to predict member engagement score values for each of a plurality of initial-state variable values. The aforementioned member engagement score values for each of the plurality of candidate variable values can then be consolidated with the member engagement score values for each of a plurality of initial-state variable values to thereby provide resultant consolidated member engagement score values.

Abstract: In various examples, a system identify a first issue object associated with the alert by making a first set of determinations, based on an alert of an active issue of a system resource. Additionally, the system can determine whether the active issue associated with the first issue object can be automatically corrected by one or more self-healing processes, based on the first issue object. Moreover, the system can implement the one or more self-healing processes, based on determining that the active issue associated with the first issue object can be automatically corrected by one or more self-healing processes.

Abstract: A system for generating a two-dimensional planogram. The system generates, for a facility in a cluster of facilities, a planogram for sets of items using an intermediate file.

Abstract: Some embodiments provide systems and methods to enable object replacement. A central computing system can receive data associated with quantities of like physical objects from remote systems. The central computing system can adjust the first quantity of the like physical objects stored in the first one of the remote systems based on the second quantity of the like physical objects stored in the at least another one of the remote systems. The central computing system can determine the like physical objects are absent from the facility. An autonomous robot device can detect a vacant space at the designated location at which the like physical objects are supposed to be disposed. The autonomous robot device using the image capturing device can capture an image of the vacant space. The central computing system can determine a set of like replacement physical objects to be disposed in the vacant space.

Abstract: A dynamic file creation including a processor coupled to a data storage device and configured to execute a content downloading module system is provided. The content downloading module is configured to acquire a source identifier associated with a data repository. The content downloading module executes a plurality of separate and distinct download content portion requests on the data repository for portions of data pursuant to user specific parameters. The content downloading module downloads the portions of the data from the data repository into the data storage device as separate and distinct intermediate data files. The content downloading module combines the separate and distinct intermediate data files corresponding to each of the portions of the data into a consolidated data file.

Abstract: Systems, methods and computer-readable media for automating the restocking of shelves process by sending a notification when a product on a shelf has reached, or will reach, an undesired level of emptiness. This is determined using imaging sensors, such as cameras, which can calculate how full or empty a respective shelf is and predict when the shelf will need to be restocked. When the restocking time arrives, the notification can be sent to automated systems, which automatically cause new products to be stocked on the shelf via a pneumatic pipe system.

Abstract: A system for generating a two-dimensional planogram. The system generates, for a facility in a cluster of facilities, a planogram for sets of items using an intermediate file.

Abstract: In some embodiments, systems and methods are provided to forecast denomination needs at one or more retail shopping facilities. The system comprises a control circuit configured to determine a predicted optimized quantity of each of multiple different denominations of currency to be available for use at a retail shopping facility over a future period of time as a function of historic needs; select for each of the multiple denominations one of multiple different models; forecast a quantity of each of the multiple denominations to be present at the termination of the first future period of time by applying the selected one of the models; and determine, for each of the multiple denominations, whether the forecasted quantity of the denomination is greater than a threshold quantity of that denomination of the currency.

Abstract: Systems, methods and computer-readable media for providing e-commerce suppliers an alternative shipping and distribution system based on real-time sales and demand being coupled with iterative machine learning processes. As an example, an e-commerce supplier can contract with a retailer to have products sold in retail locations belonging to the retailer. However, rather than the retailer providing to the e-commerce supplier a quoted price for acquiring the merchandise, the retailer can provide two prices: one for if the e-commerce supplier delivers the merchandise to a distribution center, and another if the e-commerce supplier delivers the merchandise directly to a retail location, from which the retailer will redistribute the merchandise to other retail locations.

Abstract: A virtual display system in a facility is discussed. An exemplary system includes a server, client device, interactive touchscreen, databases, and a product retrieval module. One or more large interactive touchscreens are used to simultaneously display images of multiple products at an actual size, allow their manipulation, accept customization input and update the images based on the requested customization. Dynamic pricing tied to the customization is also displayed.

Abstract: Described in detail herein are automated routing systems and methods. A first conveyer belt system can receive and transport storage containers. A label including an object machine-readable element encoded with an object identifier is disposed on each of the storage containers. The conveyer carousel system coupled to the first conveyer belt system can receive the storage containers from the first conveyer belt system. A diverter can guide the storage containers to remain on the conveyer carousel system or route each storage container one of a geographically distributed kiosks external to the facility. The geographically distributed kiosk can receive an identifier associated with the label of a specified one of the storage containers can control the diverter to route the specified one of the storage containers from the conveyer carousel system to the geographically distributed kiosks in response to receipt of the identifier.

Abstract: An example system for solving a non-deterministic polynomial-time problem associated with item assortment selection from a plurality of items is described. The system includes databases configured to electronically store data corresponding to item categories and attributes of items. The system includes a computing system configured to receive a selection of an item category, determine items and attributes of the items associated with the selected item category, select a sample of the items, execute a first module to generate a first assortment from the sample of the items (the first module executing according to a non-polynomial processing time), and execute a second module to generate a second assortment from the sample of the items. The computing system validates the second assortment based on the first assortment and executes the second module to generalize the second assortment for the total number of items according to a polynomial processing time.

Abstract: Described in detail herein are systems and methods for an object replacement system. A central computing system can receives data associated with quantities of like physical objects from remote systems. The central computing system can adjust the first quantity of the like physical objects stored in the first one of the remote systems based on the second quantity of the like physical objects stored in the at least another one of the remote systems. The central computing system can determine the like physical objects are absent from the facility. An autonomous robot device can detect a vacant space at the designated location at which the like physical objects are supposed to be disposed. The autonomous robot device using the image capturing device can capture an image of the vacant space. The central computing system can determine a set of like replacement physical objects to be disposed in the vacant space.

Abstract: A dynamic file creation including a processor coupled to a data storage device and configured to execute a content downloading module system is provided. The content downloading module is configured to acquire a source identifier associated with a data repository. The content downloading module executes a plurality of separate and distinct download content portion requests on the data repository for portions of data pursuant to user specific parameters. The content downloading module downloads the portions of the data from the data repository into the data storage device as separate and distinct intermediate data files. The content downloading module combines the separate and distinct intermediate data files corresponding to each of the portions of the data into a consolidated data file.

Abstract: Systems, methods and computer-readable media for automating the restocking of shelves process by sending a notification when a product on a shelf has reached, or will reach, an undesired level of emptiness. This is determined using imaging sensors, such as cameras, which can calculate how full or empty a respective shelf is and predict when the shelf will need to be restocked. When the restocking time arrives, the notification can be sent to automated systems, which automatically cause new products to be stocked on the shelf via a pneumatic pipe system.

Abstract: Systems, methods and computer-readable media for automating the restocking of shelves process by sending a notification when a product on a shelf has reached, or will reach, an undesired level of emptiness. This is determined using imaging sensors, such as cameras, which can calculate how full or empty a respective shelf is and predict when the shelf will need to be restocked. When the restocking time arrives, the notification can be sent to automated systems, which automatically cause new products to be stocked on the shelf via a conveyor system.

Abstract: Systems, methods and computer-readable media for automating the restocking of shelves process by sending a notification when a product on a shelf has reached, or will reach, an undesired level of emptiness. This is determined using imaging sensors, such as cameras, which can calculate how full or empty a respective shelf is and predict when the shelf will need to be restocked. When the restocking time arrives, the notification can be sent to automated systems, which automatically cause new products to be stocked on the shelf, or can be sent to human beings (such as store associates) who can then perform the restocking.

Abstract: Systems and methods are provided for managing shipment of a plurality of online orders for one or more carriers from a distribution center. The systems and methods include receiving online orders that each comprise a product and a delivery destination for delivering the product, determining the delivery destination for delivering the product of each of the online orders, determining a distribution center to fulfill the online orders, determine a route for each carrier to deliver products of the online orders. The route for each of the carriers can be determined based on a score, and can be in a generally curve shape starting from the distribution center, through the delivery destinations, and ending at the distribution center.