Abstract: Described herein are systems and methods for determining whether a scanning motion occurred during a checkout process. The system includes a checkout lane having a scanning area that receives products to be purchased by a user, scanning devices, a point of sale (POS) terminal that identifies a product based on a scan, using the scanning devices, of a product identifier for the product as the product is moved through the scanning area, and an overhead camera that captures image data of the user's body movements and transmits, to a computing system, the image data. The computing system can, during runtime, identify whether a scanning motion occurred during the user's body movements based on application of one or more motion identification models to the image data and determine, based on identification of the scanning motion, that the user performed an affirmative scan during the checkout process.

Abstract: A computer system identifies high-value information in data streams. The computer system receives a filter graph definition. The filter graph definition includes a plurality of filter nodes, each filter node including one or more filters that accept or reject packets. Each respective filter is categorized by a number of operations, and the one or more filters are arranged in a general graph. The computer system performs one or more optimization operations, including: determining if a closed circuit exists within the graph, and when the closed circuit exists within the graph, removing the closed circuit; reordering the filters based at least in part on the number of operations; and parallelizing the general graph such that the one or more filters are configured to be executed on one or more processors.

Abstract: A system and method for managing and scheduling changes across an organization. A change management computer system can receive a request to implement a proposed change for a facility of the organization, determine a change score for the proposed change that quantifies a magnitude of impact for the proposed change on the facility, access, from a database, data records identifying other changes currently scheduled to be performed by the facility over a plurality of time periods, determine scheduled change scores for the facility for the plurality of time periods based on other changes scores for other scheduled changes, identify time periods from the plurality of time periods as suitable for scheduling the proposed change based on the scheduled change scores and change score for the proposed change, and output identification of the time periods as suitable for scheduling the proposed change for the facility.

Abstract: Aspects of the present disclosure describe systems and methods for continuously monitoring the health of a point-of-sale (POS) device, at a central location, and executing self-healing software from the malfunctioning POS device. The self-healing software may be stored locally on the POS device itself, occupying a small footprint and therefore easily be stored in and execute on both older and newer POS devices. Embodiments further describe a central server as coordinating both identification of the particular self-healing process to execute on each POS device as well as the timing of execution associated therewith.

Abstract: In some implementations, a method performed by data processing apparatuses includes receiving an indication of interest in an item being presented to a user by an online shopping interface. Data that represents the indication of user interest in the item is stored with data that represents indications of user interest in other items. In response to determining that the user is located within a physical store, the stored data that represents indications of user interest in the items is accessed, items that are available from the physical store are ranked, and one or more of the ranked items are provided for presentation to the user.

Abstract: Methods and systems for forecasting demand for a plurality of items are provided. In particular, the demand forecasting system and methods described herein are useful for predicting demand of products in a retail context. Forecast models are built and used to score incoming sales data to predict future demand for items. Forecast models are validated by evaluating actual demand against predicted demand and using that information to inform how future ensemble forecast will be generated. Forecasts may be broken down into smaller components to satisfy a variety of requests for data from client applications.

Abstract: A delivery management platform, a mobile application, and a method are disclosed. The delivery management platform can use the mobile application to manage carriers that perform deliveries of products. The delivery management platform can receive delivery schedules, group deliveries in the delivery schedules into loads, and use the mobile application both to make the loads available to carrier members and to receive events sent from carrier members. The delivery management platform can also use the mobile application to pay carriers and to receive information to update carrier data. Using the mobile application, carrier members can both interact with the delivery management platform and can assign, track, and perform deliveries.

Abstract: The present application describes a method of utilizing a mathematical model to determine appropriate locations for redistribution or drop-off of items with last mile delivery services at a consolidation point representing an intermediate sortation or warehousing in a retail enterprise's supply chain downstream of retail locations. Items may be brought from a consolidation point, such as a warehouse downstream of retail locations, to such a redistribution location (herein referred to as a “Transload” point). A last-mile delivery carrier may pick up items from the Transload point and deliver them to customer delivery locations in the geographical area served by the Transload point. In examples, relocation of selected deliveries from the consolidation point to a Transload point reduces the per-mile cost for last mile deliveries. A model uses candidate locations to assess optimal locations for such a Transload facility, for example, based on delivery locations and associated costs.

Abstract: Methods and systems for simulating fulfillment of digital orders within a retail supply chain are disclosed. One method includes receiving a selection of a first operational parameter of a supply chain model. The supply chain simulation model is a transaction-level model representative of a digital order fulfillment process within a retail supply chain network. The selection of the first operational parameter includes a default value for the first operational parameter and an experimental value for the first operational parameter that is different from the default value. Simulations of a set of predicted digital orders within the retail supply chain network, using the supply chain simulation model as modified in accordance with the first operational parameter, are performed. Scenario evaluations including predicted metrics associated with each of a cost, a capacity, and a guest experience for the digital order fulfillment process may be output and displayed on a user interface.

Abstract: Methods and systems for generating item recommendations are disclosed. One method includes sampling from a weighted node-based graph to generate a sampled graph, wherein sampling includes selecting a plurality of nodes and, for each selected node, one or more node pairs. The selection of the node pairs is based at least in part based on a weight assigned to the node pair in the weighted node-based graph. The method further includes aggregating information from the one or more neighboring nodes into each corresponding node of the plurality of nodes in the sampled graph to generate a vector representation of the sampled graph. The method also includes applying a loss function to the vector representation of the sampled graph to generate a modified vector representation. The modified vector representation is used to generate, in response to identification of an item from an item collection, a selection of one or more recommended items from within the item collection.

Abstract: A swimwear garment configured to be worn by a wearer having buttocks, the swimwear garment comprising an outer rear layer and a rear compression layer. The outer rear layer defines rear portions of two leg openings and extends upwardly toward a waist of the swimwear garment in a manner configured to at least partially cover the buttocks of the wearer. The rear compression layer is coupled to the outer rear layer along an inside surface of the outer rear layer and defines a bottom periphery and opposing side edges. The rear compression layer extends upwardly from the bottom periphery to at least to the waist of the swimwear garment. Each of the opposing side edges of the rear compression layer are sewn to the outer rear layer. The bottom periphery of compression fabric layer is entirely positioned above the at least rear portions of the leg openings.

Abstract: A computer-implemented method includes a processor decoding a first document output by a first deployment tool to construct a deployment parameter missing from a deployment validation rule in the first document. The processor creates a second document using the constructed deployment parameter and submits the second document to a second deployment tool to load the deployment validation rule into the second deployment tool.

Abstract: In general, the present disclosure describes inventory management systems and methods which track all inventory of items within a retail supply chain. A computerized system aggregates inventory movement events to produce a common source of truth for the location and disposition of items within a supply chain. Order events and inventory events are received from multiple data sources. Additionally, a current inventory level for each item at each location within the supply chain is provided according to the data source. The computerized system normalizes the information in the event messages before it is stored in the centralized inventory database. The inventory information in the database can be accessed by multiple consumers through an API to obtain the most up-to-date information about the disposition and location of an item.

Abstract: A shopping cart includes a wheeled base, two support masts, a basket, and a gate. The two support masts are coupled to and extend upwardly from the wheeled base. The basket is coupled to the two support masts and extends over the wheeled base to define a compartment having a rear opening. The gate includes a primary panel and a child seat. The primary panel is rotatable between a first position, covering the rear opening, and a second position extending above the compartment. The child seat extends from a front surface of the primary panel and into the compartment when the primary panel is in the first position. The child seat comprises a bottom panel, a back, and side panels. The bottom panel and opposing side panels collectively form a child seat surround extending from a first side of the primary panel to a second side of the primary panel.