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 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: 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: 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.

Abstract: A shopping cart comprises a chassis, wheels, and a basket. The chassis includes a base frame and support masts extending upwardly from the base frame. The wheels are coupled to the chassis. The basket is supported by the support masts to extend over the chassis, wherein the basket defines a compartment for selectively storing items. The base frame defines an exterior facing surface having a bumper extending outwardly away from a remainder of the exterior facing surface providing a buffer of space between an exterior bumper surface and a remainder of the base frame.

Abstract: Methods and systems for facilitating delivery of goods from a retail location to a customer are disclosed. In one method, a request is received from a customer user which includes an order for goods to be delivered from a retail store. One or more delivery users within a predefined geographic area shared with a location of the customer user are identified. A delivery user agrees to pick up the customer's order and deliver the requested goods to the customer's home. Confirmation messages are automatically sent and received when the delivery user picks up the customer's order and again when the order is delivered to the customer. The delivery user can earn rewards or payments upon completion of successful delivery.

Abstract: A shopping cart is configured to roll along a supporting surface and includes a chassis, a basket, a rear leg, a rear wheel, and a rotational brake. The basket is supported above the chassis. The rear leg extends downwardly from the chassis. The rear wheel is rotatably coupled to the rear leg and is configured to rotate about a rotational axis. The rear wheel defines an outside perimeter configured to contact and roll along the supporting surface. A rotational brake is coupled to the rear leg and extending radially away from the rotational axis in a rearward and downward direction beyond an outside perimeter of the rear wheel. The rotational brake is configured to impede rotation of the chassis and the basket about the rotational axis.