Abstract: Examples provides on-hand inventory accuracy using radio frequency identification (RFID) tag data and expected populations of items for a plurality of sub-locations within a scan area. The system calculates a dynamic expected population of items value for each sub-location using item level data and modular display data for an item assortment assigned to a modular display within each sub-location. If the items detected by the RFID tag data match the expected population of items with a minimum confidence level, the system provides user feedback in the form of status indicators and/or accuracy indicators on a user interface. The feedback can also include audio feedback. If a discrepancy is detected, the system requests a rescan of each sub-location having a detected discrepancy. The system disallows update of on-hand inventory data using the RFID tag data if the discrepancy remains unresolved after the second scan and/or requests a manual verification.

Abstract: Systems and methods for assessing quality of and detecting defects in retail products include a housing having an interior, a product holding surface, an image capture device configured to capture an image of the product, a lighting element configured to provide lighting within the housing, an electronic database configured to store electronic data including reference image data associated with the product and representing the product in various sizes and various quality states, and a processor-based control circuit in communication with the first image capture device and the electronic database. The control circuit is configured to obtain image data representing the image of the product, obtain the reference image data, analyze the image data and the reference image data to identify the product and identify a size of a defect present on the product, and output a notification indicating whether or not the product is of acceptable quality.

Abstract: A system can comprise one or more processors; and one or more non-transitory computer-readable media storing computing instructions configured to run on the one more processors and perform a method for dispatching a delivery driver and allowing the user to electronically tip the delivery driver. The method in this embodiment can comprise: receiving a delivery request from a user; and determining whether the order is eligible for delivery. When the order is eligible for delivery, the method in this embodiment can determine a delivery fee for the order; after the payment of the fees, dispatch the delivery driver; and upon a confirmation of the delivery, determine whether the completed delivery is eligible for tipping. When the delivery driver for the completed delivery is eligible for tipping, the method in this embodiment can further provide a tipping request to the user; and upon receipt of a confirmation of a tip, forward the tip to the delivery driver. Other embodiments are disclosed.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions, that when executed on the one or more processors, cause the one or more processors to perform operations including: determining a view mode in which to render a 3-dimensional (3D) model of an item on an electronic device based on a selection by a user; when the view mode is a stand-alone 3D model view, positioning a virtual light in a fixed position with respect to the 3D model of the item while a camera of a user device moves around the 3D model of the item; and when the view mode is an augmented reality (AR) environment, projecting the virtual light outward from a position of a lens of the camera to allow the virtual light to move as the camera moves with respect to the 3D model of the item. Other embodiments are disclosed.

Abstract: Systems and methods of generating interfaces including recommended items selected by a graph-based cold-start (GCS) model are disclosed. A request for an interface is received and a set of interface items is generated for inclusion in the interface. The set of interface items is selected, at least in part, by a GCS model including a semantic similarity component and a viewed-also-viewed component. The set of interface items is generated based on a combination of an output of the semantic similarity component and an output of the viewed-also-viewed component. The interface including the set of interface items is generated and transmitted to a system that generated the request for the interface.

Abstract: A system including one or more processors; and one or more non-transitory computer-readable media storing computing instructions, that when executed on one or more processors, cause the one or more processors to perform certain operations including: training a first submodel of a machine learning model by at least (i) creating a cumulative addition of light gradient boosting models, and (ii) determining weights for aggregation with probabilities from the light gradient boosting models; generating, using the machine learning model, as trained, classifications for nodes, wherein the classifications comprise unions of outputs of the first submodel of the machine learning model and outputs of a second submodel of the machine learning model; and based on the classifications for the nodes, automatically tagging a portion of the nodes as deliverable in an online platform. Other embodiments are described.

Abstract: A system including a processor and non-transitory computer-readable media storing computing instructions that, when executed on the processor, perform a method that includes training a machine learning model by using a training data set to determine taxonomy embeddings for taxonomies based on training features that include a context word vector, a center word vector, and a probability. The probability corresponds to a function between the context word vector and the center word vector. The taxonomy embeddings represent at least a first level of a taxonomy and a second level of the taxonomy. The machine learning model, as trained, is used to determine the taxonomy embeddings based on taxonomy identifiers and reduce the taxonomy embeddings by removing at least one taxonomy of the taxonomies that are below a threshold to thereby reduce the taxonomies. The threshold comprises a number of aggregate page views.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: running one or more test cases using a version of an artifact in an environment; detecting a modification to the version of the artifact based on a release of a newer version of the artifact; in response to detecting the modification, generating a modified version of the artifact to incorporate the modification; selecting a first artifact from a list of one or more artifacts comprising the modified version of the artifact; deploying the first artifact, by using an internet protocol (IP) address, into a networking sandbox corresponding to a particular objective; and building a second artifact based on changes implemented to the first artifact. Other embodiments are described.

Abstract: An automated decant system is disclosed for processing pallets of cased goods received at a facility, extracting packaging for the cases and transferring eaches within the cases to totes, possibly organized by SKU in sub-totes within the tote.

Abstract: In some embodiments, apparatuses and methods are provided to support individuals in a retail environment. Some embodiments, provide systems, comprising: a plurality of cameras positioned in a retail store; an image processing control circuit configured to determine a customer field of view; a product identification control circuit configured to identify a set of multiple products within the identified customer field of view, assign a viewing probability to each product without the first customer having to touch the first product; a product selection control circuit configured to determine a purchase probability of the first product; add the first product to a virtual electronic cart when the purchase probability of the first product exceeds a purchase probability threshold; and communicate instructions to control the worker personal computing device to instruct a worker to retrieve the first product.

Abstract: Described in detail herein are object storage and retrieval systems and methods. A storage receptacle can be configured to receive an input from an electronic device including a decoded identifier from a unique optical machine-readable element associated with one or more physical objects, via an input device, and cause the one or more physical objects to be available via at least one opening of the storage receptacle.

Abstract: In some embodiments, systems and methods are provided to recognize retail products, comprising: a model training system configured to: identify a customer; access an associated customer profile; access and apply a set of filtering rules to a product database based on customer data; generate a listing of products specific to the customer; access and apply a model training set of rules to train a machine learning model based on the listing of products and corresponding image data for each of the products in the listing of products; and communicate the trained model to the portable user device associated with first customer.

Abstract: This application relates to apparatus and methods for identifying and remediating poor user experiences on computing devices. In some examples, a user speed determination device is configured to receive a content delivery request for delivery of content to a user device. The computing is also configured to obtain user identification data, obtain user device data and determine a user device speed based on the user identification data and the user device data. The computing device then sends a user device speed indicator to a content delivery device to cause the content delivery device to deliver remediated content to the user device when the user device speed is determined to be less than a predetermined speed threshold. The user identification data can include an IP address and the user device data can include user agent data, user connection data and user resource timing data.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: generating a combination image that depicts subject matter engaging with a first item of a first search result and at least one of two or more second items of two or more second search results, wherein the combination image incorporates a background of an image of a user-defined subject matter; and generating one or more user interface elements to be displayed in conjunction with the combination image; and enabling the one or more user interface elements to perform one or more operations, wherein the combination image includes one or more of: a two-dimensional image, a three-dimensional image, a three-dimensional model, a video, or an animation. Other embodiments are described.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: generating a preliminary dock-out time boundary based on one or more delivery time windows for one or more deliveries; processing two parallel data flow paths to locate a range of dock-out times associated with one or more time constraints of the one or more delivery time windows; and transmitting the range of dock-out times to a user, wherein a trailer is dispatched to a distribution center between the range of dock-out times to load the trailer and deliver the one or more deliveries within the time constraints of the one or more delivery time windows based on a flexible period of time. Other embodiments are described.

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: Methodologies, systems, and computer-readable media provided for a system for generating personalized electronic documents and verifying user identity are discussed. The system receives user identification data and check information from a user application. The check information is validated by the issuer of the check. The system transmits a notification to the user application that includes a machine readable code. The user application presents the machine readable code and the user identification data to a check-in module and automatic processing of the check is initiated.

Abstract: Methods and systems are provided for utilizing interactive UI dialogs to resolve issues that may arise during the real-time ordering and activation of wireless products and services while a user is engaged during their session. The interactive UI dialogs may provide a customer with an opportunity to provide information, make decisions or trigger additional steps during the real time order.

Abstract: There are provided systems and methods for assisting consumers with merchandise purchases at a retail facility. The system may include an application to facilitate purchase of merchandise items at a retail facility, which may be executed on a user's mobile device. The application may receive input regarding items scanned at the retail facility using the mobile device and may facilitate payment for the scanned items by the mobile device. The system may also include a control circuit that: accesses database(s) to determine the user's purchase history; determines candidate items to be considered for recommendation to the user; computes a ranking of candidate items based on a weighted combination of recency and frequency of purchases of each candidate item, merchandise category of other candidate items, and price of the candidate item; and causes the display on the mobile device of additional recommended merchandise items for purchase by the user.