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: receiving, over a computer network, a configuration file to identify feature data for use in a machine learning algorithm; identifying, using the configuration file, the feature data; storing, in an output file on one or more storage devices, the feature data and at least a subset of historical transactions; transmitting, from the one or more storage devices and over the computer network, the output file comprising the feature data for use in a machine learning application; and generating the machine learning algorithm for a machine learning model based on parameters in the output file, wherein the output file is configured to be transferred between at least two machine learning models. 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, using a trained machine-learning model, personalized product-type metrics for a user based on historic activity of the user and product-type pairs in an item taxonomy; determining top product types for the user based on an anchor item; determining a set of first items associated with the top product types; ranking each item in the set of first items for (i) the anchor item and (ii) for each item in the set of first items; and selecting, based on the ranking, a set of top items from the set of first items to be personalized complementary item recommendations for the user based on the anchor item. Other embodiments are described.

Abstract: A cloud-based system for use by retail store employees or customers at any location to facilitate the sale of automotive tires to consumers is provided. The system accesses multiple independent tire inventory systems from different distributors/manufacturers and provides a personalized set of recommendation tire options and accompanying TPMS service packs.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to establish retail point-of-sale (POS) hardware management systems, comprising: an intermediary system control circuit configured to execute computer program modules comprising: a hardware management module configured to operate as an intermediary module between multiple different sets of client POS systems, a plurality of different sets of hardware systems, and a plurality of shared resource applications. The hardware management module comprises a plurality of hardware manager sub-modules each corresponding to one of the sets of hardware systems.

Abstract: A webpage serving system is provided and generally includes a server and a computing device. The server may receive a webpage data request for a webpage from the computing device. In response, the server may transmit data identifying a webpage that allows a plurality of items to be added to an online shopping cart in one transaction. The data may include a document, such as an HTML document, based on the type of webpage requested. The document may include instructions to download a particular bundle from a server. The server may also receive a request from the computing device to add at least one item of the plurality of items to the online shopping cart. In response, the server may add the requested item to the online shopping cart. The server may also transmit data confirming that the requested item was added to the online shopping cart.

Abstract: Examples provide a system for a temperature-controlled receiving tunnel. A main body includes an interior compartment and a set of adjustable bulkheads configured to create a set of temperature-controlled zones within the interior compartment. A set of cooling devices are configured to adjust an internal temperature of the set of temperature-controlled zones within the interior compartment. A control device analyzes dynamic truck delivery data and ambient temperature data to generate a predicted cooling time and a cooling initiation time. The predicted cooling time comprises an estimated quantity of time after the cooling initiation time to reach a target temperature within a selected zone in the set of temperature-controlled zones.

Abstract: A control circuit applies images obtained from the mobile electronic device to a trained model and responsively receiving prescription information. The prescription information indicates contents of the prescription, whether a prescription transfer is needed, and whether a prescription refill is needed. The control circuit determines an action based upon an analysis of the prescription information. The action is taken to electronically instruct a human or robot to fulfill the prescription. The action includes, when a prescription transfer is needed, transmitting an electronic message to a second pharmacy currently holding the medical prescription of the user.

Abstract: Method and systems for an autonomous storage and retrieval tower integrated with a fulfillment system.

Abstract: Systems, apparatuses, and methods are provided herein for network incident management. A method for network incident management comprises aggregating network metrics associated with a monitored network in a historical network data database, identifying incidents based on the network metrics, generating a training data set based on the network metrics and the incidents, wherein the training data set comprises time series of network metrics as training input and incidents as labels, training an incident model using the training data set, receiving real-time network metrics from the network via the network interface, determining an incident prediction based on the incident model using the real-time network metrics as input, and causing a user interface device to provide an alert to a user based on the incident prediction.

Abstract: In some examples, at least one processor executes instructions to, during a chat session, obtain, from a computing device of a first user, session data associated with the chat session and a first user, obtain a first set of data identifying a set of price drop items associated with the chat session, and obtain a second set of data identifying a set of attribute values associated with one or more attribute features of each item type. Based on the first set of data and the second set of data, a third set of data including affinity value data for each price drop item is generated. A fourth set of data identifying a set of items each with a score is obtained. A fifth set of data is then generated based on the third set of data and the fourth set of data.

Abstract: Examples provide a fruit ripening rack having a plurality of chambers for on-site produce ripening at a retail location. A controller component generates predicted demand for ripened fruit on a selected date at a selected location based on transaction history data and/or seasonal demand. The controller component calculates the quantity of fruit based on the predicted demand. The controller component determines conditions within each chamber to accelerate ripening of the calculated quantity of one or more types of fruit to one or more selected levels of ripeness on the selected date. The conditions include amount of ethylene gas in each chamber, length of exposure to the ethylene gas, temperature inside the chamber and/or humidity level inside the chamber. The fruit ripening rack controls internal conditions within each chamber to provide variable fruit ripening in accordance with per-chamber configurations to satisfy predicted daily demand at the selected location.

Abstract: Systems and methods 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, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

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: creating links between nodes to form connected components based on linkage scores exceeding a predetermined threshold; generating, by using a relaxed blocking criteria, an initial labeled set, wherein the relaxed blocking criteria is configured to prevent loss of data signals; tuning the relaxed blocking criteria by relaxing and tightening a precision threshold associated with the connected components; and generating a quality score for the connected components, wherein the quality score comprises an objective metric to identify a true graph of each user. 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: analyzing a respective foreground of one or more related digital images to identify a respective skin region in the respective foreground of the one or more related digital images; when the respective skin region is not identified, analyzing the respective foreground of the one or more related digital images to identify a respective head region in the respective foreground; extracting one or more patches from respective non-head region remainders of the respective foreground; and coordinating displaying a patch of the one or more patches on an electronic display based on one or more scores for the one or more patches. Other embodiments are described herein.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to generating query suggestions. In some embodiments, a system for generating query suggestions for retail comprises a database comprising a query index including queries and query scores, and a control circuit configured to receive a query prefix from a user interface of a retail channel, retrieve, from the query index and based on the query prefix, query correction candidates, calculate edit distances for each of the query correction candidates, select, based on the edit distances, one or more query suggestions from the query correction candidates, calculate, based on the edit distances, a prefix completion cost for each of the query suggestions, calculate, based on the prefix completion costs and the query scores, the query correction costs for each of the query suggestions, and sort, based on the query correction costs, the query suggestions.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: tracking touchpoints by a user over a first time period; after receiving an order, determining, using a machine-learning model, a respective contribution of each of the touchpoints, wherein the machine-learning model is trained to predict a probability of the user placing the order during a second time period based on an input feature vector representing a set of touchpoints; and allocating a respective percentage of credit for the order to the each of the touchpoints based on the respective contributions of the each of the touchpoints. Other embodiments are disclosed.

Abstract: A method including tracking impression response data in response to online impressions of content elements displayed to users of a website. The method also can include performing a classification of the users based on the impression response data. The method additionally can include generating a webpage of the website to comprise a content element selected from among the content elements based on the classification of a user of the users. Other embodiments are described.

Abstract: In some embodiments, methods and systems are provided for managing emergency notifications and incident reports at a commercial facility. A graphical interface enables a worker associated with a facility to input information regarding an ongoing/impending emergency event, e.g., Active Threat, Acts of Violence, Fire/Explosion, Injury, Power Failure, Missing Child, Severe Weather, Robbery, Hazmat, Bomb Threat, Covid-19, Store Closure, Special Events etc. This information is processed via an analytical engine that evaluates the entered information in view of various business rules in order to identify the appropriate workers to notify, and generates and transmits the notifications to the employees determined to be suitable for receiving a notification. In response to the generation of the emergency notification, an incident report engine evaluates the entered emergency, and automatically generates an incident report, which may be later accessed and/or modified by workers having a suitable employee access level.

Abstract: A method including pre-screening second images from a database for a search result based on a first image and also based on respective substring distances between first binary substrings for the first image and respective second binary substrings for each of the second images. The method further can include after the pre-screening, determining a respective image distance for each third image of third images of the search result, wherein the respective image distance is between the first image and the each third image of the third images of the search result, and after determining the respective image distance for each third image of the third images of the search result, when the respective image distance for a particular one of the third images is greater than a predetermined image distance threshold, removing the particular one of the third images from the search result before the search result is displayed on a user device requesting the search result. Other embodiments are disclosed.