Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for dynamically managing data associated with transactions of wearable items. For example, a method may include receiving wearable item data from one or more electronic tenant interfaces, hosting an electronic warehouse operations portal and/or an electronic administrative portal, receiving one or more electronic user transactions initiated at one or more user platforms, updating one or more transaction databases and one or more analytics databases, based on the one or more electronic user transactions, receiving one or more wearable item operations requests, initiating one or more microservices to fulfill the one or more wearable item operations requests, and updating at least one of the one or more transaction databases and one or more analytics databases based on completion of the one or more wearable item operations requests.

Abstract: A method of inspecting an article with a defect detection tool includes receiving one or more articles at an inspection station and inspecting one of the received one or more articles by evaluating the article for at least one physical defect with the defect detection tool. The defect detection tool includes a clear body including a surface element sized to correspond to the at least one physical defect in the article. Evaluating the article for at least one physical defect with the defect detection tool includes applying the defect detection tool against the article to align the surface element with a potential physical defect in the surface of the article and determining that the at least one physical defect is present when the potential physical defect has a size equal to or larger than a size of the linear element or a size of the circular element.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for analysis of images including wearable items. For example, a method may include obtaining a first set of images, each of the first set of images depicting a product; obtaining a first set of labels associated with the first set of images; training an image segmentation neural network based on the first set of images and the first set of labels; obtaining a second set of images, each of the second set of images depicting a known product; obtaining a second set of labels associated with the second set of images; training an image classification neural network based on the second set of images and the second set of labels; receiving a query image depicting a product that is not yet identified; and performing image segmentation of the query image and identifying the product in the image by performing image analysis.

Abstract: A computer-implemented method may include obtaining article information associated with the one or more articles; obtaining historical transactional data associated with purchasing the one or more articles; obtaining, via the one or more processors, article preference data associated with purchasing the one or more articles; determining, via the one or more processors, one or more assumptions based on the article preference data; determining, via the one or more processors, the quantity associated with purchasing the one or more articles based on the article information and the one or more assumptions; determining, via the one or more processors, the size distribution associated with purchasing the one or more articles based on the determined quantity, the historical transactional data, and the one or more assumptions; and transmitting, to a purchaser, a notification indicating the quantity and the size distribution associated with purchasing the one or more articles.

Abstract: A computer-implemented method includes receiving one or more articles at an inspection station that includes an inspection processor, inspecting the one or more articles in view of at least one repairability criterion presented via one or more graphical elements, and updating an inspection database if the one or more articles fails the at least one repairability criterion. The method includes inspecting the one or more articles in view of at least one local repair criterion presented via one or more graphical elements, inspecting the one or more articles in view of at least one inspector-driven criterion presented via one or more graphical elements, the action type including at least one of determining an inspection failure or a passed inspection, and updating inspection history data stored in an inspection database in communication with the inspection processor based on the at least one repairability criterion, local repair criterion, or inspector-driven criterion.

Abstract: Systems and methods forecast inbound telecommunications, and more particularly, analyze real-time and historical call center data, and apply a forecasting model to the data in order to predict inbound call volume. These systems and methods employ tools that manipulate call center data and generate visual representations of metrics pertaining to forecasting call center data via a dashboard.

Abstract: Disclosed are systems and methods for routing inbound communications at call centers in order to enhance customer experience and call center agent efficiency. In order to effectively route communications, customer service call types and one or more agent performance rates responding to said customer service calls are analyzed in order to determine which one or more call center agents should be routed which specific customer service call type. Additionally, tools are disclosed for analyzing call center agent performance rates and assigning call center agents to service specific customer service call types.

Abstract: A computer-implemented method for providing a personalized user interface to a user may include obtaining customer data; obtaining customer article data; obtaining customer interface activity data of the at least one customer; training a prediction model; obtaining at least one of user data, user article data, or user interface activity data of a user of the apparel subscription application; determining a rank of one or more articles based on the prediction model; obtaining environmental data including values of one or more environmental factors associated with user article data; and providing, to the user, the personalized user interface associated with the apparel subscription application to the user based on the rank of the one or more articles and the environmental data.

Abstract: A method of treatment of one or more articles may comprise locating a stain on an article based on a tag on the article; placing the stain on a nose of a spotting board; positioning a steam gun at least two or more inches away from the stain; simultaneously activating a steam supply and a vacuum supply of the spotting board; moving the steam gun in a defined motion relative to the stain for at least 30 seconds; simultaneously activating the vacuum supply and an air supply of the spotting board; moving the steam gun in the defined motion relative to the stain until the article is at least partially dry; and inspecting the stain.

Abstract: A computer-implemented method may include obtaining article information associated with the one or more articles; obtaining historical transactional data associated with purchasing the one or more articles; obtaining, via the one or more processors, article preference data associated with purchasing the one or more articles; determining, via the one or more processors, one or more assumptions based on the article preference data; determining, via the one or more processors, the quantity associated with purchasing the one or more articles based on the article information and the one or more assumptions; determining, via the one or more processors, the size distribution associated with purchasing the one or more articles based on the determined quantity, the historical transactional data, and the one or more assumptions; and transmitting, to a purchaser, a notification indicating the quantity and the size distribution associated with purchasing the one or more articles.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for optimizing user experience with respect to email journeys. For example, a method may include determining a first development subset, a first quality assurance subset, and a first production subset of a first plurality of user identifiers; determining and transmitting a first development set of messages, a first quality assurance set of messages, and a first production set of message; determining a development performance indicator, a quality assurance performance indicator, and a production performance indicator based on one or more messages received in response to the transmitted first development set of messages, first quality assurance set of messages, and first production set of message, respectively.

Abstract: A computer-implemented method of managing an inventory of articles includes receiving, by a transfer processor, article information associated with the articles, and identifying, by the transfer processor, one of the articles based on an article identifier. The method also includes retrieving article information based on the identifier, the article information including care information for the one of the articles, and, when the identified article is an article requiring special care, a special care requirement is included in the care information, and preparing the article for transfer based on the care information.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for dynamically managing data associated with transactions of wearable items. For example, a method may include receiving wearable item data from one or more electronic tenant interfaces, hosting an electronic warehouse operations portal and/or an electronic administrative portal, receiving one or more electronic user transactions initiated at one or more user platforms, updating one or more transaction databases and one or more analytics databases, based on the one or more electronic user transactions, receiving one or more wearable item operations requests, initiating one or more microservices to fulfill the one or more wearable item operations requests, and updating at least one of the one or more transaction databases and one or more analytics databases based on completion of the one or more wearable item operations requests.

Abstract: A method of treatment of one or more articles may comprise locating a stain on an article based on a tag on the article; placing the stain on a nose of a spotting board; positioning a steam gun at least two or more inches away from the stain; simultaneously activating a steam supply and a vacuum supply of the spotting board; moving the steam gun in a defined motion relative to the stain for at least 30 seconds; simultaneously activating the vacuum supply and an air supply of the spotting board; moving the steam gun in the defined motion relative to the stain until the article is at least partially dry; and inspecting the stain.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for executing neural network training for dynamically predicting apparel wearability. For example, a method may include generating a training data set comprising one or more historical data attributes of previously shipped apparel, training a neural network based on the training data set to configure one or more trained models to output a metric for any pair of a unique user identifier and a unique apparel identifier, storing one or more trained model objects, collecting prediction data comprising at least one prediction pair including a unique user identifier and a unique apparel identifier, predicting one or more predictive wearability metrics indicative of propensity to wear, dynamically generating one or more match pairs, and determining a match wearability metric for each of the one or more match pairs based on the predicted one or more predictive wearability metrics.

Abstract: Disclosed are systems and methods for routing inbound communications at call centers in order to enhance customer experience and call center agent efficiency. In order to effectively route communications, customer service call types and one or more agent performance rates responding to said customer service calls are analyzed in order to determine which one or more call center agents should be routed which specific customer service call type. Additionally, tools are disclosed for analyzing call center agent performance rates and assigning call center agents to service specific customer service call types.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for optimizing user experience with respect to sequences of electronic messages to drive user engagement. For example, a method may include determining a set of messages including at least a first message and a second message; transmitting the first and second messages as an initial message to a first plurality of devices and a second plurality of devices, respectively; determining a first and second performance indicator at least based on one or more responses to the first and second messages transmitted as the initial message, respectively; comparing the first performance indicator and the second performance indicator; and sorting a sequence of the set of messages based on the comparison of the first performance indicator to the second performance indicator.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for assigning wearable items in a subscription electronics transactions platform. For example, a method may include: generating a grid based on information regarding historically shipped wearable items, wherein the grid comprises at least a first cell and a second cell; determining an average percentage indicating how many wearable items have been used and an average predictive wearability metric for wearable items indicative of a propensity of a user to use the wearable items per number of wearable items shipped for each cell; generating a mapping configured to convert a predictive wearability metric to a squashed predictive wearability metric; and converting a first predictive wearability metric to a first squashed wearability metric based on the generated mapping.

Abstract: Systems and methods forecast inbound telecommunications, and more particularly, analyze real-time and historical call center data, and apply a forecasting model to the data in order to predict inbound call volume. These systems and methods employ tools that manipulate call center data and generate visual representations of metrics pertaining to forecasting call center data via a dashboard.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for deriving platform feedback data from raw feedback data for dynamic retrieval by downstream subsystems. For example, a method may include detecting a return notification trigger of a user, identifying segment data, determining a return notification form identifier based on the segment data, loading an electronic return notification form corresponding to the return notification form identifier, receiving raw feedback data from the user device, deriving platform feedback data from the raw feedback data using a plurality of mappings stored in one or more electronic mapping databases, and storing the platform feedback data in at least one of a feedback service component and a return notification service component, in one or more formats configured for retrieval by one or more downstream subsystems associated with managing and/or analyzing the one or more wearable items.