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 color and pattern analysis of images including wearable items. For example, a method may include receiving an image depicting a wearable item, identifying the wearable item within the image by identifying a face of an individual wearing the wearable item or segmenting a foreground silhouette of the wearable item from background image portions of the image, determining a portion of the wearable item identified within the image as being a patch portion representative of the wearable item depicted within the image, deriving one or more patterns of the wearable item based on image analysis of the determined patch portion of the image, deriving one or more colors of the wearable item based on image analysis of the determined patch portion of the image, and transmitting information regarding the derived one or more colors and information regarding the derived one or more patterns.

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: 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 using an inspection processor includes receiving one or more articles at an inspection station, and identifying, by the inspection processor, one of the articles by reading a unique identifier associated with the one of the articles. The method also includes inspecting the article based on at least one quality criterion, and updating an article tracking system based on the result of the inspection and the identifier.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for dynamically assorting merchandise. For example, a method may include receiving or generating a plurality of cells defined by one or more dimensions, receiving a total number of resources for allocation to the plurality of cells, allocating the total number of resources among the plurality of cells, determining one or more stock keeping units for each cell, determining a quantity of each of the one or more stock keeping units in each cell, assigning one or more launch dates for each of the one or more stock keeping units for each cell, and stocking the one or more inventories with one or more articles corresponding to the stock keeping units in each cell, based on the determined quantity and the assigned one or more launch dates of each of the stock keeping units in each cell.

Abstract: A computer-implemented method for providing a user interface to a user includes receiving wearable article data describing wearable articles for physical shipment to users via electronic interactions; generating a user interface for an electronic transactions platform based at least on the received wearable article data; causing display of the user interface depicting one or more of the wearable articles; receiving a selection of a wearable article of the displayed one or more wearable articles via the user interface; determining a condition of the selected wearable article at least based on the received wearable article data in response to the selection; reserving the selected wearable article for a predetermined period of time in response to the selection; updating and causing display of the user interface depicting the selected wearable article and the determined condition; and determining whether the selected wearable article is purchased or borrowed during the predetermined period of time.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for generating recommendations regarding products. A method may include determining a set of content features including one or more product attributes; determining a set of latent features; receiving a query user identifier and a query product identifier; determining a feature vector associated with the query user identifier and the query product identifier based on the set of content features and the set of latent features; determining one or more model coefficients for a linear model; and utilizing the linear model to determine a fit score for the query user identifier and the query product identifier.

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 color and pattern analysis of images including wearable items. For example, a method may include receiving an image depicting a wearable item, identifying the wearable item within the image by identifying a face of an individual wearing the wearable item or segmenting a foreground silhouette of the wearable item from background image portions of the image, determining a portion of the wearable item identified within the image as being a patch portion representative of the wearable item depicted within the image, deriving one or more patterns of the wearable item based on image analysis of the determined patch portion of the image, deriving one or more colors of the wearable item based on image analysis of the determined patch portion of the image, and transmitting information regarding the derived one or more colors and information regarding the derived one or more patterns.

Abstract: A computer-implemented method may include hosting an article sharing portal accessible by the one or more electronic tenant interfaces, the article sharing portal being responsive to actions performed with the one or more electronic tenant interfaces to create, modify, or delete inventory data for sharing one or more articles across a plurality of inventories. The method may include receiving user selections initiated at user platforms for articles described in the received wearable article data, including a first shared article included in an electronic inventory of a first tenant, the first shared article being placed in the electronic inventory of the first tenant by the actions performed with the one or more electronic tenant interfaces for sharing the articles, and in response to receiving the one or more user selections, initiating one or more microservices to facilitate physical shipment of the first shared article to a user.

Abstract: A computer-implemented method for providing a user interface to a user includes receiving wearable article data describing wearable articles for physical shipment to users via electronic interactions; generating a user interface for an electronic transactions platform based at least on the received wearable article data; causing display of the user interface depicting one or more of the wearable articles; receiving a selection of a wearable article of the displayed one or more wearable articles via the user interface; determining a condition of the selected wearable article at least based on the received wearable article data in response to the selection; reserving the selected wearable article for a predetermined period of time in response to the selection; updating and causing display of the user interface depicting the selected wearable article and the determined condition; and determining whether the selected wearable article is purchased or borrowed during the predetermined period of time.

Abstract: A computer-implemented method for managing data associated with electronic inventory management of wearable articles includes receiving, wearable article data describing wearable articles made available for physical shipment to users via electronic interactions, wherein one or more electronic interfaces are accessible over one or more networks. The method includes assigning a category to one or more wearable articles described in the wearable article data, the category being selected from a plurality of categories including a first category for selection by a first plurality of users and a second category for selection by a second plurality of users. The method also includes monitoring availability data, the availability data indicating an availability of one or more wearable articles for selection by one or more users interacting with a first electronic storefront, a second electronic storefront, or both, and initiating one or more services to facilitate physical shipment of a first wearable article.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for dynamically assorting merchandise. For example, a method may include receiving or generating a plurality of cells defined by one or more dimensions, receiving a total number of resources for allocation to the plurality of cells, allocating the total number of resources among the plurality of cells, determining one or more stock keeping units for each cell, determining a quantity of each of the one or more stock keeping units in each cell, assigning one or more launch dates for each of the one or more stock keeping units for each cell, and stocking the one or more inventories with one or more articles corresponding to the stock keeping units in each cell, based on the determined quantity and the assigned one or more launch dates of each of the stock keeping units in each cell.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for generating recommendations regarding products. A method may include determining a set of content features including one or more product attributes; determining a set of latent features; receiving a query user identifier and a query product identifier; determining a feature vector associated with the query user identifier and the query product identifier based on the set of content features and the set of latent features; determining one or more model coefficients for a linear model; and utilizing the linear model to determine a fit score for the query user identifier and the query product identifier.

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: A method for communicating between an internal server system and an external warehouse system for a plurality of articles, the method including receiving an Inventory Snapshot Entity from the external warehouse system, selecting the one or more unique article identifiers from the Inventory Snapshot Entity to be included in an Order Entity, dropping the Order Entity to the external warehouse system, receiving a Return Entity from the external warehouse system, and in response to receiving the Return Entity, updating one or more article databases to indicate receiving one or more articles corresponding to the one or more unique article identifiers.

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 computer-implemented method for providing electronic recommendation engines and displays of an apparel subscription application may comprise determining a status of the user as being a valid user of electronic closet recommendation engines and displays of an apparel subscription application; determining, if the user is a valid user, a presence of apparel data in an assistant section of an electronic record corresponding to the user in a database of the electronic closet recommendation engines and displays; and launching the assistant section of a user interface of the apparel subscription application, if the apparel data is present in the assistant section of the electronic record.

Abstract: A computer-implemented method for managing data associated with wearable articles for an electronic transactions platform includes receiving wearable article data describing wearable articles made available for physical shipment to users via electronic interactions; generating a user interface and causing display of the user interface depicting one or more of the wearable articles; receiving a selection of a wearable article of the displayed one or more wearable articles via the user interface; determining a listed amount for the selected wearable article; determining a borrow period to borrow the selected wearable article and a borrow amount at least based on the determined listed amount to borrow the selected wearable article during the borrow period; determining a daily amount to keep the borrowed wearable article; and monitoring the borrowed wearable article to determine whether a return notification for the borrowed wearable article has been received within the borrow period.