Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: In some implementations, a service qualification system may receive, from a user device, a set of images that depict a window. The service qualification system may perform an image-based analysis of the set of images to determine a reflectivity score associated with the window. The reflectivity score may be indicative of a quality associated with a signal of the service being received through the window. The service qualification system may determine, based on the reflectivity score, a service qualification metric that is indicative of a capability of receiving the service within the unit. The service qualification system may perform an action associated with the service qualification metric.

Abstract: A service qualification platform may receive, from a user device, a service request to qualify a unit of a multi-unit building to receive a service. The service qualification platform may obtain a service coverage mapping associated with the multi-unit building and may provide, to the user device and via a user interface that is associated with a geographic information system, a unit location request for an indication of a location of the unit within the multi-unit building. The service qualification platform may receive unit location information that is associated with the indication and may determine a service qualification metric based on the service coverage mapping and the unit location information, wherein the service qualification metric is associated with a capability of receiving the service within the unit. The service qualification platform may perform an action associated with the service qualification metric.

Abstract: In some implementations, a service qualification system may receive, from a user device, a set of images that depict a window. The service qualification system may perform an image-based analysis of the set of images to determine a reflectivity score associated with the window. The reflectivity score may be indicative of a quality associated with a signal of the service being received through the window. The service qualification system may determine, based on the reflectivity score, a service qualification metric that is indicative of a capability of receiving the service within the unit. The service qualification system may perform an action associated with the service qualification metric.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: In some implementations, a service qualification system may receive, from a user device, a set of images that depict a window. The service qualification system may perform an image-based analysis of the set of images to determine a reflectivity score associated with the window. The reflectivity score may be indicative of a quality associated with a signal of the service being received through the window. The service qualification system may determine, based on the reflectivity score, a service qualification metric that is indicative of a capability of receiving the service within the unit. The service qualification system may perform an action associated with the service qualification metric.

Abstract: One or more computing devices, systems, and/or methods for generating floor layouts associated with buildings and/or determining locations of units are provided. In an example, a machine learning model may be trained using a plurality of sets of building information associated with a plurality of buildings to generate a trained machine learning model. A building profile associated with a building may be generated. The building profile may be indicative of geographical boundaries associated with the building and/or one or more locations associated with one or more units in the building. A unit number configuration associated with the building may be determined, using the trained machine learning model, based upon the building profile. A floor layout associated with the building may be generated based upon the unit number configuration. The floor layout may be indicative of a first arrangement of first units in the building and/or first unit numbers associated with the first units.

Abstract: A device may receive building location information associated with a multi-unit building. The device may obtain an image that depicts the multi-unit building. The device may process, using a building analysis model, the image to identify exterior access features of the multi-unit building. The building analysis model may be trained based on a plurality of historical images of other exterior access features. The device may determine, using a scoring system and based on a configuration of exterior access features that are identified by the building analysis model, an exterior accessibility score of the unit. The device may perform, based on the exterior accessibility score, an action associated with qualifying the unit for installation of a service that involves access, from the unit, to an exterior of the multi-unit building.

Abstract: A service qualification platform may receive, from a user device, a service request to qualify a unit of a multi-unit building to receive a service. The service qualification platform may obtain a service coverage mapping associated with the multi-unit building and may provide, to the user device and via a user interface that is associated with a geographic information system, a unit location request for an indication of a location of the unit within the multi-unit building. The service qualification platform may receive unit location information that is associated with the indication and may determine a service qualification metric based on the service coverage mapping and the unit location information, wherein the service qualification metric is associated with a capability of receiving the service within the unit. The service qualification platform may perform an action associated with the service qualification metric.

Abstract: A device may receive building location information associated with a multi-unit building. The device may obtain an image that depicts the multi-unit building. The device may process, using a building analysis model, the image to identify exterior access features of the multi-unit building. The building analysis model may be trained based on a plurality of historical images of other exterior access features. The device may determine, using a scoring system and based on a configuration of exterior access features that are identified by the building analysis model, an exterior accessibility score of the unit. The device may perform, based on the exterior accessibility score, an action associated with qualifying the unit for installation of a service that involves access, from the unit, to an exterior of the multi-unit building.

Abstract: A service qualification platform may receive, from a user device, a service request to qualify a unit of a multi-unit building to receive a service. The service qualification platform may obtain a service coverage mapping associated with the multi-unit building and may provide, to the user device and via a user interface that is associated with a geographic information system, a unit location request for an indication of a location of the unit within the multi-unit building. The service qualification platform may receive unit location information that is associated with the indication and may determine a service qualification metric based on the service coverage mapping and the unit location information, wherein the service qualification metric is associated with a capability of receiving the service within the unit. The service qualification platform may perform an action associated with the service qualification metric.

Abstract: A device may receive building location information associated with a multi-unit building. The device may obtain an image that depicts the multi-unit building. The device may process, using a building analysis model, the image to identify exterior access features of the multi-unit building. The building analysis model may be trained based on a plurality of historical images of other exterior access features. The device may determine, using a scoring system and based on a configuration of exterior access features that are identified by the building analysis model, an exterior accessibility score of the unit. The device may perform, based on the exterior accessibility score, an action associated with qualifying the unit for installation of a service that involves access, from the unit, to an exterior of the multi-unit building.

Abstract: A service qualification platform may receive, from a user device, a service request to qualify a unit of a multi-unit building to receive a service. The service qualification platform may obtain a service coverage mapping associated with the multi-unit building and may provide, to the user device and via a user interface that is associated with a geographic information system, a unit location request for an indication of a location of the unit within the multi-unit building. The service qualification platform may receive unit location information that is associated with the indication and may determine a service qualification metric based on the service coverage mapping and the unit location information, wherein the service qualification metric is associated with a capability of receiving the service within the unit. The service qualification platform may perform an action associated with the service qualification metric.

Abstract: A device may capture property data identifying units associated with a multi-unit building, and may import an image of a floor plan associated with the multi-unit building. The device may provide the property data to a network device associated with a network that provides network coverage to the multi-unit building, and may receive, from the network device, network coverage data for the multi-unit building. The device may combine the image of the floor plan and the network coverage data to generate an image identifying the floor plan and the network coverage for the multi-unit building, and may capture signal reception data identifying a strength of signal from the network for one or more units of the multi-unit building. The device may perform one or more actions based on the signal reception data and the image identifying the floor plan and the network coverage.

Abstract: A device may capture property data identifying units associated with a multi-unit building, and may import an image of a floor plan associated with the multi-unit building. The device may provide the property data to a network device associated with a network that provides network coverage to the multi-unit building, and may receive, from the network device, network coverage data for the multi-unit building. The device may combine the image of the floor plan and the network coverage data to generate an image identifying the floor plan and the network coverage for the multi-unit building, and may capture signal reception data identifying a strength of signal from the network for one or more units of the multi-unit building. The device may perform one or more actions based on the signal reception data and the image identifying the floor plan and the network coverage.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: A platform can receive information regarding a user interaction, wherein the user interaction is associated with one or more channels that correspond to respective interfaces or media for the user interaction; retrieve supplemental information associated with the user interaction, wherein the supplemental information relates to at least one of: a state of a managed device associated with the user interaction, or a previous user interaction; identify, based on the information regarding the user interaction or the one or more channels, one or more models to process the information regarding the user interaction and the supplemental information, wherein the one or more models are identified from a plurality of models; determine, using the one or more models, an action to be performed with regard to the user interaction; and provide information identifying the action.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: A platform can receive information regarding a user interaction, wherein the user interaction is associated with one or more channels that correspond to respective interfaces or media for the user interaction; retrieve supplemental information associated with the user interaction, wherein the supplemental information relates to at least one of: a state of a managed device associated with the user interaction, or a previous user interaction; identify, based on the information regarding the user interaction or the one or more channels, one or more models to process the information regarding the user interaction and the supplemental information, wherein the one or more models are identified from a plurality of models; determine, using the one or more models, an action to be performed with regard to the user interaction; and provide information identifying the action.