Abstract: A method for providing automated support services by utilizing artificial intelligence is disclosed. The method includes receiving, via a graphical user interface, a request from a user; parsing, by using syntax analysis, the request; identifying, from the parsed request, a factor by using a model such as a machine learning model, the factor including a request context and a request sentiment; associating the request with a category corresponding to the factor; determining, by using the model, whether the request can be automatically resolved based on the factor and the category; and initiating at least one action based on a result of the determining.

Abstract: A system and a method for facilitating a processing of a service request is provided. The method includes: accessing a plurality of previously received service requests; receiving a first new service request; determining a handling protocol for the first new service request; adding the received first new service request to the plurality of previously received service requests to generate an updated list of open service requests; and displaying a listing of a least a subset of the updated list of open service requests. The handling protocol includes a priority ranking of the first new service request and an identification of a proposed technician for resolving the corresponding problem. The determination of the handling protocol is performed by assigning weights to each of a set of predefined parameters and algorithmically combining the assigned weights to obtain an overall priority score.

Abstract: A method for providing sentiment analysis of a natural language service request to automatically identify and map a user state of mind by utilizing artificial intelligence is disclosed. The method includes receiving, via a graphical user interface, a raw input, the raw input including a computer file corresponding to a natural language request; parsing the raw input into component parts; annotating, by using a model, each of the component parts with a predetermined indicator, the predetermined indicator corresponding to the user state of mind; mapping, by using the model, the component parts based on the predetermined indicator; compiling the mapped component parts into a structured input, and determining, by using the model, a quality that corresponds to the structured input.

Abstract: A system and a method for facilitating a processing of a service request is provided. The method includes: accessing a plurality of previously received service requests; receiving a first new service request; determining a handling protocol for the first new service request; adding the received first new service request to the plurality of previously received service requests to generate an updated list of open service requests; and displaying a listing of a least a subset of the updated list of open service requests. The handling protocol includes a priority ranking of the first new service request and an identification of a proposed technician for resolving the corresponding problem. The determination of the handling protocol is performed by assigning weights to each of a set of predefined parameters and algorithmically combining the assigned weights to obtain an overall priority score.

Abstract: A method for providing automated support services by utilizing artificial intelligence is disclosed. The method includes receiving, via a graphical user interface, a request from a user; parsing, by using syntax analysis, the request; identifying, from the parsed request, a factor by using a model such as a machine learning model, the factor including a request context and a request sentiment; associating the request with a category corresponding to the factor; determining, by using the model, whether the request can be automatically resolved based on the factor and the category; and initiating at least one action based on a result of the determining.