Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.

Abstract: Aspects of the disclosure relate to diagnosing and troubleshooting maintenance repair requests using an artificial intelligence-driven chatbot. In some embodiments, a computing platform may receive a maintenance request from a user and may configure a chatbot to extract details that describe an item to be repaired. The computing platform may configure the chatbot to communicate with the user and to generate, based on the communication, an enriched work order. The computing platform may generate training data based on the maintenance request and the enriched work order, and may use the training data to train a plurality of regression models. The plurality of regression models to identify a plurality of technicians to handle the maintenance request and the computing platform may transmit the enriched work order to the plurality of technicians. The computing platform may continuously train the plurality of regression models based on feedback from the plurality of technicians.

Abstract: Aspects of the disclosure relate to diagnosing and troubleshooting maintenance repair requests using an artificial intelligence-driven chatbot. In some embodiments, a computing platform may receive a maintenance request from a user and may configure a chatbot to extract details that describe an item to be repaired. The computing platform may configure the chatbot to communicate with the user and to generate, based on the communication, an enriched work order. The computing platform may generate training data based on the maintenance request and the enriched work order, and may use the training data to train a plurality of regression models. The plurality of regression models to identify a plurality of technicians to handle the maintenance request and the computing platform may transmit the enriched work order to the plurality of technicians. The computing platform may continuously train the plurality of regression models based on feedback from the plurality of technicians.

Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.

Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.

Abstract: A service request is received. A universal service request ticket is created for the service request. The service request is routed to a dynamically selected service domain including by creating for the dynamically selected service domain a child service request ticket of the universal service request ticket. A status of the universal service request ticket is updated based on a status of the child service request ticket of the dynamically selected service domain.

Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.