Abstract: Disclosed are methods, systems, and machine-readable mediums which provide for customer chatbots that detect a customer handoff condition and in response, transferring the customer to a communication session with a live agent. The handoff condition may comprise an inability to understand the customer, an inability to answer the customer's question, expressions of frustration or anger on the part of the customer, a customer's express request to be transferred, or the like. The live agent may receive a complete history of the conversation with the chatbot so that the customer does not have to repeat him or herself to the live agent. The chatbot chat session may be linked to a social networking account of the customer and may take place in association with a social networking profile page of the company.

Abstract: Systems and techniques for a future state graphical visualization generator are described herein, A graphical visualization of a current state of a user may be generated using electronic profile data of the user. The graphical visualization of the current state of the user may display objects associated with the user. The objects may be associated with a set of object parameters. A goal of the user may be obtained. A set of goal parameters may be generated based on the set of object parameters and the goal of the user. A graphical visualization of the future state of the user may be generated based on the set of goal parameters. A user response may be obtained to a display of the graphical visualization of the future state of the user. Guidance may be provided to the user for adjusting a goal parameter based on the user response.

Abstract: Disclosed are methods, systems, and machine-readable mediums which provide for customer chatbots that detect a customer handoff condition and in response, transferring the customer to a communication session with a live agent. The handoff condition may comprise an inability to understand the customer, an inability to answer the customer's question, expressions of frustration or anger on the part of the customer, a customer's express request to be transferred, or the like. The live agent may receive a complete history of the conversation with the chatbot so that the customer does not have to repeat him or herself to the live agent. The chatbot chat session may be linked to a social networking account of the customer and may take place in association with a social networking profile page of the company.

Abstract: Systems and techniques for data tagging and task dataset generation are described herein. A set of context elements may be obtained for a data element in a data source. The set of context elements may be evaluated using a machine learning processor to embed one or more tags into the data element. A task to be completed by the user may be identified. A set of task tags may be determined that correspond to the task. The data source may be searched using the set of task tags to select the data element. A task dataset may be generated that includes the data element in response to the search.

Abstract: Disclosed are methods, systems, and machine-readable mediums which provide for customer chatbots that detect a customer handoff condition and in response, transferring the customer to a communication session with a live agent. The handoff condition may comprise an inability to understand the customer, an inability to answer the customer's question, expressions of frustration or anger on the part of the customer, a customer's express request to be transferred, or the like. The live agent may receive a complete history of the conversation with the chatbot so that the customer does not have to repeat him or herself to the live agent. The chatbot chat session may be linked to a social networking account of the customer and may take place in association with a social networking profile page of the company.

Abstract: Systems and techniques for a future state graphical visualization generator are described herein. A graphical visualization of a current state of a user may be generated using electronic profile data of the user. The graphical visualization of the current state of the user may display objects associated with the user. The objects may be associated with a set of object parameters. A goal of the user may be obtained. A set of goal parameters may be generated based on the set of object parameters and the goal of the user. A graphical visualization of the future state of the user may be generated based on the set of goal parameters. A user response may be obtained to a display of the graphical visualization of the future state of the user. Guidance may be provided to the user for adjusting a gal parameter based on the user response.

Abstract: Various methods and systems are disclosed for managing and facilitating bot-to-bot transactions, implemented with electronic operations and communications in connection with a bot interaction framework service. In an example, a transaction in a bot-to-bot communication session is established and conducted via the bot interaction framework service using a series of communication, trust, and functional attributes. The processing operations performed by the bot interaction framework service may include: receiving a request for a transaction, for a transaction to be conducted via a bot-to-bot communication session between the user bot and the service bot; identifying communication, trust, and functional attributes for the bot-to-bot communication session; transmitting the communication, trust, and functional attributes to the user bot; and conducting the bot-to-bot communication session based on the communication, trust, and functional attributes.

Abstract: Disclosed are methods, systems, and machine-readable mediums which provide for customer chatbots that detect a customer handoff condition and in response, transferring the customer to a communication session with a live agent. The handoff condition may comprise an inability to understand the customer, an inability to answer the customer's question, expressions of frustration or anger on the part of the customer, a customer's express request to be transferred, or the like. The live agent may receive a complete history of the conversation with the chatbot so that the customer does not have to repeat him or herself to the live agent. The chatbot chat session may be linked to a social networking account of the customer and may take place in association with a social networking profile page of the company.

Abstract: Systems and methods are disclosed for communication-based automated guidance. In one implementation, a first communication is received from a first user via a first device and in relation to a first user parameter. A second communication is received from the first user via a second device and in relation to a second user parameter. A response to the second communication is generated based on the first communication, the first user parameter, and the second user parameter. The generated response is provided to the second device.

Abstract: Systems and methods are disclosed for user identity location tracking. In one implementation, a first location instance associated with a user is received. The first location instance is encoded within a storage resource associated with the user. A request for a location of the user is received. The location of the user is determined based on the first location instance as stored within the storage resource. The determined location of the user is provided in response to the request.