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Advanced Automated Responses are a method of extracting data from a client through an ordinary discussion with a chat-box on your preferred source of communications,
allowing for clients to get detailed and accurate responses based on their questions or answers that occurred during a conversation.

This functions using three main components, the communication platform of choice, the central knowledgebase containing all questions, answers and instructions to allow the third component, the robot, to process advanced
scenarios to provide the best outcome for the client.

The communication platform is where the conversation between the client and the chat-box take place, on a company website this would often be initiated by interacted with a floating-button located on the right
side of the browser window. Other platforms are also supported, such as direct messages on social media on sites like Facebook or Twitter, or on their phone through text messaging.
To note, answers can be tailored to provide the best readability depending on the platform used, as an example responses via text messaging might only send text whereas on browser
or social media responses could return imagery as well.

The most important component of this process is combination of the knowledgebase and the robot, which allows for the intent of questions to be determined, as well as bring the client on a journey to discover the best outcome for their questions.
When processing the intent of these questions, the knowledgebase can also send instructions to a robot in real time to assist in the processing of a query. This could be anything along the line from retreiving data
from an up to date database to filling out details into a form located within a legacy application. Once completed a robot will notify the knowledgebase, which will notify the client through the communication platform.

To demonstate this functionality, we have set up a quick scenario showing off the ability for a user to ask a chat-bot about the prices of a specific make and model of a car.
This uses the knowledgebase to ask the user a series of questions in order, and passes off the preferred car information to a robot to search trademe on a browser running on a windows machine.

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