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The 24/7 Agent, Entity - Coggle Diagram
The 24/7 Agent
Advantage
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With the use of chatbots, manpower can be re-allocated to areas of work which cannot be automated
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Google Dialogflow
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Agent
A Dialogflow agent is a virtual agent with the mission to handle conversations with your customers. Once a user sends a text message to the Dialogflow agent, Google uses artificial intelligence to translate the message into structured data with the aid of NLP.
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Intent
Customers reach out to chatbot agent to acquire certain information. Two different customers may ask the same thing differently, but their intent is the same.
Example: or example, if User A asks the chatbot "What time do you open on Saturday?", and User B asks "What are the opening hours on weekends?", both have the same intent of finding out the opening hours.
What a customer types to the chatbot is referred to as an "end-user expression". Dialogflow matches the end-user expression to the best intent in your agent. Matching an intent is also known as intent classification.
Chat bots
How they work
Chatbots are able to interact with customers in real-time to resolve issues, conduct transactions, and answer questions. Intelligent chatbots can also predict customer intentions and offer specific help when they detect that a customer may need assistance.
Entity
System Entities
Dates, numbers, times, email address.
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defined data which we wish to pick up from end-user expressions. Our bots can be trained to look out for such entities in the conversation to make conversations more meaningful.
When the intent is matched, Dialogueflow can extract specific information from the end-user expression. Data extracted then on is called a parameter and entry types are structured data that can help us make better sense of finding out what the user.
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