Please enable JavaScript.
Coggle requires JavaScript to display documents.
L10 chatbot - Coggle Diagram
L10 chatbot
-
Agents, Intents and Entities in Dialogflow
Agent
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.
intent
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. For 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.
entity
Entity
When an intent is matched, Dialogflow can extract specific information from the end-user expression. The extracted data is called a parameter or entity type. Parameters and entity types are structured data that can help us make better sense of what the user is trying to find out.
introduction
test this chatbot
In an increasingly connected world, customers and businesses interact beyond the usual operating hours. In the past, a consumer would visit a mall, take a queue number, and seek help at the customer service counter. Surely this is still happening today, but there are additional platforms which allows the mall to interact with its clients autonomously.
why use the chatbot
-
With the use of chatbots, manpower can be re-allocated to areas of work which cannot be automated
-
-
-