WhatsApp Chatbot is a very essential part of Automation through italy telegram data WhatsApp Business API. From automating customer support to boosting sales, WhatsApp Chatbot is a key feature that every business prefers to integrate after getting its WhatsApp Business API.
When it comes to chatbot integration for your business, AiSensy provides very smooth chatbot integration with one of the best NLP (Natural Language Processing) Chatbot Platforms i.e. Google’s Dialogflow ES.In this tutorial, you’ll get to know how to build WhatsApp Chatbot Responses for the AiSensy Platform using Google’s Dialogflow.
Why Build A WhatsApp Chatbot?
An NLP-based WhatsApp Chatbot automates your customer new zealand whatsapp number data: a smart tool for modern marketing
support 24*7 and it answers almost every user query related to your products or services. It helps you to generate more sales even in non-working hours. A WhatsApp Chatbot replaces your live agent with high efficiency of work. Let’s proceed to how you can configure Dialogflow’s responses for AiSensy assuming you have the basic understandings of Dialogflow including:
- Conversation Flow
- Intents
- Entities
- Training Phrases
Considering we are now inside an Intent, let’s move forward to configure our WhatsApp Chatbot responses.
Basic Text Responses
To build a basic text response for your WhatsApp chatbot, turkey numbers database we use Default Text Response from the Dialogflow. We can create variants for a simple text message in the Default Text Response. Add A New Line To add a new line in a text response, we separate texts for two consecutive lines using ‘Shift + Enter’ Keys. Text written after ‘Shift + Enter’ Keys will be displayed in the next line of the same message in the WhatsApp Chat. New Text Message Response To add a new message or bubble in text responses, we separate texts for two consecutive messages using two semicolons ‘;;’. The text written after ‘;;’ will be displayed as a separate message in the WhatsApp Chat.
