Guide FloatChat

Floatchat- User Guid

– Registration
– Login
– Forget Password
– Navigation
– Creating your first bot

– Concept 
– Nodes 
– Configuring Integration
– Enabiling multiple languages 
– Enabling voice bots
– Enabiling data formating

– FAQ
– Docusense Search
– Entities
– Tabular Inputs
– Traning Resources
– Configuring Conversational Intelligence

– Slack 
– Telegram
– Microsoft Team 
– Facebook 
– Website 
– Whatsapp
– Twitter 
– Line 
– Mobile SDKs
– Instagram
– Email

– Creating a Broadcast
– Activating Bradcasts
– Import Contact List
– Send WhatsApp Template Message
– Campaigns
– Analytics for Broadcast and Campaign
– Retarget Broadcast
– Message Template 
– External Broadcast API 

– User 
– Analytics
– API Logs 
– Error History

– OneView Inbox (messages)
– Live chat Settings

– Two-Factor Authentication
– Managing your Team
– Managing your billing subscription
– Password & Security
– Region Settings
– Get Professional Help
– Managing your notifications
– Floatchat Technical Support

 

– Onboarding and Deployment
– How to use the conversation builder?
– How to add agents and use Live Chat
– How to set up discount pop-ups
– How to setup WhatsApp notifications
– How to set up Instagram Automation
– How to add FAQs
– Shopify Settings
– Conditional Abandoned Checkout Notifications
– User Segments
– Customer segment
– How to reduce return to origin (RTO) orders
– Release notes

– API Triggers

Harnessing conversational intelligence

The Train functionality will streamline the current chatbot setup experience and has been introduced to make it easier for the users to set up a chatbot as quickly and effectively as possible. This will allow users to set up answers to probable queries by setting up FAQs, defining Entities, uploading questions, and responses in a Tabular Input format or uploading relevant documents in Document Lookup. Floatchat NLP engine has been set up and has the intelligence to search across the four types and match the most relevant response according to the query asked. Also, users have the control to change most of the settings and search preferences according to their requirements.

Customers can click on Train from the left navigation bar and setup responses from the following available input options:

  • FAQ
  • Cognitive Search
  • Entities
  • Tabular Input
  • Training Resources
  • Configuring Conversational Intelligence

The Train functionality will streamline the current chatbot setup experience and has been introduced to make it easier for the users to set up a chatbot as quickly and effectively as possible. This will allow users to set up answers to probable queries by setting up FAQs, defining Entities, uploading questions, and responses in a Tabular Input format or uploading relevant documents in Document Lookup. Engati NLP engine has been set up and has the intelligence to search across the four types and match the most relevant response according to the query asked. Also, users have the control to change most of the settings and search preferences according to their requirements.

Customers can click on Train from the left navigation bar and setup responses from the following available input options:

  • FAQ
  • Cognitive Search
  • Entities
  • Tabular Input
  • Training Resources
  • Configuring Conversational Intelligence
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