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›Advanced Chatbot Application

Get Started

  • Build your First Chatbot

Basic Facebook Chatbot Setup

  • Overview
  • 1.1: Connect to Channels
  • 1.2: Create New Tree
  • 1.3: Build the First Node
  • 1.4: Create a Global Node
  • 1.5: Build Child Nodes
  • 2.1: Production Channel
  • 3.1: Draft a Post
  • 3.2: Create Comment Reply

Basic Instagram Chatbot Setup

  • Overview
  • 1.1: Connect to Channels
  • 1.2: Create New Tree
  • 1.3: Build the First Node
  • 1.4: Create Global Node
  • 1.5: Build Child Nodes
  • 2.1: Create Story Mention
  • 2.2: Create Comment Reply
  • 2.3: Send Push Message

Basic Web Chat Chatbot Setup

  • Overview
  • 1.1: Connect to Channels
  • 1.2: Create New Tree
  • 1.3: Build the First Node
  • 1.4: Create a Global Node
  • 1.5: Build Child Nodes

Basic WhatsApp Chatbot Setup

  • Overview
  • 1.1: WABA Subscription
  • 1.2: Connect WABA
  • 1.3: Check Approval Status of WABA
  • 1.4: Setup WABA with Used WhatsApp Number
  • 1.5: Reset / Terminate WABA
  • 2.1: Create New Tree
  • 2.2: Build the First Node
  • 2.3: Create a Global Node
  • 2.4: Build Child Nodes
  • 2.5: Connect to Datasource
  • 3.1: Create Priority Group
  • 4.1: Create Product Message

Common Use Case Application

  • Overview
  • 1.1: Apply Fail-Safe to Chatbot
  • 1.2: Apply Member Unsubscription Flow to Chatbot

Advanced Chatbot Application

  • Overview
  • Apply Datasource to Chatbot
  • Apply Payload Value to Chatbot
  • Apply API to Chatbot
  • Apply Custom Locale to Chatbot
  • Apply Opt-in Flow to Chatbot
  • Apply Agenda to Chatbot
  • Apply Stella API to Chatbot
  • Apply Web Event to Webchat Chatbot

Error Handling

  • Handle Errors for Chatbot

Stella Partner Portal Setup

  • Overview
  • 1.1: Partner Portal Setup
  • 1.2: New Customer Onboarding
  • 1.3: WABA Setup
  • 1.4: Check Approval Status of WABA
  • 1.5: Setup WABA with Used WhatsApp Number
  • 1.6: Reset / Terminate WABA

Template Tree

  • Overview
  • Create Template Tree
  • Manage Proxy Tree

Chatbot Testing & Deployment

  • Overview
  • Stage One - Tree Building
  • Stage Two - Testing Stage
  • Stage Three - Production Deployment

Slack Live Chat Tree Setup

  • Overview
  • 1.1: Create Tree for Live Chat Assignment
  • 2.1: Set Up Pick Ticket Status
  • 2.2: Create Done Command
  • 2.3: Create Transfer Command
  • 2.4: Create Archive Function
  • 2.5: Create Member Tagging/Remarks Command
  • 3.1: Automatic End Live Chat Function

Zendesk Live Chat Tree Setup

  • Overview
  • 1.1: Create Tree for Assignment
  • 2.1: Create Done Command
  • 2.2: Auto End Live Chat Function

FAQ Chatbot Setup

  • Overview
  • 1.1: Exact Keyword Match
  • 1.2: Keyword Groups Match & Diversion
  • 2.1: Redirect to Existing Chatbot Tree
  • 2.2: Data Analytics for FAQ Chatbot
  • 2.3: NLP for FAQ Chatbot
  • 3.1: Filtering Questions for FAQ Chatbot

NLP Chatbot Setup

  • Overview
  • 1.1: Apply NLP to your Chatbot
  • 2.1: Set Up an NLP Fallback Tree
  • 3.1: NLP Fallback to Other Languages

Connect Shopify Store to Stella

  • Overview
  • 1.1: Integrate Stella to Shopify
  • 2.1: Setup Facebook Messenger Chatbot for Shopify
  • 2.2: Setup WhatsApp Chatbot for Shopify
  • 2.3: WhatsApp Customer Care Notification for Shopify

Stella Inbox Setup

  • Overview
  • 1.1: Connect Channel to Slack
  • 1.2: Access Control & Admin Panel
  • 1.3: Set up Customizable Message
  • 1.4: Inbox Channel
  • 2.1: Turn on Live Chat Directly
  • 2.2: End Live Chat Mode
  • 2.3: Ticketing
  • 2.4: Manage Ticket Helper
  • 2.5: Add Member Tag
  • 3.1: Send Chatbot Message

Apply API to Chatbot

Stella is a highly customizable bot building tool and provides the flexibility to build a personalized chatbot flow for any business use case. You can make use of actions in Stella, which includes both Pre-actions and Post-actions.

Please refer to the sample code below on fetching data from JSON placeholder.

The sample code logic is as follows:

  1. Stella has a specific syntax for actions. You must return a new promise and resolve it at last.
  2. Assume the chatbot has asked the customers their user ID, the chatbot will then get the questions answer(user's ID) from customer and save it as a constant in Javascript
  3. Fetch data from JSON placeholder. Stella is using node-fetch npm package in here.
  4. Assign user data to this.member with this.lodash.set
  5. Update this.member through the use of resolve
return new Promise(async (resolve, reject) => {
  try {
    const userId = this.messageEvent.data.text
  
    const userInfo = await this.fetch(`https:\/\/jsonplaceholder.typicode.com/users/${userId}`)
      .then(res => res.json())
    
    this.lodash.set(this.member, "botMeta.tempData.userInfo", userInfo)
    
    resolve({
      member: this.member
    })
  } catch (error) {
    reject(error)
  }
})

For later usage, you can access the to-dos data with this.lodash.get(this.member, "botMeta.tempData.userInfo", null).

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