Tutorial

Build a Customer Support Chatbot in 10 Minutes

Sarah Chen
Head of Content
February 8, 2026
7 min read

Introduction

A customer support chatbot handles repetitive queries — order status, refund policies, business hours — so your agents can focus on complex issues. With InboxCentral's visual bot builder, you can build and deploy one in under 10 minutes. No coding required.

What You'll Build

By the end of this tutorial, you'll have a chatbot that:

  • Greets customers and presents a topic menu
  • Answers FAQs using your knowledge base
  • Checks order status via API integration
  • Hands off to a human agent when it can't resolve
  • Step 1: Create a New Bot (1 minute)

    Go to Bots > Bot Builder in InboxCentral. Click "New Bot" and give it a name — for example, "Support Bot". Select which channels it should run on: WhatsApp, Instagram, web chat, or all of them.

    Step 2: Add a Greeting Node (1 minute)

    Drag a "Message" node onto the canvas. Type your greeting:

    "Hi there! I'm your support assistant. How can I help you today?"

    Add quick reply buttons:

  • Order Status
  • Returns & Refunds
  • Pricing & Plans
  • Talk to an Agent
  • Step 3: Connect to Knowledge Base (2 minutes)

    For the "Pricing & Plans" branch, drag an "AI Agent" node. Connect it to your Knowledge Base — upload your pricing page, FAQ document, or help center URLs.

    The AI agent searches your knowledge base and responds with relevant answers in natural language. If it can't find an answer, it triggers the human handoff node.

    Step 4: Add Order Tracking (3 minutes)

    For the "Order Status" branch, drag an "Input" node to collect the order ID. Then drag an "API Call" node:

  • Method: GET
  • URL: https://api.yourstore.com/orders/{orderId}
  • Map the response: status, tracking_url, estimated_delivery
  • Add a "Message" node that displays the results:

    "Your order #{orderId} is {status}. Estimated delivery: {estimated_delivery}. Track here: {tracking_url}"

    Step 5: Add Human Handoff (1 minute)

    For the "Talk to an Agent" button and all fallback paths, drag a "Handoff" node. Configure:

  • Transfer to: Support Team
  • Include conversation summary: Yes
  • Handoff message: "Connecting you with a support agent. They'll have our full conversation for context."
  • Step 6: Test and Deploy (2 minutes)

    Click "Preview" to test the bot in the simulator. Walk through each branch:

  • Test FAQ responses — verify the AI agent pulls correct answers
  • Test order tracking — enter a sample order ID
  • Test human handoff — verify the conversation transfers with context
  • Once satisfied, click "Deploy". The bot is now live on your selected channels.

    Measuring Bot Performance

    After deployment, monitor these metrics in InboxCentral's analytics:

  • Resolution rate: Percentage of conversations resolved without human handoff (target: 60-70%)
  • Handoff rate: Percentage transferred to agents (lower is better)
  • Average conversation length: Number of messages per bot conversation
  • CSAT for bot conversations: Customer satisfaction for bot-only resolutions
  • Tips for Better Bot Performance

    1. Keep Your Knowledge Base Updated

    The AI agent is only as good as its knowledge base. Update it whenever your pricing, policies, or product features change.

    2. Review Handoff Conversations

    Regularly review conversations that triggered handoff. If the same questions keep escalating, add them to your knowledge base.

    3. Start Simple, Expand Gradually

    Begin with 3-4 topic branches. Add more as you learn what customers ask about. A focused bot outperforms an overly ambitious one.

    Conclusion

    A support chatbot isn't a replacement for human agents — it's their force multiplier. By handling the 60-70% of queries that are repetitive, your agents have more time for the conversations that truly need a human touch.

    Sarah Chen
    Head of Content