Build Your AI Customer Support Chat Bot in Minutes 🤖✨
As companies grow, they face an increasing number of repetitive customer inquiries. A smart AI chatbot can automate responses, reduce support workload, and provide instant answers to users.
This guide will show you how to build a customer support AI chatbot using Quickchat AI—leveraging a knowledge base to create a truly conversational experience.
🎥 Watch the Video Guide
Why AI Chat Bots?
Most customers don’t want to dig through FAQ pages. Instead, they prefer instant answers. A conversational AI chatbot can:
✅ Answer frequently asked questions
✅ Provide real-time support
✅ Reduce workload for human agents
✅ Engage users naturally through conversation
In this guide, we’ll take DHL’s FAQ page as an example and convert it into a chatbot using Quickchat AI.
🚀 Step 1: Set Up Your AI Chat Bot
To begin, head over to the Quickchat AI dashboard and navigate to:
- Integrations → Customize the chatbot’s design.
- Knowledge Base → Add relevant information.
- Test Your AI → Adjust responses as needed.
🧠 Step 2: Structuring the Knowledge Base
Your chatbot’s knowledge base should consist of concise and informative paragraphs (each under 150 words).
Best sources for your chatbot’s knowledge base:
- FAQ pages
- Product documentation
- Customer support guides
- Blog posts and articles
- Internal support databases
- Example conversations
A well-structured knowledge base improves chatbot accuracy and avoids irrelevant responses.
📋 Step 3: Copy Raw Text from FAQs
For this guide, we’ll use DHL’s FAQ page as our example.
👉 Start by copying text from the FAQ section:
🛠️ Step 4: Formatting the Knowledge Base
If pasted as-is, the FAQ content may not work well in conversations. Let’s optimize the formatting by following these best practices:
✅ Best Practices for AI Knowledge Base
1️⃣ Include links within text and explain their content.
2️⃣ Ensure each paragraph is coherent and self-contained.
3️⃣ Avoid Q&A pairs—use full, natural answers.
4️⃣ Convert long bullet-point lists into concise, comma-separated lists.
🔗 Best Practice #1: Properly Format Links
Instead of pasting hidden links, structure them clearly:
❌ Bad Example (Hidden Link)
If you want to import medication, click here.✅ Good Example (Proper Context)
If you want to import medication into the U.S., you can check the official [DHL guidelines](https://mydhl.express.dhl/us/en/help-and-support/faqs/shipping-online.html).This helps the chatbot correctly reference links in conversations.
📖 Best Practice #2: Ensure Each Paragraph Makes Sense
If an FAQ item has separate questions and answers, merge them into coherent paragraphs.
❌ Bad Example (Question & Answer Pair)
Q: Can I use my own packaging when shipping with DHL?
A: Yes.✅ Good Example (Full Answer)
You are allowed to use your own packaging when shipping with DHL.This ensures the chatbot responds naturally without requiring exact Q&A matching.
📜 Best Practice #3: Avoid Multiline Lists
Bullet-point lists don’t work well in chatbots. Convert them into concise, comma-separated lists.
❌ Bad Example (Long Bullet List)
To add DHL as a trusted site:
- Open Internet Explorer
- Go to Internet Options
- Click Security Tab
- Add DHL to trusted sites✅ Good Example (Single-Line List)
To add DHL as a trusted site, open Internet Explorer, go to Internet Options, click the Security tab, and add DHL to trusted sites.This ensures better chatbot readability.
🛠️ Step 5: Testing Your AI Chatbot
Once you’ve formatted your knowledge base, test your AI chatbot in the Quickchat AI dashboard.
Example Chatbot Conversation
User: “How do I print shipping labels?”
AI Chatbot: “If you’re experiencing issues with printing DHL shipping labels, you may need to add DHL as a trusted site in your browser settings. Here’s how to do it for Chrome: DHL Support.”
This testing phase helps fine-tune responses for better accuracy.
🚀 Start Building Your AI Chatbot Today!
By following these steps, you can create a customer support chatbot that provides instant answers and reduces support workload.
👉 Try Quickchat AI Now and build your own AI chatbot today!