Lecture Notes: Building a Powerful AI Hotel Customer Support Chatbot

Introduction

• Purpose: Create a powerful AI hotel customer support chatbot using Voiceflow.
• Functions: Handle customer support inquiries, bookings, and local attraction suggestions.

Demo Walkthrough

• General Support: Answers questions about hotel amenities.
  • Fitness center available 24/7.
  • Check-in: 3:00 p.m., Check-out: 12:00 p.m.
  • Extra beds upon request.
  • Complimentary Wi-Fi, password: Hotel2024.
• Booking Process:
  • Collects customer information (name, email, phone).
  • Room selection: Junior Suite, Executive, Presidential, Standard, Deluxe.
  • Confirms booking details and processes payment.
  • Stores booking details in Airtable.
• Local Attractions: Suggests places like Nairobi National Museum, Giraffe Center, Nairobi National Park.

Building the Chatbot

• Tool: Voiceflow for chatbot development.
• Account Creation: Register on voiceflow.com.
• Import Template: Access free template from video link.

Chat Workflow

• Greeting: Starts with AI assistant introduction.
• User Queries: Captures user response and provides AI-generated answers.
• Handling Responses: Uses GPT-3.5 with low temperature for predictability.
• Error Handling: Provides fallback messaging if AI fails to generate a response.

Booking Workflow

• Trigger: Intent-based triggering for booking inquiries.
• Capture Information:
  • Name, Email, Phone: Uses entities to capture specific data parts.
  • Room Selection: Dynamically rendered using Airtable data.
• Function Calls:
  • API Calls: Retrieves room availability from Airtable.
  • JavaScript Logic: Formats prices, handles room selection, and calculates total.

Payment and Confirmation

• Payment Module: Custom action triggers payment modal.
• Booking Confirmation: Sends booking confirmation email using make.com.
• Airtable Integration: Stores booking details.

Local Attractions Feature

• Intent-Based Trigger: For suggesting local attractions.
• Dynamic Rendering: Uses JavaScript and custom actions for flexibility.
• Global Listening: Allows users to re-select attractions if needed.

Deployment

• Integration Code: Copy from Voiceflow for embedding on websites.
• Customization: Change appearance to match hotel branding.

Additional Resources

• Templates and Code: Available through links in the video description.
• Collaboration: Opportunities to work with the team for custom AI solutions.

Conclusion

• Comprehensive walkthrough of building a hotel customer support chatbot using Voiceflow.
• Explored advanced features like dynamic data rendering and error handling.
• Encouragement to explore more on Voiceflow and related tools for enhanced chatbot functionalities.