In What Way is LiveX AI Agent Conversational? – LiveX AI Inc

Understands Intent, Not Just Keywords
- Instead of relying on exact matches, it interprets customer intent.
- Example: A customer asks, "Why is my bill so high this month?"
  - A basic bot might reply, "For billing inquiries, visit our website."
  - LiveX AI Agent would analyze usage patterns and respond, "It looks like you exceeded your data limit. Would you like to switch to a better plan?"
Context Awareness
- Remembers previous messages in a conversation to provide relevant responses.
- Example:
  - Customer: "I want to cancel my subscription."
  - AI: "I can help with that. May I ask why you’re canceling?"
  - Customer: "It’s too expensive."
  - AI: "I understand. We have a discounted plan that might work for you—would you like to explore it?"
Multi-Turn Conversations
- Handles back-and-forth interactions like a real support agent.
- Example: A customer troubleshooting an issue with software:
  - Customer: "The app keeps crashing."
  - AI: "I’m sorry to hear that! Are you seeing any error messages?"
  - Customer: "Yes, it says ‘server timeout.’"
  - AI: "Thanks for sharing. Try clearing your cache and restarting—if that doesn’t work, I can escalate this to an engineer."
Personalization & Empathy
- Uses customer data to make responses feel tailored.
- Example: A customer returns to ask about a previous issue.
  - AI: "Hi Sarah, last time we spoke, you were having trouble with your order. Did everything get resolved?"