AI Customer Service · Live Demo
See how AI customer service answers, acts, hands over and learns
— a Qinglan Lake Resort case
A resort combining tickets, a hotel and a cableway. Visitors ask “Lan” in the mini program about tickets, reschedules, refunds, invoices and lost items, and are handed to a human agent with a summary when needed. Type a question below, or use the guide on the right.
- 1Holiday spikes and queues for a human → 24/7 instant answersAI takes every incoming message first, scales automatically at peaks, and can answer and act overnight with a 1-second average first response
- 270% are repeat questions → answers grounded in the knowledge baseFares, discounts, opening hours and parking are retrieved from the knowledge base with sources cited; if it isn't sure, it doesn't guess
- 3Bots that only answer, forcing a jump to act → act right in the chatLook up orders, reschedule with price differences, refund, invoice and log lost items in one flow, with same-day hotel and cableway changes linked together
- 4Repeating yourself to a human, complaints escalating → sentiment detection + summary handoverUpset visitors are routed to a human first; agents get the request, order and suggested resolution, and compensation vouchers are issued in the chat
- 5Blind spots and slow knowledge updates → feedback loop and proactive serviceUnanswered questions go to a to-fill list and go live across channels on publish; events such as cableway suspensions reach affected visitors in advance
Try “Can I change the date of my ticket for the day after tomorrow?” or “Can I bring a drone?”, or send an order screenshot.
Ask a question on the phone and this panel lights up the AI's processing chain step by step: intent and sentiment, knowledge retrieval, business-system calls and routing.
Service Dashboard · Resort
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“Qinglan Lake Resort”, its visitors and agents are fictional demo personas; replies are simulated by local rules and are not connected to a real LLM. Orders and chats stay in this browser only and no real payment is taken.