Three screens that define the WeChat and H5 product shape.
The prototype should prove one complete loop: trusted WeChat entry, rich H5 voice support, and an operator view that turns interaction into action.
The guest is on the way to the property and has one trusted place to start if anything goes wrong.
WeChat pre-arrival message sent with reservation-aware voice CTA.
I just arrived. Which entrance should I use?
This is the trust layer: reservation-aware message, QR-friendly entry, and a clear voice CTA before the guest ever gets stuck.
Keep WeChat as the trusted entry point and persistence layer. Use H5 for richer voice UI and iteration speed. Keep the operator view focused on summary, escalation, and service-quality signals.
The product should reduce hesitation before the guest gets stuck.
The guest-facing product: WeChat entry, voice support, text fallback, check-in help, issue intake, and escalation.
The operator-facing layer: frustration and confusion markers, session summaries, service-quality feedback, and repeat issue detection.
It keeps the site architecture coherent. Hospitality becomes a vertical application with its own story, without pretending the whole site is already a rental software brand.
One end-to-end story that proves the product is operational, not conceptual.
Guest gets a pre-arrival WeChat message with a voice CTA after booking.
Reservation context, property rules, check-in window, and access instructions are preloaded.
Guest arrives late, cannot find the right gate, and taps to talk instead of typing.
AI confirms stay context, guides route and access, and adapts pace based on confusion and stress.
Guest receives entry details, Wi-Fi, and house rules in WeChat right after the call.
The session is summarized and turned into persistent instructions, not a one-off voice exchange.
If the lock still fails or something breaks, the guest can report it without starting over.
AI turns the issue into an operator-visible escalation with transcript, reason, and next action.
This category earns trust in moments when typing is the wrong interface.
The strongest moments are not abstract concierge use cases. They are late arrival, entry confusion, family travel, and in-stay problems where a real-time voice interaction feels like a front desk instead of a bot.
Voice matters most when guests are outside, tired, carrying luggage, and not in the mood to type.
A direct conversation often works better than OTA chat threads or long instruction blocks.
The real value is not only answering questions. It is turning conversation into clean next actions.
Use this page as the bridge into the WeChat and H5 prototype.
The next product step is not a full booking platform. It is a prototype that proves one flow well: WeChat entry, H5 voice session, operator visibility, structured WeChat follow-up, and escalation only when confidence or workflow boundaries require it.