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Customer Success

Turn AI capability into repeatable operational outcomes. Every hotel type has an actionable starting point.

OTA rating climbs steadily
90% complaint intercept rate
Staff efficiency doubles
Zero-friction multilingual service
Private-domain repeat growth
Brand reputation compounds

Boutique hotel · Chongqing

60 rooms Near Jiefangbei, Chongqing
Room rate ¥300–600, OTA rating 4.6, target 4.8
Tool stack
  • AI Retouching — replaces expensive photographers; 20 photos in a unified brand style
  • OTA Long-Image Generator — refreshes detail pages weekly
  • Review Reply Assistant — pro reply in 2 minutes per review (free)
  • Complaint Assistant — negative reviews stay internal
  • Travel Planner & Map — hand-drawn neighborhood map + multilingual plans

Scenic-area B&B · Dali

15 rooms Dali Old Town
Owner runs front desk, housekeeping and ops solo
Tool stack
  • AI Retouching — phone-shot all 15 rooms, swap brand styles freely
  • Social Content — Xiaohongshu 9-grid feed
  • Pre-Arrival & In-Stay Hub — guests self-serve via QR; less front-desk repetition
  • Review Reply Assistant — clears the queue in 10 minutes a night (free)

International business hotel · Shanghai

200 rooms Pudong, Shanghai
Business-traveler heavy, inbound guests rising
Tool stack
  • International Guest Assistant — 50+ cards + AI concierge for foreign guests
  • Guest Service Manual — multilingual self-serve manual + AI concierge
  • Pre-Arrival & In-Stay Hub — check-in guide in 11 languages
  • Complaint Assistant — multilingual complaint channel
  • Internal Operations Survey — questions sourced from complaints
  • Package Station — international luggage management
  • Translator Rental — device lend/return management

Onboarding playbook

Validate the highest-frequency scenarios first, then extend across the funnel.

1

Sign up

Create your account and hotel

2

Pick a scenario

Start with 1–2 highest-pain scenarios

3

Validate

Run the core flow end-to-end

4

Scale

Upgrade plan as needed

Find a fit for your hotel

Start with 1–2 highest-pain scenarios, validate the impact, then scale up.