Cloudbeds Teams Up with Traversing.ai for Faster Replies, Centralized Reviews, and More Direct Bookings

AI-Powered Review Management and Guest Messaging Now Integrated into Cloudbeds: What Managers Need to Know

Published on December 21, 2025

Cloudbeds has partnered with Traversing.ai to bring AI-driven guest messaging and review management directly into the Cloudbeds platform. The goal is simple: centralize communication, automate routine responses, and improve service speed without adding headcount.

For hotel leaders, this means one system for voice, chat, and digital messaging-plus consolidated online reviews. Faster replies, fewer dropped requests, and clearer insights that help drive direct bookings and revenue.

Why this matters for management

• One hub for guest communication and reviews, instead of juggling multiple tools.
• Automated replies to common questions free up staff for higher-value interactions.
• Auto-translation across 100+ languages expands your reach and reduces friction with international guests.
• Consistent, on-brand messaging across phone, chat, and digital channels.

Core capabilities inside Cloudbeds

• Unified inbox for voice, chat, and messaging with instant responses to FAQs (availability, check-in times, amenities, policies).
• AI-assisted review management: monitor, prioritize, and respond faster across major platforms.
• Smart routing and escalation for complex requests to ensure issues don't stall.
• Language support with auto-translation so staff can serve guests in 100+ languages in real time.

Expected business impact

• Response times measured in seconds, not hours.
• Higher guest satisfaction scores driven by faster, consistent service.
• More direct bookings through quick answers and proactive messaging.
• Lower handling costs per inquiry as repetitive tasks shift to automation.

Implementation checklist (30-60 days)

• Connect all channels (phone, chat, messaging) to the Cloudbeds inbox.
• Define reply playbooks for FAQs, pre-arrival, in-stay, and post-stay follow-ups.
• Set escalation rules by issue type, value of the guest, and time thresholds.
• Load brand voice guidelines and approved templates for sensitive topics (billing, cancellations, overbookings).
• Configure review monitoring: routing, SLAs, and approval flows for public replies.
• Pilot with one or two properties, measure results, then roll out portfolio-wide.

Governance and quality controls

• Human-in-the-loop for complex or high-stakes interactions.
• Clear audit trails: who responded, when, and via which channel.
• Data handling policies for guest privacy and record retention.
• Regular reviews of AI suggestions to keep tone, accuracy, and policy compliance on track.

KPIs to watch

• First response time and full resolution time by channel.
• CSAT/NPS during pre-arrival, in-stay, and post-stay windows.
• Review volume, average rating, and response rate/time by platform.
• Direct booking conversion from messaging interactions.
• Labor cost per inquiry and per reservation.

Team enablement

• Train front desk and reservations on when to accept, edit, or override AI suggestions.
• Align incentives with response SLAs and guest satisfaction targets.
• Run weekly scorecards to surface issues, update templates, and close gaps.

Who benefits most

• Independent hotels and small groups aiming to compete with fewer tools and lean teams.
• Properties handling high call/chat volume or frequent multilingual requests.
• Teams looking to lift direct bookings without expanding payroll.

Next steps

• Connect with your Cloudbeds representative to enable the integration and define pilot scope. Learn more about Cloudbeds.
• Pick two properties with different demand profiles, set clear KPIs, and run a 6-8 week pilot.
• Standardize what works: templates, escalation paths, and reporting. Then scale.

Want your team fluent in AI workflows?

If you're building internal capability for messaging, automation, and operational AI, consider structured training for managers and frontline teams. Start here: AI courses by job role.