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AI Integration
PMS ConnectedWhatsApp ConciergeDynamic Pricing

Hospitality AI Integration

Your Front Desk Answers The Same 20 Questions 200 Times A Day

3,600
Monthly Searches
AI for hospitality keywords
70%
Calls Deflected
AI handles guest questions
5,000+
Sites Built
12+ years experience
95+
Lighthouse Score
Performance target
What Hospitality AI Actually Does — And What Your Team Still Controls

Your guest messages at 2am asking if they can move to a ocean-view room. The AI checks your PMS, sees 307 is available, and responds in their language — German, Portuguese, Japanese, whatever they wrote in. No staff woken up. No generic "we'll check in the morning" holding pattern. That's hospitality AI integration. It's wiring intelligence into your property management system, your booking engine, TripAdvisor, Google reviews, WhatsApp — the infrastructure your hotel already runs on. Your AI concierge answers real questions from real availability data. When a guest mentions your rooftop bar in a review, the AI drafts a response that actually references the rooftop bar. Your room rates adjust based on competitor pricing, local events, and booking velocity — not what someone manually updated last Tuesday. Your staff isn't replaced. They're freed from the repetitive work that's burning them out: review responses, after-hours booking questions, staffing forecast spreadsheets. We've built these integrations for boutique hotels in Charleston and 300-room resorts in Cancún. The technology works now.

プロジェクトが失敗する理由

Here's a problem every front desk manager knows intimately: the same 20 questions, answered 200 times a day What's the check-in time? Is there parking? Can I get a late checkout? And honestly, it's not just tedious -- it grinds people down. Staff burnout is real, and so is the inconsistency that comes with it. Guest number 47 gets a warm, detailed answer. Guest number 183 gets a tired shrug. That inconsistency costs you reviews.
TripAdvisor reviews pile up unanswered for weeks -- sometimes months And potential guests notice. They scroll through your listing, see five reviews with zero response, and quietly book the hotel down the street that actually seems to care. It's not a dramatic moment. It's just a lost booking you'll never know about.
Revenue management shouldn't still be a spreadsheet someone updates on Friday afternoons But at a lot of properties, that's exactly what it is. And during a big local event -- a conference, a festival, a sold-out game -- you're leaving serious money on the table while competitors adjust their rates in real time.
Gut feel is a terrible staffing strategy Some managers are good at it, sure. But even the best ones end up overstaffed on a quiet Tuesday and completely overwhelmed during a convention weekend they didn't anticipate. Booking data already tells you what's coming -- you just need something to actually read it.
It's 11pm A guest wants to know if the spa opens early tomorrow, or needs to add a night to their stay. There's nobody at the desk. So they wait, get frustrated, and sometimes that frustration ends up in a review. After-hours service gaps are one of the most fixable problems in hospitality -- and one of the most overlooked.
Most F&B managers are guessing They promote the dish that feels popular, retire the one that seems slow, and never quite know if their margins are actually improving. Meanwhile, a high-margin sleeper item sits buried on page two of the menu because nobody's connecting sales data to review sentiment to figure out what guests actually love.

コンプライアンス

AI Guest Concierge

Your guests are already on WhatsApp -- so meet them there. We connect an AI concierge directly to your PMS so it can handle restaurant recommendations, pull up real-time availability, answer questions about amenities, and process booking modifications. Not generic answers. Actual information from your actual property. And it runs 24/7, in whatever language your guest is writing in.

Review Response AI

The review response workflow is pretty straightforward. AI monitors your Google and TripAdvisor profiles, drafts a personalized response for each review -- one that references specific things the guest mentioned -- and then flags it for a staff member to approve before anything goes live. You're not publishing automatically. But instead of reviews sitting unanswered for three weeks, you're responding within hours.

Revenue Management AI

Dynamic pricing isn't just "charge more on weekends." The AI looks at your occupancy data alongside competitor rates, upcoming local events in your market, and how fast bookings are coming in -- then surfaces pricing suggestions designed to move your ADR and RevPAR in the right direction. It's not magic. It's just doing the analysis that used to take a revenue manager half a day, in about 30 seconds.

Staff Scheduling AI

Two weeks out, the AI looks at your booking patterns and tells you -- by department -- what staffing levels you're probably going to need. Front desk, housekeeping, F&B. So instead of scrambling on a busy Saturday, your team lead knew on Wednesday it was coming.

Menu Optimization

Connect your POS sales data to guest review sentiment and suddenly you can actually see what's working. Which dishes are ordered constantly and loved? Which ones are selling fine but generating complaints? AI flags the high-margin favorites you should be pushing and the underperformers worth cutting. The menu gets tighter. Margins improve.

Guest Communication

Pre-arrival messages, check-in instructions, post-stay feedback requests -- all automated, all personalized based on whatever your PMS knows about that guest. A returning guest gets a different message than a first-timer. A guest who booked a suite gets different information than someone in a standard room. It runs without anyone touching it.

構築する内容

Pulls real availability from your PMS before answering guest questions

Your guests get answers from actual room assignments and booking history — not scripted FAQ nonsense

Responds in 50+ languages without translation plugins or awkward phrasing

International guests message in their language and get responses that don't feel machine-translated

Reads each review and writes responses that reference specific details guests mentioned

Potential bookers see you respond specifically to every review instead of scrolling past silence

Weighs competitor rates, event calendars, and booking velocity before suggesting price changes

Your rates adjust before a local conference fills competitor hotels while you're still underpriced

Connects to Opera, Cloudbeds, Mews, Guesty, Booking.com, Expedia, TripAdvisor, Google

Your existing tech stack stays intact — no ripping out your PMS to adopt another platform

Tracks concierge usage, response times, review sentiment trends, and NPS movement from day one

Most properties see measurable guest satisfaction improvement within 60 days, not 6 months

私たちのプロセス

01

Property Audit

Before we build anything, we map the whole picture -- your PMS, booking channels, review platforms, and how guest communication actually flows through your property right now. Then we figure out where AI is going to move the needle fastest. That's where we start.
Week 1
02

Integration Design

From that map, we design the actual connections: how the PMS talks to the concierge bot, what the review response templates sound like in your brand voice, how the pricing algorithm factors in your specific market. Everything's built for your property, not copied from a template.
Week 2
03

Build and Connect

Then we build it. PMS connections, concierge bot, review responder, pricing engine. And before anything goes live, we test it against real guest scenarios -- the weird edge cases, the after-hours requests, the angry reviews -- to make sure it handles them the way you'd want.
Week 3-5
04

Staff Training

Technology only works if your team actually uses it. So we run training sessions with front desk, revenue, and F&B staff -- not just "here's how to log in" but genuinely working through how AI fits into their day. And we tune the brand voice so the AI sounds like your property, not like everyone else's.
Week 6
05

Launch + Optimize

Go-live isn't the end -- it's where the real work starts. We monitor alongside you, track call deflection rates, review response times, and ADR impact, and stay on call for the first 30 days at no extra charge. The metrics tell you pretty quickly what's working and what needs adjusting.
Week 7-8
Claude APIOpera PMSWhatsApp APISupabaseVercelTwilioGoogle Places API

よくある質問

What PMS systems do you integrate with?

We integrate with Opera, Cloudbeds, Mews, Guesty, and custom PMS platforms. Plus booking engines, channel managers, and review platforms including TripAdvisor and Google Business. If you've got something unusual or custom-built, we've probably dealt with it before -- ask us.

How does the AI concierge work?

Guests reach out through WhatsApp, your website chat, or SMS -- wherever they're most comfortable. The AI handles amenity questions, gives local restaurant recommendations, modifies bookings, and processes requests, all while pulling live availability and guest history from your PMS. So the answers are actually accurate, not just plausible-sounding.

Can AI respond to reviews automatically?

Within hours of a Google or TripAdvisor review going live, the AI drafts a personalized response that references specifics from what the guest actually wrote. A staff member reviews it and hits approve. That's it. In practice, most properties save 5--10 hours a week on review management alone -- and response rates go from "occasionally" to "every single review."

How much does hospitality AI cost?

The AI concierge chatbot starts at $3,000. The full suite -- review management, revenue optimization, staff scheduling, the whole thing -- runs $8,000 to $15,000 depending on property size and integration complexity. And honestly, most hotels hit ROI within 90 days just from reduced front desk call volume, before you even factor in the revenue management upside.

Hospitality AI From ,000
PMS-connected. Concierge. Reviews. Revenue. Fixed-price.
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