AI for hospitality that wins direct bookings and protects RevPAR.
We embed engineers inside hotel groups, travel platforms, OTAs, and F&B chains for 4 weeks walk front desks, shadow reservations, audit PMS data, read every OTA review. Then we ship revenue-moving, CX-protecting AI every month. 14% lift in direct-booking share is not a slide it is what a tier-1 hotel brand measured in 120 days.
lift in direct-booking share
first-contact resolution on guest queries
reduction in cancellation-to-no-show conversions
Why "AI for hospitality" projects keep missing the revenue line
Revenue management and marketing work separately
Pricing is set by a revenue manager; personalisation is run by marketing. The AI either over-discounts or mismatches audience. Margin leaks.
Data is locked in the PMS
OPERA, eZee, IDS each PMS has its own integration story. Without a clean bi-directional feed, AI recommendations are stale or cannot be enforced.
OTA dependence is never renegotiated
You cannot lower commission without a credible direct-channel story. AI without a CRO + loyalty roadmap is a feature, not a strategy.
Guest data silos break personalisation
Stay history in PMS, loyalty in another system, reviews in a third, CRM in a fourth. The AI knows one-quarter of the guest.
Every metric is a problem we solved.
Real numbers from live hospitality & travel deployments.
OTA commission eats 18–25% of every booking
Cancellations become no-shows
Guest queries arrive on 5 channels
F&B wastage is a nightly guess
What your team actually says.
"OTA commission eats 22% of every booking."
Director of Revenue
"We read reviews weekly. The damage is already done."
GM
"Cancellations just release inventory. We don't fight."
Reservations Head
"The same guest messages us on 4 channels."
Guest Relations Manager
"F&B wastage is 18%. Covers forecasting is a guess."
F&B Director
"Check-in is a queue. Upsell is on hold."
Front Office Manager
Use cases that move the needle.
01Dynamic Pricing & Offer Personalisation
Room-type, date, segment, and loyalty-aware pricing against live demand and OTA parity.
02Review Clustering & Action Queue
Cross-platform review themes routed to the right department with trend tracking.
03Cancellation-to-Rebook Recovery
Real-time AI offer and channel escalation at cancellation.
04Unified Guest Messaging
Omnichannel inbox with AI-drafted responses and full guest context.
05F&B Forecasting & Wastage Reduction
Per-outlet, per-daypart demand forecasting feeding kitchen prep and procurement.
06Upsell Copilot at Check-In
Per-guest upgrade offers based on length of stay, loyalty, and availability.
Four pillars. Translated for Hospitality.
An Engineer Inside Your Property
Our Forward Deployed Engineer walks front office, shadows reservations, sits with revenue management, and reads your review dashboards. They understand why your suite upgrade rate collapses on weekends.
Hospitality-Grade R&D
Our Research Engineers run 2-week sprints on your booking, stay, review, and OTA data parity violations, review-theme drift, segment elasticity so the model works for your brand and market, not a generic chain.
A Working Release Every 30 Days
Mid-month shadow pricing or pilot at one property. End-of-month rollout on a brand or region. Every release is measured on RevPAR, direct-share, NPS, and cost-per-message.
We Own the RevPAR & Direct-Share Number
We don't bill hours. Every month you get delta on RevPAR, direct-booking share, OTA commission %, review NPS, and cancellation-recovery rate. If the numbers aren't moving, you'll know.
What happens in the first 30 days.
Property Walk & Data Inventory
Our engineer walks properties, shadows revenue and reservations, audits PMS, channel manager, and loyalty. Interviews guests where consent allows.
Distribution & Guest Data Mapping
OTA commission stack, direct-channel CRO, loyalty data flows, and guest-360 blockers documented.
AI Opportunity Scoring & Mockups
Each opportunity scored by RevPAR and margin impact, feasibility, and data readiness. Mockups validated with revenue, marketing, and GM.
Strategy Deck & Roadmap Delivery
12-month AI roadmap, cost-benefit case, integration architecture, and measurement plan handed over. Yours to keep.
What you walk away with
We speak your regulatory language.
Regulations & Certifications
- DPDPA 2023 — Guest PII handling
- GDPR — For EU guests
- PCI-DSS — Card payment data
- FSSAI — For F&B operations
- TRAI / WhatsApp Business Policy — Messaging compliance
Data & Protocol Standards
- OpenTravel Alliance (OTA) schemas
- HTNG
- schema.org / LodgingBusiness
- PMS-specific APIs (OPERA OWS, eZee, IDS, Cloudbeds, Little Hotelier)
Enterprise Systems We Integrate
- PMS OPERA Cloud, eZee, IDS Next, Cloudbeds, Little Hotelier
- Channel manager SiteMinder, STAAH, RateGain, Maxxton
- Loyalty proprietary, Voyat, Splash, or custom
- CRM Salesforce Hospitality, HubSpot, Revinate
- Review aggregation ReviewPro, TrustYou
- F&B / POS Toast, NCR Aloha, Posist, Petpooja
Questions we hear on the shop floor.
Book the 4-Week Hospitality Audit
Hotel · OTA · F&B · travel-agent ready. PMS + channel-manager native.
The first step is always a conversation.