KivvaTech
Travel & Hospitality

AI & Software for Travel and Hospitality

Smarter booking. Higher revenue. Loyal guests.

We build technology for airlines, hotels, OTAs, and travel management companies — dynamic pricing engines, AI-powered booking experiences, personalisation platforms, and operational systems that maximise revenue per seat and per room.

Industry challenges we solve

The real problems, not the ones that look good on slide decks.

Revenue leakage from static pricing

Static rate cards leave revenue on the table during peak periods and fail to fill capacity during low demand.

High customer acquisition cost

OTAs take 15–25% commission. Travel brands need direct booking channels and loyalty programmes that actually work.

Generic guest experience

Travellers expect hotels and airlines to know their preferences. Personalisation at scale requires AI, not manual segmentation.

Operational inefficiency

Property management, crew scheduling, and supply chain coordination remain largely manual — creating costly inefficiencies.

How we help

Proven solutions built on modern AI and software engineering, not off-the-shelf tools repackaged.

Dynamic Pricing & Revenue Management

ML pricing models that account for demand signals, competitor rates, cancellation patterns, and booking window to maximise RevPAR and RASM.

Personalised Booking Experience

AI recommendation engines surfacing the right upsells, room upgrades, and ancillary products at the right moment in the booking flow.

AI Concierge & Guest Services

24/7 AI concierge for pre-arrival communication, in-stay requests, restaurant bookings, and post-stay feedback — across chat, SMS, and app.

Demand Forecasting

Property and route-level demand forecasts incorporating events, weather, school calendars, and macroeconomic signals.

Loyalty & CRM Intelligence

Guest lifetime value models, churn prediction, and personalised loyalty communications that drive direct booking and repeat visits.

Operations Automation

Housekeeping scheduling, maintenance prediction, and supply chain optimisation driven by occupancy forecasts and IoT sensor data.

Results from the field

Concrete outcomes from real deployments, not illustrative scenarios.

22%

RevPAR increase

Dynamic pricing engine delivers 22% RevPAR uplift for boutique hotel group

ML pricing model replacing manual rate management — optimising 500+ room types across 8 properties.

35%

direct bookings increase

AI concierge drives 35% increase in direct bookings

Personalised pre-arrival communications and seamless chat-based booking reduced OTA dependency significantly.

18%

ancillary revenue uplift

In-context upsell engine drives 18% ancillary revenue increase for OTA

Real-time recommendation model surfacing room upgrades and experiences at highest-conversion moments.

Technologies we deploy

ML / AI

Time series modelsReinforcement learningNLPPyTorch

Integrations

PMS systemsGDSChannel managersAmadeus APIs

Frontend

ReactNext.jsReact NativeTypeScript

Data

SnowflakeKafkadbtRedis

Ready to let AI manage your pricing and guest experience?

We understand PMS integrations, GDS complexity, and the revenue management challenges specific to travel.

No commitment to start · NDA available on request · Senior engineers only