Industries
Travel & hospitality
Booking engines, channel and property management, guest apps and dynamic pricing — with the peaks and third-party APIs the industry runs on.
What are the typical challenges in travel and hospitality software?
Travel platforms face seasonal spikes and flash sales, dozens of channel, GDS and payment integrations, guest requests spread across email, chat and phone, and pricing set by hand against competitors that change hourly. Demand is back to pre-pandemic levels: UN Tourism (2025) reports that international arrivals in 2024 recovered to roughly 99% of 2019 levels, and Eurostat (2025) counted around 3 billion nights spent in EU tourist accommodation in 2024. The rules are strict too: card data falls under PCI DSS v4.0 (2024) and online payments under PSD2 strong customer authentication.
- Seasonal traffic spikes and flash sales
- Dozens of channel, GDS and payment integrations
- Guest requests spread across email, chat and phone
- Pricing set by hand against competitors that change hourly
What do we build for travel and hospitality?
We build booking and reservation platforms and channel managers, property and tour management systems, guest and staff mobile apps, and integrations with GDS, OTAs, payments and loyalty programmes. Airline content is consumed through IATA NDC where carriers support it (IATA, 2024); hotel channels through the OTA and channel-manager APIs you already use. Package and linked-travel products are modelled to the requirements of the EU Package Travel Directive (Directive (EU) 2015/2302), and every integration is built to fail gracefully during a flash sale.
- Booking and reservation platforms, channel managers
- Property and tour management systems
- Guest and staff mobile apps
- Integrations with GDS, OTAs, payments and loyalty
Where does AI move the numbers in travel?
AI moves travel numbers in pricing, guest communication, reviews and back-office paperwork. Dynamic pricing and demand forecasting replace hourly manual rate changes; multilingual guest assistants grounded in property data answer the routine questions across email, chat and phone; review and feedback analysis turns thousands of comments into ranked issues; Document AI processes supplier invoices and contracts. Deloitte’s travel outlook (2024) notes that travellers increasingly research and book through digital channels and expect personalised service, which makes clean guest data the prerequisite for all of the above.
- Dynamic pricing and demand forecasting
- Multilingual guest assistants grounded in property data
- Review and feedback analysis
- Document AI for supplier invoices and contracts
Why Glanit for travel?
Because peak-load readiness and unreliable third-party APIs are our daily bread in retail and logistics, and travel has the same shape with more time zones. Over 16 years and 500+ projects we have built for the flash sale, the GDS timeout and the payment provider that goes quiet at midnight. Guest data is handled to GDPR (2016), including cross-border transfers to partners outside the EU, and payment flows are designed to PSD2 strong customer authentication. Start with a conversation or see cases.