Personalizing travel at scale with OpenAI

Source: OpenAI Date: 2025-03-20 URL: https://openai.com/index/booking-com

Summary

Case study on Booking.com using OpenAI to personalize travel recommendations, search results, and customer interactions at scale. Booking.com processes hundreds of millions of searches and serves travelers globally; AI personalization covers hotel recommendations, destination suggestions, itinerary planning assistance, and customer service chatbots in multiple languages.

Implications

Platform/travel thread. Booking.com’s scale (100M+ properties, global user base) makes their AI deployment one of the largest consumer-facing personalization implementations in the OpenAI ecosystem. Travel personalization is a particularly interesting use case because it requires combining user preference modeling, real-time inventory data, and multi-turn dialogue — a multi-modal agentic challenge at consumer scale. The deployment also tests multilingual capabilities across dozens of languages.