Interview: Huy Dao, Director of Data and Machine Learning Platform, Booking.com

Why It Matters

The transformation equips Booking.com with a scalable, AI‑ready data foundation that accelerates product innovation and cost efficiency, giving it a competitive edge in the travel market. It also shows how integrated data platforms can drive revenue‑impacting experiences across complex, multi‑service journeys.

Key Takeaways

• Migrated Booking’s data stack to Snowflake cloud, no downtime
• Supports 1,500+ data users, petabytes, billions predictions daily
• Cut operational costs by 70% via platform optimization
• Launched first agentic AI for guest‑hotel communication
• Tripled data team size, emphasizing people‑centric leadership

Pulse Analysis

Booking.com’s recent data‑platform overhaul illustrates how legacy systems can be retired without disrupting a global travel business. By moving from an on‑premise Hadoop cluster to Snowflake’s cloud data warehouse, the company created the Booking Data Exchange—a unified repository that now serves more than 1,500 analysts, engineers, and product teams. The platform handles petabytes of structured and unstructured data and delivers billions of model predictions each day, providing a single source of truth for pricing, availability, and personalization. This migration also laid the groundwork for rapid AI experimentation across the organization.

With the Snowflake foundation in place, Booking.com has layered a sophisticated AI stack that includes Snowflake Intelligence, Cortex AI, and external generative‑AI services such as OpenAI, Amazon Bedrock, and Google Gemini. These tools enable the launch of agentic AI agents that automatically draft responses for hotel partners, cutting response times and improving accuracy. The same infrastructure powers the AI Trip Planner and other generative features that stitch together flights, hotels, and attractions into a seamless ‘connected trip.’ By exposing secure, governed data to product teams, the platform accelerates the delivery of AI‑driven customer experiences.

The operational impact of this data strategy is measurable: Booking.com reports a 70 % reduction in OPEX through smarter contractor procurement and platform optimization, while the data team has tripled in size to meet growing internal demand. These results highlight how a people‑first approach, combined with scalable cloud technology, can translate into both cost savings and revenue‑generating innovations. As travel firms race to personalize multi‑modal journeys, Booking.com’s integrated data‑and‑AI ecosystem sets a benchmark for the industry, showing that robust data foundations are essential for sustained competitive advantage.