Skyscanner Scales Smarter Travel Search with the Databricks Data + AI Platform
Skyscanner, which handles 35 million searches and tens of billions of events daily, built bronze, silver and gold data layers on the Databricks Data + AI Platform to create shared Cornerstone Data Products powering multiple use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities to experiment safely and surface more relevant search results for travelers.
Overview
Skyscanner, which handles 35 million searches and tens of billions of events daily, built bronze, silver and gold data layers on the Databricks Data + AI Platform to create shared Cornerstone Data Products powering multiple use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities to experiment safely and surface more relevant search results for travelers.
This entry has 10 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Skyscanner handles 35 million searches and tens of billions of events every day, so a healthy unified data ecosystem is essential.
The solution
By building bronze, silver and gold layers on the Databricks Data + AI Platform, teams create shared Cornerstone Data Products that power many use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities.
Reported business value
With Unity Catalog governance and emerging agentic AI capabilities, Skyscanner can move faster, experiment safely and surface more relevant results for travelers everywhere.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other travel & hospitality entries in the register.
Wyndham Hotels & Resorts builds Agentic Enterprise with Salesforce Data 360 and Agentforce
Wyndham Hotels & Resorts, which supports approximately 8,400 properties, used Salesforce Data 360, MuleSoft, Informatica, and Agentforce Service to create Wyndham Reservations Guest 360, a unified real-time guest record giving service reps access to reservation history, loyalty status, preferences, and sentiment plus AI-powered recommendations. Wyndham also launched agentic self-service support for franchise owners through the Wyndham Community online owner portal. Results included a 5% increase in Wyndham Rewards enrollment, 21% faster service conversations year-over-year, 20% autonomous resolution of franchisee inquiries, and a 25% reduction in contact center call volume.
KLM deploys AI to reduce in-flight food waste
KLM uses a machine-learning model called TRAYS, developed with Kickstart AI, to predict how many booked passengers will actually board a flight so its Meals On Board System can calculate the exact number of meals needed. The prediction runs from 17 days before departure until 20 minutes before departure and has cut food waste by up to 63% based on the expected number of passengers per flight, saving more than 100,000 kg of meals a year across flights catered from Schiphol.
TMAP Mobility Powers Smarter, Safer Travel
TMAP Mobility, Korea's leading mobile navigation service with over 25 million subscribers and adoption in more than 95% of domestic vehicles, adopted the Databricks Platform to address data access and governance roadblocks that stalled AI-driven personalization efforts. Using Genie Space, non-data specialists can now explore and analyze data with natural language, and Unity Catalog provides granular permission management and column masking. As of September 2025, the analytics team receives 68% fewer simple data extraction requests, and approximately 48% of all employees can directly explore and utilize data. TMAP processes more than 7.3 billion mobility data points annually and used the Recommendation Engines Solution Accelerator to prototype and deploy scalable recommendation models faster.
Safari365 boosts internal efficiency 30% with Salesforce Agentforce AI agents
Safari365, a bespoke African safari travel company, deployed Salesforce Agentforce AI agents to automate low-value, repetitive tasks such as reconfirming supplier bookings and generating personalized 'day notes' for customer itineraries. The company started with internal-use agents built with human-in-the-loop oversight, iterating using the Agentforce Testing Center. Impact included a 30% increase in internal efficiency, quotes delivered in 30 minutes versus 2-3 manually generated per day previously, and a six-week time-to-value from signing to live deployment.
Was this helpful?
Your feedback helps us improve our use case database

