Spreadsheets took weeks to forecast demand. Now, models digest live data to predict flow in hours, letting staff prevent queues.
One of the world’s most connected airports manages over 82 million passengers and 460,000 flights annually, relying on complex data streams involving weather, traffic, and seasonal patterns.
Forecasting passenger volumes previously relied on siloed spreadsheets and manual processes that took two weeks to complete with a 30% margin of...
“Databricks enables Heathrow to understand future passenger volumes and plan accordingly, resulting in cost-effective operations and improved customer satisfaction.”
International aviation hub for passenger travel, cargo, and retail services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Agents chased scattered data for 83M flyers. AI now resolves routine FAQs and preps summaries for seamless human handoffs.
Staff reacted to weather delays as they unfolded. ML now predicts disruptions 12 hours early, letting teams prioritize interventions.
Manual plans couldn't optimize variable vehicle sizes. AI now predicts deck usage, guiding loading to add $2.6M in annual revenue.
Teams couldn't manually balance 50,000 daily price points. AI now automates rates in real-time, optimizing yield and occupancy.
Siloed data blocked insights. Now, AI analyzes sales to restructure menus, boosting client margins by €2 per dish.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.