Case Study: Heathrow Airport achieves faster, more accurate passenger forecasting with Databricks

Optimizing air travel with efficient airport flow

Heathrow Airport needed a faster, more accurate way to forecast passenger flow as it handled more than 82 million passengers and 460,000 flights a year. Relying on spreadsheets and siloed legacy tools caused delays, higher labor needs, cost overruns, and forecasting accuracy issues. Heathrow turned to Databricks and the Databricks Data Intelligence Platform to support its data and analytics transformation.

Databricks helped Heathrow process forecasting data in hours instead of weeks, modernizing a model that previously took two weeks and two people to manage. The result was reduced errors and costs, improved data processing, and stronger insights for future AI use cases. With Databricks, Heathrow also built a foundation for better governance, security, and ML model training to keep improving airport flow and customer satisfaction.

Heathrow Airport

Eduardo Teixeira Garrido Junior

Tactical Forecast Manager