Case Study: Lumo predicts flight delays and improves travel outcomes with OAG

LUMO predicts 500,000 flights every 15 minutes with OAG

Lumo, a company that predicts flight delays, faced the challenge of monitoring global air traffic to anticipate disruptions for its travel industry customers. This required access to the most reliable and up-to-date historical and real-time flight data to power its predictive algorithms and alert stakeholders to potential itinerary problems.

Lumo partnered with OAG to access its historical and real-time flight status and schedules data. Using this data, Lumo runs sophisticated algorithms to simulate traffic and predict delays. The results were significant: their system identifies more than 25% of high-risk disruptions 12 hours prior to departure and monitors 500,000 flights every 15 minutes. For one Fortune 500 company, Lumo identified approximately 10,000 hours of annual delay savings, enabling the travel ecosystem to mitigate costs and improve the passenger experience.

LUMO