Lumo Case Study - Real-time predictions with OAG

Lumo’s story

With daily, constantly refreshed feeds of historical status and schedules data, Lumo identifies patterns in the aviation landscape and predicts which flights are most likely to be delayed. By understanding the likelihood and potential impact of flight delays when booking trips, travelers and travel managers get more choice in the routes, airlines and other services they use, which avoids disruption from the outset and delights both parties with an overall better experience.

Within a week of departure, Lumo forecasts flight delays based on weather patterns, air traffic congestion at airports, and flight paths.

The challenge

Flight delays cost the global economy more than $60B annually. That’s a lot of missed opportunity for travel organizations.

Anticipating delays and alerting stakeholders of potential itinerary problems requires Lumo to monitor and understand what is happening to every flight across the entire world. This tiered approach to analyzing routine flight disruption predictions requires constant and centralized access to the most reliable, comprehensive and up-to-date historical and real-time data insights.

The solution

Lumo partnered with OAG to access historical and real-time status and schedules data. With this on board, Lumo is the first to know about any potential flight disruptions and the likely downstream impact.

Lumo runs sophisticated algorithms based on this data to simulate air traffic, predict delays and pass that intelligence onto customers. The inputs Lumo analyzes depend on how far from scheduled departure time the prediction is being made.

Our number one priority is being accurate and quick about predictions. Internal models are only as good as the data that goes into them, which is why we rely heavily on OAG’s data insights. OAG’s platform is a dependable one-stop shop that tells us everything we need to know about the airspace. The better the data is, the better our predictions are, and the better we can serve customers.

Bala Chandran, Co-Founder and CEO of Lumo

The results

More than 25 percent of disruptions identified as high risk at least 12 hours prior to departure
Simulations monitor and update predictions for 500,000 flights every 15 minutes
10,000 hours of annual delay savings identified at a Fortune 500 company
Approx. 50 percent of major delays identified as high risk before the delay is announced by the airline
Airline schedule optimization identifies opportunities for improvement for on-time performance of up to 3 percentage points at no cost

With OAG’s partnership, Lumo enables the travel ecosystem to streamline operations and mitigate costs that come with disruption risks – delighting passengers with an overall better experience.

More information on Lumo can be found on their website.

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