Lumo is dependent on OAG's speed of delivery combined with excellent coverage to predict delays and proactively manage disruptions.

Founded in 2015 and based in Boston, Massachusetts, Lumo delivers detailed predictions on potential flight delays months, weeks, days and hours ahead of time, helping customers proactively deal with disruptions and avoid the costs and inconveniences that come with air travel disruptions. Lumo’s data-driven predictions enable the entire travel ecosystem to act on what’s impacting their operations and itineraries and turn potential operational risks into better outcomes for all.

Getting ahead requires staying in the know – reliable insights protect each phase of the journey.

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.


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.


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.


  • 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.

"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


Interested in one of our solutions? Request a free trial today and speak to an OAG representative to discuss your exact needs and requirements.

OAG has the most flexible frequency delivery capability in the market. Its fast and easy to use data solutions and APIs ensure flexible integration and enable technology providers to manage and control their own supply of air travel data – which maximizes efficiency, saves money and creates an unrivalled competitive advantage. OAG’s schedules and flight status data solutions have become the number one choice for technology providers, travel management companies and innovators.