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AutoML for airports
Predict a number of your passengers and bags for each flight in 3 simple steps
Why do I need pax flow forecasting?
Airport operating costs depend largely on the flow of passengers and baggage. At the same time, the flow is extremely uneven and depends on the season, day of the week, time and airlines. An accurate forecast will allow you to optimize your operating costs.
  • Optimize Flight Schedule
    Optimize your Flight Schedule to avoid unnecessary incidents
  • Plan & Optimize Airport Resources
    Counters, Staff, Vehicles, Infrastructure, Fuel, etc.
  • Estimate your spending
    Estimating expenses allows you to avoid unplanned expenses and reduce costs
  • Make "What If" analyze
    Close/open Counters, Attract new airlines, Make changes to Schedule,Open new routes, Change Gateways, and Change procedures.
How does it work?
4 simple steps to run ML for passenger prediction
4 Facts about our AutoML service
  • 3 Features
    • Passengers
    • Bags
    • Bags weight
  • High accuracy
    Accuracy of prediction is very high. Mean error is less than 5%.
  • Very Simple
    User just works with MS Excel XLS file.
    No knowledge of ML is needed.
  • 15 minutes
    is needed to get your 1st prediction
Features of prediction
What you can predict with this service
  • Passengers (all tiers)
  • Transfer passengers (coming soon)
  • Bags (Pro+ tier)
  • Fuel (coming soon)
  • Bags weight (Pro+ tier)
  • Flight delay (coming soon)
Accuracy of prediction compared to actual data
A couple words about accuracy

It totally depends on your history data.
More data you load - more accurate it becames.

Short term (1-2 months) accuracy typically is under 5%.
Long term (about 1 year) accuracy is about 5-10%, because it depends on macro economic factors.
Why Choose our Software services?
  • It's SIMPLE!
    You don't need to keep high qualified engineers to build high quality model. It can be done by current specialists.
  • It's FAST!
    It works at the speed of an plane.

    Get the 1st results in 1 hour!
  • A look into the future
    You see a loading of your terminal facilities for days and weeks in future.
  • Happy passengers and airlines
    You manage your airport proactively and provide the highest level of Quality
Who needs our services at the airport?
  • Operational team
    Streamline operations and enhance efficiency. Optimize the flight schedule.
  • Financial team
    Make informed financial decisions based on predictive analytics
  • Ground Handling team
    Optimize staff count for serving passengers and baggage.
  • Quality control team
    Improve service quality and customer satisfaction.
  • Commercial team
    Drive revenue growth through better resource allocation and passengers satisfaction.
  • IT team
    Enhance existing AODB & RMS systems through integration with our cloud AI&ML services.
Frequently Asked Questions
  • Question:
    What kind of specialist do we need to run it?
    Answer:
    We have made this AutoML service as simple as possible. Basic knowledge of Excel is enough to use it. Thus, any airport employee can start using this machine learning service.
  • Question:
    I have tried it, but accuracy is very low. What can I do?
    Answer:
    Please contact our technical support team. We will review your data files and will get some recommendations to improve prediction.
  • Question:
    What is about privacy of my data files?
    Answer:
    Your data will be stored in private cloud storage and will be available only for you. We don't use your data for anybody else. Model trained on your data will works with your data only.
  • Question:
    What technologies are under the hood?
    Answer:
    We use the CatBoost library for gradient boosting on decision trees.
    Before training the model, more than 30 features are added to the data tables.
  • Question:
    Can you add custom features to this service?
    Answer:
    Sure. Please contact our technical support team.
Request a demo
Lets make Data Driven Airport!
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Bulgaria, Burgas area
Email: info (at) aerodata.online