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BetterForecast
Case Study

How Edinburgh Airport Achieved 95% Forecast Accuracy with Better Forecast

 

 
Airport

Edinburgh Airport (EDI)

Passengers

14,4 mill. passengers (2023)

Destinations

161 destinations

Client overview: Edinburgh Airport (EDI)

Edinburgh Airport (EDI) is Scotland’s busiest airport and a key international hub, handling over 14 million passengers annually. Located in the capital city, it connects travelers to over 160 destinations worldwide. With a strong commitment to innovation and operational efficiency, Edinburgh Airport continually invests in modern solutions to enhance passenger experience and streamline airport operations.

Airport operations forecasting passengers

Introduction to the collaboration with Edinburgh Airport:

Copenhagen Optimization participated in a competitive process for Edinburgh Airport (EDI) when selecting their new forecasting tool. As part of the competitive process, a forecast competition was carried out to evaluate the accuracy of the forecast and the time required to produce the forecast, among other things. The feedback from the EDI team was that Better Forecast delivered superior user experience and clearly delivered the highest accuracy among the competitors.

The Solution: Better Forecast

Following the competition, integrations to the EDI data warehouse were created, which ensures seamless and continuous updates of all relevant input to Better Forecast. EDI was able to reduce the time spend on forecasting significantly. This was primarily achieved by an innovative approach to automation and improvement to the forecast accuracy with a minimum need for manual adjustments.

After fully implementing Better Forecast, EDI also did a trial and procured Better Check-in. After experiencing the benefits of multiple modules in the Better Airport portfolio, EDI is currently trialing other modules as well.

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The project

The average daily
forecast accuracy increased
to over 95%.

Forecasting is now
independent
from the skills and knowledge of single employees.

100%
of the days are forecasted withing ±10%.

Significant reduction
in the need for manual work in the forecast process.

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