Use Case with OMNI: Reducing Fuel Expenses for Airlines.

Abdul (AB) Hassan
Jan 11 · 2 min read

Improving operational efficiency by forecasting fuel consumption.

What’s the problem?

Fuel consumption expense is a major challenge for the airline industry. According to the International Air Transport Association, the global airline industry’s fuel bill is estimated to have totalled $188 billion in 2019 (accounting for around 23.7% of operating expenses at an average price of $65.0/barrel Brent).

For this reason, most airlines attempt to improve their operational efficiency in order to stay competitive and increase revenue.

One way to improve operational efficiency is to increase the accuracy of fuel consumption forecasting but presently, forecasting process for Airlines in emerging markets like Nigeria are conducted through Excel spreadsheets.

However, this is extremely difficult, time-consuming, and disorganized process. Furthermore, excel’s accuracy is unsatisfactory since the capabilities are inadequate in terms of statistical and mathematical modeling.

The challenge and solution

Not having enough fuel at an airport is extremely costly and may result in disrupting flights but ordering excessive fuel than what an airline needs results in high inventory and storage costs.

By using Voyance OMNI with historical monthly consumption, an airline can build a forecasting model to forecast fuel consumption.

OMNI visual automated machine learning (example)

Request for OMNI demo today at https://voyancehq.com or reach out to ab@voyancehq.com for an onboarding call.

Abdul (AB) Hassan

Written by

trying my hardest

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