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How the Use of Big Data in the Airline Industry Helps Improve Cost Management

Big data has been evolving many industries, including airlines. For some time now, many aircraft engine manufacturers have been analyzing data to assess maintenance needs or safety concerns. While the use of big data in the airline industry is not new, airlines have not been fully using the vast swaths of data at their disposal, especially when it comes to ground operations.

Big data has been evolving many industries, including airlines. For some time now, many aircraft engine manufacturers have been analyzing data to assess maintenance needs or safety concerns. While the use of big data in the airline industry is not new, airlines have not been fully using the vast swaths of data at their disposal, especially when it comes to ground operations.

Ground operations prove to be highly fragmented due to the number of ground support crews and third parties that need to work together, leading to inefficiencies and lost revenue. However, an effective Artificial Intelligence (AI) solution can analyze large amounts of data from a variety of different sources and utilize machine learning and deep learning to help airlines make decisions about which processes they need to optimize.

How Does Use of Big Data in the Airline Industry Improve Cost Management?

Eliminate Avoidable Disruptions

Airport traffic is increasing steadily, especially as COVID-19 vaccines roll out to various countries. To eliminate avoidable disruptions, it will be even more important to make better use of big data in the airline industry.  Leveraging data as a valuable resource through the use of AI will allow you to analyze your ground operations and pinpoint weaknesses.

Many point to the National Aviation System (NAS) as the root cause of disruptions. Due to its dated infrastructure, non-linear routings, and inefficiencies, the NAS does leave certain U.S. airports vulnerable to major delays. The NextGen initiative will overhaul NAS, create a more efficient airspace, and help alleviate preventable delays, but airlines will still need to optimize their ground handling.

An efficient airspace cannot make up for inefficient ground operations. If ground teams are not coordinated or ready to receive an aircraft, the flight will arrive late to a gate—even if it landed on time.

Reduce Baggage Loss

In 2019 alone, airlines lost 2.5 billion dollars due to mishandled bags. While many bags go missing because of customer error, luggage often goes missing due to issues with flight transfers. When avoidable disruptions cause flight delays, these delays not only affect revenue and customer satisfaction, but they delay baggage handling. Bags may simply not make it to connecting flights on time.

Improve Fuel Efficiency

Airlines spend a significant portion of their operational budgets on fuel. Airlines spend about 15-20% of their total budget on fuel. Saving just 1-2% on this expense every year can lead to massive savings.

An AI ground operations solution can alert an aircraft that ground assistance units are in place and that it is time to turn off the APU, reducing fuel burn and decreasing CO2 emissions.

Request a Demo and See Our AI in Action

Synaptic Aviation can collect vast amounts of data and provide airlines with unmatched smart big data analytics to help get flights out on time. Our AI solution can help prevent avoidable disruptions, uncoordinated ground teams, baggage handling delays, and unnecessary fuel burn for massive savings.

Ready to test our AI? Let Synaptic Aviation show you how simple and effective it can be to implement. Request a demo today at www.synapticaviation.com or contact us at 844-505-4496.

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