Artificial Intelligence (AI) Applications in Aviation Sector

In the next few years, AI is expected to bring many improvements to the aerospace industry by reducing costs, shortening the design process, eliminating duplication, testing, optimization, support, production and to improve things. The development of AI can help the aviation and aerospace sector to improve their production methods. The aerospace industry, however, has limited adoption of AI approaches, mainly due to the lack of access to high-quality data, the preference for simple models over complex models, and the need for competent employees and partners to fulfill read it well. However, the right partner can make AI a transformative innovation that affects the productivity, efficiency, development and speed of the aerospace industry. The aviation sector is using machine learning, computer vision, robotics, and natural language processing to take advantage of AI. Forecasting, pattern recognition, scheduling, targeted advertising, and customer feedback analysis are some of the important benefits. Artificial Intelligence (AI) technology is greatly enhancing aviation and is having a major impact on the commercial aviation sector. The world’s top airlines are adopting AI and other cutting-edge technologies to provide personalized services and improve the customer experience. At the airport, self-service kiosks automate the security check process. Moreover, these can be classified as only the tip of the iceberg, there are many other applications that are highlighted below:

  1. Identification of the passenger

Efficiency will increase among land users due to security analysis, machine learning techniques, and biometric identification. Many US airports are using AI to identify potential hazards at busy airports. AI-enabled applications have the potential to speed up the passenger identification process.

  1. Bag check

Syntech ONE, an AI platform for baggage screening for multiple conveyor belts, has been installed at Japan’s Osaka Airport. Syntech One’s ability to detect potential hazards is enhanced by its compatibility with X-ray security systems. Security staff will be able to detect irregularities quickly and efficiently using automated bag checks which will greatly reduce the workload of security staff.

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  1. Creating products

The aviation sector often favors cheap and reliable aircraft parts to reduce costs wherever possible. To create such things, car manufacturers can combine production processes with AI algorithms. Iterative design is a process in which technologists or architects create complete products using design criteria such as inputs and constraints and characteristics such as materials, available assets, and defined budgets. . Advanced design programs can enable product designers to explore different design concepts when combined with AI software. Manufacturers can use this new material to create new products that are lighter and cheaper. So AI can help the airline to improve its design and production methods.

  1. Prices are strong for tickets

If you’ve ever bought a plane ticket, you know it’s a unique experience. Different prices may apply to the same flight depending on your travel booking tool. Departure time, destination, length of journey and number of tickets available affect the price. Ticket prices may vary from minute to minute. That’s because airlines use a practice known as dynamic pricing. It is a method to adjust the price to the highest level of profit based on the current market conditions. Powerful pricing algorithms use sophisticated techniques such as machine learning and big data analysis.

  1. Delay policy

Delays are common and are affected by various changes. Modern ML-based applications can help airlines and airports around the world predict delays and inform customers quickly. Customers will have more time to change their travel plans or make other arrangements if necessary, which will improve the UX (user experience) for the airline.

  1. Efficient use of fuel
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The aerospace industry keeps fuel prices in check, and even a small reduction in aviation fuel consumption can affect business profitability and sustainability.

The deployment of AI-supported devices can lead to a reduction in fuel consumption. For example, a French startup, Safety Line’s machine learning app, can help pilots improve their boarding position before each flight. The climb process uses the most fuel, so upgrading this level results in a large amount of money.

  1. Supply Chain Management works

The distribution network uses AI, which makes the company more efficient. Regular repairs and maintenance are easier to perform thanks to improved supply chain capabilities than manual matching. Because the repair date is known in advance, it saves money and reduces downtime. Automation of data collection allows for rapid improvements in supply chain management capabilities.

  1. Practice & Training

AI can be used to build flight training. AI simulations can be combined with interactive programming to provide pilots with a complete simulation environment. Simulators with cognitive capabilities can be used to collect and analyze academic data, such as biometrics, to create personalized training programs based on student academic performance. This can indicate that it is a strong house.

  1. Customer satisfaction

In commercial aviation, customer satisfaction and service quality are very important. AI is one way airlines can increase customer engagement and deliver first class customer care. Artificial Intelligence (AI) powered chatbots are automated systems that can provide real-time, human-like customer service. Online chat can help businesses by automating customer support. There are several ways to accomplish this, including:

  • Advice on how to help customers make the right and personalized purchase
  • AI-powered chatbots can provide quick and courteous support.
  • Auto help will always be available.
  • Customer relationships can turn out to be more productive.
  1. Management plan
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The world’s largest aircraft manufacturer, Airbus, is adopting AI applications to improve the reliability of their aircraft maintenance systems. A cloud-based tool called Skywise helps with valuable data storage. The port continues to collect and record large amounts of data, analyze it and store it on cloud servers. AI and predictive analytics are creating a process for airlines to choose the best strategy for booking flights.

Until now, AI and aircraft have been operated on the ground. Machine learning has been used to find patterns and anomalies in large volumes of data retrieved from aircraft and engines. The aviation sector has started its journey with AI; therefore, fully adopting AI will be challenging and may take time. However, today, technology is developing rapidly. For businesses to benefit from digital transformation, they must be fast, efficient, sustainable, and productive. Implementation of AI will help the travel and aviation sector. Service providers can achieve the gift of a personalized customer experience by using AI-powered chatbots, instant messaging apps and other intelligent tools.

Reference:

  • https://www.analyticssteps.com/blogs/8-applications-ai-aerospace-industry
  • https://aithority.com/predictive/ai-applications-in-aviation-and-travel-industry/#:~:text=The%20aviation%20industry%20leverages%20AI,to%20improve%20overall%20customer%20experience
  • https://addepto.com/blog/fly-to-the-sky-with-ai-how-is-artificial-intelligence-used-in-aviation/#
  • https://www.techopedia.com/the-role-of-artificial-intelligence-in-the-aviation-industry/2/33247


Amreen Bawa is a consultant at MarktechPost. Along with pursuing BA Hons in Social Sciences at Panjab University, Chandigarh, he is also a great scholar and writer, with a special interest in the application and breadth of intelligence in various areas of life.


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