15 Jul Artificial Intelligence in the Airline Industry: The Future of Customer Service.
Artificial intelligence has been around for a long time, but it was not until recently that it has become part of our natural language, we started to see its true potential.
There are many aspects of our everyday life where artificial intelligence is being used, and the airline industry is no exception.
In this blog post, we will discuss how AI can be used in customer service and what the future looks like for airlines with AI at their disposal!
The idea of artificial intelligence taking over our lives is a scary thought for many, but it may be time to get used to the idea. AI has already been responsible for a number of breakthroughs in fields such as medicine and manufacturing; now it’s ready to change the world again with the airline industry.
Artificial intelligence & airline customer service complement each other quite well.
There currently many AI-powered solutions which utilize virtual assistants and machine learning algorithms that can optimize existing processes.
In the Caribbean where digital transformation is of the utmost importance at this time, AI can help airlines to provide and improve customer satisfaction ratings through low-cost solutions. So let’s dive right in!
Why Should Airline Industries in the Caribbean adopt AI?
AI can help airlines to provide and improve customer satisfaction ratings through low-cost solutions.
Artificial intelligence is being used by major companies in the Caribbean (specifically, governments). This includes Barbados’ Prime Minister Mia Amor Mottley who has just ordered all public servants to use digital platforms for transactions.
Why shouldn’t industries in the Caribbean adopt AI? The rest of the world is moving full steam ahead.
This means that most people around the globe are being exposed to new technologies and different ways of life on an unprecedented scale. The growing access to information has led to what some have called “the age of curiosity.” We’re able to explore things we’ve never dreamed about before – like how our food gets made or why we sleep at night – without leaving our computer screens. It’s hard not to feel optimistic when you know that all over the world, we’re becoming smarter, better-informed citizens.
What is a ChatBot?
A chatbot is an automated text-based service that uses artificial intelligence to accomplish tasks. Chatbots allow airlines to manage this through automation by dividing work into manageable chunks that can be handled by AI.
When looking at the Caribbean and their customer service, it’s not uncommon for agents to be overwhelmed with a high volume of incoming requests.
In a region characterized by diasporic communities, migration and an expansive network of trade links, large amounts of airline traffic are expected.
A ticketing kiosk cannot be commonly found at most airports around the world.
A ticketing kiosk is a self-operated device that sells airline tickets to customers. It’s used for tasks such as ticket booking, checking in luggage and printing boarding passes.
In many regions, there are high volumes of human traffic which lead to long queues. These delays can be greatly improved if a ticketing kiosk is in use!
Artificial Intelligence Powered Autonomous vision-based navigation
Autonomous vision-based navigation is a new technology in the aviation industry.
Autonomous vision-based navigation uses sensors on an aircraft to help guide planes along their route without human intervention. This type of system can be installed on any commercial airline with no need for expensive upgrades or changes to the plane’s design and layout.
Once implemented, these systems will allow airlines to save money by reducing manpower needs as well as fuel usage due to less wasted time spent flying around airports waiting for take-off clearance.
In addition, autonomous vision-based navigation will reduce flight delays from inclement weather conditions like fog.
Although AI powered vision-based navigation is still burgeoning around the world and in the Caribbean, this will soon become the new normal at any international airport.
Predictive maintenance and Air Traffic Control will also be affected by Artificial Intelligence
Predictive maintenance is an application that identifies signs of wear or malfunction before they become serious problems.
This means less downtime for production lines, fewer accidents on highways, and more capacity at airports. Air traffic control systems are also being improved by artificial intelligence which will reduce wait times at airports while also reducing costs due to fuel consumption from planes circling waiting their turn to land.
With AI handling a significant portion of the workload, controllers are now able to focus their efforts on managing aircraft in time-critical situations such as airport emergencies or during bad weather.
This means that predictive maintenance can be done at a lower cost and air traffic control is safer than ever before.
AI Assisting Aircraft Maintenance
Airplanes are expensive to fly and maintain. It costs millions of dollars each year for the airlines, engine manufacturers, and aircraft leasing companies. It is not uncommon for a major airline to spend up to $4 million on fueling alone every day! Fortunately, AI can provide some assistance with maintaining these costly airplanes.
AI has been developed so that it can inspect parts of an airplane without human interaction by using sensors like cameras or laser scanners. The AI system then provides feedback about the condition of the part such as whether it needs maintenance or repair.
This type of technology will save time and money in aircraft maintenance because humans would be able to use their expertise more efficiently while still having access to data from the AI system when needed.
Imagine a future where aircraft maintenance has been revolutionized by the introduction of artificial intelligence and machine learning.
The AI, designed to help with routine tasks like replacing broken parts and performing scheduled inspections, is able to do this work without human supervision or input.
This frees up mechanics for more complex tasks that require higher levels of training and expertise while also reducing the risk of accidents on the ground.
Using Machine Learning to Analyze Flight Data
The data science team at a major airline has been using machine learning to analyze flight data in order to better understand the types of flights which are most likely to experience delays. The hope is that this information can be used by airlines, airports and air traffic controllers as they work together on reducing delay occurrences.
The team has seen some promising results so far: for example, they found that the probability of a flight being delayed increases when it experiences long tarmac times or long taxi-in times before takeoff, two factors that are outside their control but have an impact on customer service and operational efficiency.
Since implementing these findings into their operations, there’s been an improvement in customer satisfaction rates across the board!
Airlines can benefit from AI-powered customer service systems, by reducing the operational costs and increasing revenue.
Man- power in aviation has become a huge issue over the years, as airlines must employ a wide range of staff members for each aspect of the industry.
Ultimately, airlines want to please customers, avoid bad press on social media and overall create a lasting and positive customer experience.
The industry depends on flight revenue, but with the inclusion of new technology, digital revenue can become a real time profit maker in for aviation companies.
Using AI powered tools and systems which are fit with natural language responses can heighten the customer experience tenfold. Social media will be all in support for any airline that provides that quick and easy technological support at any international airport.
Self Service kiosks and chatboxes can furthermore create a customer experience which depends heavily on new technologies rather than human operations, making all processes smoother and more efficient.
Using AI in the airline industry does not mean future unemployment because of airlines becoming AI oriented.
There will always be a need for human support, agents and the maintenance of face-to-face customer experience and service.
But how do you manage that without overwhelming your workforce?
AI and machine learning will make all tasks easier – including providing better customer ratings which is what customers want most out of their interactions with airline brands!
Airlines should look into implementing chat bots as soon as possible if they haven’t already done so. This can be an excellent tool for limited human interaction especially since the advent of covid 19.
Training staff on the operations of such technologies won’t be a tedious task, in fact you will save more in the long run as a result of this investment.
Tasks that might have been handled by humans can now be managed by Artificial Intelligence since AI software is typically self-service and caters directly to travelers.
Reduced need for human oversight:
It’s not just customer service where AI has potential, but the entire airline industry in general – and this is great news!
Airlines are able to save on costs that would otherwise go towards hiring large numbers of staff or investing in expensive software updates.
This includes tasks such as booking flights, checking-in at airports, getting through security lines etcetera – all these things will become much less time consuming with chatbots handling them instead.
Additionally, a reduced need for human oversight means airlines could shift their focus from administration duties (which do not require creativity) to more creative work which improves efficiency across the board.
Once these ideas and terminologies become part of the Caribbean discourse and slips into our natural language, we will see more airlines using AI across the region, pushing the airline industry into the future in real time.