The airline industry is sensitive to outside forces that are beyond its control. Weather, fuel prices, volcano eruptions, the economic situation – and of course pandemics such as COVID-19.
Costs are high, such as fuel, assets, and employees. Price sensitivity of passengers and high competition make it a challenge for airlines to be profitable. New players entering the travel market emphasize the need for airlines to spark customer loyalty and own the customer conversation. To survive, airlines must develop a retail approach with their customers; otherwise, internet giants such as Google, online travel agencies, Amazon, and Apple will instead control that customer conversation. Let’s now learn about the first airline industry business process: customer experience.
1. Customer Experience
Airlines need to focus on customer experience, personalizing the engagement, anticipating needs, and making offers that are situationally relevant. For example, at the time of booking, one might be more focused on price and not as interested in an upgrade as one might be when making one's way through a busy airport and given a special offer.
2. Airline Retailing
In the competitive situation airlines find themselves in, airlines are aiming to become retailers "in the sky". As we already discussed, selling ancillaries such as internet, extra luggage, or food, or selling partner services, is vital to increase overall profitability and attract customers to choose the airline itself to book their trip. Selling a hotel room or event ticket has a high margin as there are hardly any costs involved in doing so. However, the current systems and processes represent a technical challenge for airlines to be retailers.
These systems create numerous limitations: for example, let’s say a salesman and his family are traveling from Frankfurt to Melbourne via Singapore. The flight to Singapore is operated by Lufthansa, and the flight from Singapore to Melbourne is operated by the so-called interline partner Singapore Airlines. The salesman bought the ticket from Lufthansa. Since he has a business meeting in Singapore, his family will return to Frankfurt a few days before him. In the current system environment, it’s not possible for Lufthansa to sell seat upgrades or other services to him for the Singapore Airlines flight. Also, since he and his family have a different itinerary, he can't have the same booking as his family.
To enable true airline retailing, the processes and systems around the current outdated flight-centric airline distribution need a dramatic change. They need to become customer-centric, simple, and flexible – it’s one of the biggest disruptions in the airline industry. The International Air Transport Association (IATA), the trade association for airlines responsible for setting policies and standards in the industry, is active in helping the industry transition into a new retailing world by simplifying the business and defining new standards. One key standard is the New Distribution Capability (NDC) communication standard between airlines, aggregators, and travel agents that enables retailing through indirect channels. ONE Order meanwhile aims to streamline the booking process with a new simplified offer and order management, accounting, and settlement processes – huge changes that revolutionize the airline world and their ecosystem.
3. Operations and Maintenance
Now, let’s look at operations. On-time performance is an essential KPI for an airline and essential for customer satisfaction. An integrated view of airport operations enables airlines to reduce turnaround time. Automating the sequence of ground-handling services and airport operations allows the airline to directly influence the probability of an on-time departure. Intelligent operations combine machine-learning capabilities and Big Data solutions to enable well-orchestrated airport operations for an airline.
In maintenance, airlines combine traditional methods with the science of predictive maintenance, where sensor data is used to predict failures and optimize maintenance programs for maximum maintenance yield and aircraft availability. Airlines use machine learning and AI to develop more sophisticated, predictive, and condition-based maintenance.