The Key Use Cases of AI and Data Science in Airline Industry

Predictive analytics applied to fleet technical support is a fair approach, with unplanned maintenance accounting for approximately 30 percent of overall delay time.

Fremont, CA: Businesses are changing the way they communicate with their clients, make business decisions, and create workflows resulting from technological advancements. Organizations may take informed measures toward operational efficiency with real-time data access.

Analytics, equipment repair, customer support, and various other internal processes and activities can all be streamlined and automated using artificial intelligence and cognitive technology that make sense of data. As a result, AI innovations can help with a variety of aspects of airline operations management, such as:

Revenue management

The application of data and analytics to define how to market a product to those who need it at a fair cost, at the right time, and through the right channel is known as revenue management (RM).

It's focused on the premise that consumers have different perceptions of product value, so the price they're willing to pay for it varies depending on which consumer groups they belong to and where they buy.

To keep the airline competitive and customer-friendly, revenue management specialists use AI to identify destinations and change prices for particular markets, find efficient distribution channels, and manage seats.

Air safety and airplane maintenance

Airlines face a hefty price tag due to delays and cancellations, which include repair costs and reimbursement for passengers stranded in airports. To help handle data from aircraft health monitoring sensors, carriers use predictive maintenance solutions. These systems are usually compatible with both desktop and mobile devices, allowing technicians to access real-time and historical data from anywhere. Employees may spot issues pointing to potential malfunction and replace parts proactively if they have access to an aircraft's current technical condition through warnings, updates, and reports. Executives and team leaders, in turn, may use dashboards to get updates on maintenance activities, tool and component inventory, and expenses.

An airline can save money on expedited parts transportation, overtime pay for crews, and unplanned repairs using predictive maintenance. If a technical issue arose, maintenance teams would be able to react more quickly, thanks to workflow organization tools.

Messaging automation

Travelers become anxious when there is a disturbance, such as a flight delay or luggage loss. Customers are less likely to select this airline for their next trip if they do not receive a prompt response or clarification of an issue from an airline representative. The pace at which you respond to customer inquiries is just as important as the steps you take to resolve a problem.

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