Artificial Intelligence and Facilitating Airline Management to Improve Productivity
Artificial intelligence can significantly improve productivity and managerial effectiveness in the airline industry. Its main applications include predictive aircraft maintenance, demand forecasting, revenue management, dynamic pricing, crew and flight scheduling, disruption management, and passenger-service improvement. For Iranian airlines, AI has particular importance because of aging aircraft, spare-parts constraints, high operating costs, and limited access to some international technologies and services. In comparison, major Gulf and Turkish airlines, such as Emirates and Turkish Airlines, have developed more advanced capabilities in data analytics, predictive maintenance, digital transformation, and AI-based decision-making. The main challenge for Iranian airlines is not only access to technology but also fragmented data, limited integration between information systems, and lower digital maturity. Therefore, Iranian airlines should adopt a gradual and cost-effective AI strategy rather than launching large-scale projects immediately. Priority initiatives should include predictive maintenance and spare-parts forecasting, AI-based demand and revenue management, and intelligent operational dashboards. A phased implementation based on reliable data and measurable performance indicators can help Iranian airlines reduce costs, improve fleet availability, increase operational efficiency, and enhance management decision-making.
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