A leading airline struggled with manual and outdated pricing systems, which limited its ability to optimize revenue per available seat (RASM) and adjust flight prices in real-time. Facing competition from low-cost carriers with more flexible pricing models, the airline needed a dynamic solution. Quicklizard implemented an AI-based pricing platform that synchronized real-time data, including flight schedules, destinations, and user behavior, providing optimal pricing recommendations across channels. After a 6-month trial, the airline increased both RASM and load factor, enhancing its overall profitability and efficiency.

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