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Algorithmic Revenue Management Solutions

July 18, 2022
Algorithmic Revenue Management Solutions

Client:

Customer is a leading low-cost carrier.

Problem Statement:

In these challenging times, the airline industry is under pressure to grow revenues & reduce costs post-pandemic, and revenue management is one of the key areas to focus on. The carrier wanted to increase its passenger load without compromising yield management to efficiently manage inventory utilization and improve network profitability.

Benefits Achieved:

91抖阴鈥檚 team implemented ML-driven solutions following analytical models to enable data-driven revenue management strategies. This resulted in a 7% improvement in yield, a 5% increase in monthly overbooking, and a 8% increase in last-minute bookings as compared to the previous year.

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