Corporate Blog

Using deep learning models to reduce crew standby costs in airline operations

Using deep learning models to reduce crew standby costs in airline operations
Airlines factor standby crew in their planning as a buffer in case unexpected events cause deviations to operational plans, such as disruptions or last-minute crew roster changes. In these situations, standby buffering is a critical part of crew planning to safeguard the passenger experience and brand reputation. Additionally, the cost of reassigning crews to flights is significantly higher without standby buffers. Balancing crew standbys with actual utilization on the day of operations is challenging. Our analysis indicates that, on average, only 30%-40% of crew standbys are used, representin...
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Enabling Digital Transformation of Customer Service

Transforming Custome Service into Digital Customer Service
Digital transformation in travel industry is an understatement. If you are not on the digital wave yet, you have already missed the bus. For a lot of young travellers, travel is an extension of digital experience that engulfs their everyday life. From entertainment to food, fashion to shopping, millennials want an instantaneous digital experience. Travel is fast becoming part of a similar expectation and in a short time, the expectation has skyrocketed. They want to get all inputs from their influencers in real-time, see and experience as much as they can, chat and talk to people who have expe...
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