To fully harness the power of data and IA within the travel, tourism and transportation sectors, Florent Bernard explains that organizations need to invest in three technological building blocks: Data Clean Rooms, Customer Data Platforms (CDPs), and Consent Management Platforms.

Areas where AI has the potential to benefit the tourism industry include different use cases, such as:

1. Predictive maintenance: AI can predict component failures before they happen, so rail and air companies can take proactive measures and reduce downtime.

2. Flight route optimization: AI can help airlines balance between accelerating to avoid a costly delay or accepting a minor delay to conserve fuel.

3. Contrails: These vapor trails seen behind flying aircraft account for a third of aviation's carbon footprint. By adjusting altitudes based on atmospheric conditions, airlines can cut contrail formation in half while only slightly increasing fuel consumption.

Beyond operational efficiency, generative AI can improve customer travel with personalized travel suggestions based on users’ budget, travel preferences, and constraints. In addition, AI-powered virtual assistants can respond to customer queries in real-time, recommend activities, or even provide translation services.

“We’re moving towards a world where every aspect of travel will be hyper-personalized and optimized through AI,” he says. “The winners will be those who not only collect data but truly leverage it to enhance the customer experience and operational efficiency.”

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