Generative AI in Action:

1. Smart Itinerary Optimisation: An AI travel assistant could integrate with ride-sharing APIs to dynamically adjust itineraries based on real-time taxi availability and fares. Imagine suggesting alternative departure times or recommending nearby pick-up points to optimise travel time and cost.

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2. Personalised Route Recommendations: Beyond just suggesting a ride-sharing option, generative AI can take into account user preferences. For instance, if a traveller prioritises speed, the AI could generate a route with the quickest estimated arrival time based on available rides. If cost is the primary concern, the AI could generate a route highlighting the most affordable ride-sharing options.

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3. Multi-Modal Trip Planning: AI can go beyond just recommending ride-sharing. It could analyse real-time public transport schedules and fares, alongside ride-sharing options, to present travellers with the most efficient and cost-effective way to navigate a city, taking into account factors like walking distances and potential delays.

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By leveraging these data points and the power of generative AI, travel experiences can become more personalised, efficient and hassle-free for visitors.