From Overwhelming to Organised
Not long ago, planning a holiday involved a chaotic dance between flight aggregators, hotel booking sites, food blogs, and map applications. For Indian travellers, this complexity is often multiplied by specific dietary needs, multi-generational family
considerations, and the desire for culturally specific experiences. The result is often exhaustion before the trip even begins. Artificial intelligence is stepping in to solve this very problem. Instead of users manually piecing together a trip, AI-powered platforms can process vast amounts of information in seconds, creating a cohesive plan that considers all variables at once. Recent data shows a significant shift, with 68% of Indian travellers indicating they are likely to use AI for their next trip, a massive jump from the one-third who already do. This isn't just about booking a flight; it's about handing over the logistical heavy lifting to a smart assistant.
Smarter Stays and Personalised Stays
Finding the right place to stay goes beyond just price and location. AI tools are learning to understand the 'vibe' of a trip. For instance, a family looking for a child-friendly hotel in Goa with vegetarian meal options can get recommendations that a solo backpacker would not. Platforms like OYO are using AI to provide budget-friendly hotel suggestions tailored to the Indian market. Similarly, other platforms can sift through millions of properties to match nuanced preferences, whether it's a hotel near a temple or a service apartment with a fully equipped kitchen for a long stay. By analysing past user behaviour and stated interests, these systems move beyond simple filters to offer genuinely personalised suggestions, ensuring the accommodation itself becomes a highlight of the trip, not just a place to sleep.
A Culinary Compass for Every Palate
For many Indians, food is a central part of the travel experience, but it can also be a source of anxiety. Finding pure vegetarian, Jain, or specific regional cuisine in an unfamiliar city can be challenging. AI is proving to be a powerful ally in this search. Travellers are increasingly using AI to ask for dining recommendations. Instead of just searching for 'Indian food', users can make highly specific queries like 'South Indian restaurants near me that are open late'. The technology can analyse menus, scan thousands of user reviews for keywords, and provide a curated list of options that meet precise dietary requirements. This capability transforms the food discovery process from a game of chance into a reliable, stress-free part of the itinerary.
Crafting the Perfect, Optimised Route
The true power of AI in travel planning shines in itinerary creation. Tools like TripHobo and TripVexa are designed to generate detailed, day-by-day plans from simple, natural language requests like "weekend getaway from Delhi under ₹15,000". These platforms don't just create a list of places; they build a logistical sequence. They can calculate travel times between attractions, consider opening and closing hours, and even suggest the most efficient order to visit sights, saving precious time and energy. Some can even offer real-time adjustments based on weather or traffic. This automated planning helps travellers discover hidden gems and craft complex, multi-city trips that would be incredibly time-consuming to organise manually.
The Human Touch Still Matters
Despite its immense capabilities, AI is not infallible. A significant risk is the phenomenon of 'hallucination', where an AI might confidently suggest a restaurant that closed years ago or a non-existent tourist attraction. It can also lack deep personalisation, failing to grasp the emotional 'mood' of a honeymoon or the specific needs of a multi-generational family trip. AI recommendations may feel restrictive or miss the local context that a human travel agent or a local friend would provide. Therefore, the wisest approach is to use AI as a powerful co-pilot rather than an autopilot. It's an excellent tool for research, organisation, and logistics, but its suggestions should always be verified, and the final decisions guided by human judgment and a healthy dose of spontaneity.
