For consumers, the bigger question is whether AI can also help bring down the overall cost of a trip.
The answer can be yes, but only if travellers look beyond the cheapest price displayed by an AI tool. Hidden charges, cancellation rules, travel time, location and even the reliability of an itinerary can change the actual value of a booking.
Here are seven money checks to make before booking a trip planned or recommended by AI.
Check the total cost, not just the cheapest price
An AI tool can compare multiple combinations of flights, hotels, transport and activities much faster than a traveller manually checking different platforms.
Arvind Kharra, Founder & CEO, Tech Master, a travel technology company, said AI can help travellers compare the overall cost of different combinations rather than looking at individual prices in isolation.
A cheaper hotel, for instance, may be located farther from the main attractions, increasing daily transportation costs. A cheaper flight may also involve additional baggage or transfer expenses.
It is better to ask AI tool to calculate the estimated all-in cost of the trip, including accommodation, transport, baggage, transfers and activities.
Akansha Agarwal, Co-Founder and CMO, Int2Cruises, Asia’s first cruise-focused online travel agency, said AI can make travel planning more value-driven by helping consumers compare options across multiple parameters rather than focusing only on price.
In cruises, for instance, travellers also need to consider what is included in the fare, the duration, destinations, onboard experiences and dining options. AI can help assess these factors against a traveller’s budget and preferences, she said.
Look for costs that are easy to miss
The headline price may not be the final amount you pay.
Baggage charges, cancellation fees, airport transfers, local transportation and other secondary expenses can materially change the cost of a holiday.
Kharra said AI can potentially identify these secondary costs and help consumers compare the effective cost of different options.
For Indian travellers, this can be particularly useful because travel planning often involves several platforms and fragmented pricing.
Compare flexibility against the upfront saving
The lowest-priced option may come with restrictive cancellation or modification rules.
Rajnish Kumar, Co-founder & Group Co-CEO, ixigo, an AI-first travel technology company, said AI can help travellers evaluate alternatives based on their specific requirements rather than simply presenting a list of prices.
He cited the example of an 80-year-old traveller who wanted to avoid a long layover on a Mumbai-Berlin journey. TARA identified alternative itineraries with shorter connections, explained rescheduling charges and helped facilitate a rebooking.
The example also highlights an important personal-finance point: the cheapest option may not always be the best-value option.
Check whether the itinerary works in the real world
An AI-generated itinerary may look efficient on paper but still be impractical.
Yeishan Goel, Group CEO, Travel & Hospitality Representation Services, said he has seen clients arrive with AI-generated itineraries involving unrealistic routes, inaccurate travel times or recommendations that did not work on the ground.
Goel, who also owns Himalayan Echoes, a luxury travel business focused on the Himalayas, said AI can process large amounts of information but does not necessarily replace local knowledge and judgement.
Remember that hotel prices can change with demand
AI is not only being used by travellers. Hotels and hostels are also using technology to manage their own businesses.
Pranav Dangi, Founder and CEO, The Hosteller, a self-operated chain of backpacker hostels, said the company uses predictive modelling for dynamic pricing, inventory management, competitor analysis and travel trends. It also uses demand forecasting to plan staffing across properties.
For consumers, this means AI-driven pricing and demand management could influence the price and availability of accommodation.
So, if your dates are flexible, compare prices across multiple dates rather than assuming the first AI-recommended rate is the best available price.
Ask AI to optimise the budget, not simply find a discount
The biggest potential benefit of AI may be its ability to compare different combinations.
A traveller with a ₹50,000 budget, for example, could ask an AI tool whether travelling a day earlier, staying in another neighbourhood or replacing some cab journeys with public transport would reduce the total cost.
Kharra said the larger opportunity is budget optimisation rather than discount hunting.
Agarwal said AI can also reduce the effort involved in researching complex travel categories. Int2Cruises has introduced an AI-powered conversational cruise search that allows users to search for cruise holidays through text and voice. The platform scans more than 50,000 sailings to surface options based on a traveller’s stated preferences, she said.
The same principle extends beyond travel bookings.
AI and automation are being used by hospitality and food businesses to improve operational efficiency.
Ananth Narayan, Bengaluru Chapter Head, National Restaurant Association of India (NRAI), and Founder, JustBLR, said restaurants are using AI and automation for areas such as demand forecasting, inventory planning and kitchen operations.
At JustBLR, Narayan said an AI-driven kitchen ecosystem has reduced monthly energy costs from nearly ₹2 lakh on LPG to around ₹50,000 on electricity. The company also reported a reduction in labour costs from about 44% to 18%.
Such efficiency gains do not automatically mean lower prices for customers, but they show how businesses are using technology to control operating costs.
Treat AI’s recommendation as a starting point
AI can make travel planning faster, but it should not replace basic financial checks.
Rajnish Kumar of ixigo said travellers are using AI for tasks ranging from destination discovery and budget-based planning to post-booking assistance. According to ixigo, its TARA assistant resolves more than 81% of voice queries and over 92% of chat queries end-to-end without human intervention.
At the same time, Goel’s experience highlights why travellers should continue to verify important recommendations independently.
The technology can narrow down choices, but the final decision still involves factors that may not be fully captured by an AI system, including personal priorities, changing prices, flexibility and conditions on the ground.
