Let AI Plan a Multi-City Trip from India (Cheaply)
By Arjun Kapoor (Arjun Kapoor tracks error fares, mileage runs and award-chart sweet spots for Indian travellers. He moderates two Telegram fare-alert channels and has booked Europe round-trips at sub-₹25,000 four times in the last 24 months.) · Published · 13 min read
Multi-city trips are where people overpay the most — wrong order, wrong hubs, unnecessary backtracking. AI can figure out the cheapest flight sequence if you give it the right brief. Here's how.
Why multi-city routing is where most people leave money on the table
Planning a multi-city trip from India is genuinely hard. The order you visit cities in, which airports you use as your hub, whether you fly into one city and out of another — all of it affects the total fare significantly. Most travellers guess at the sequence or default to the most obvious routing. AI flight search can solve for the cheapest sequence if you describe the trip properly.
A concrete example: a trip covering London, Paris, and Amsterdam from Delhi. If you fly DEL-LHR, train to Paris, train to Amsterdam, then fly AMS-DEL, you avoid a backtrack and often save ₹8,000–₹15,000 over flying into London, flying London-Paris, Paris-Amsterdam, Amsterdam-Delhi. The AI can work this out in seconds. The traveller staring at three separate booking windows usually doesn't.
TL;DR — the multi-city planning brief that works
- Give the AI your cities, rough dates, and flexibility — not a fixed itinerary
- Ask it to suggest the cheapest flight order, not just price a route you've already decided
- Specify whether inter-city travel can be train/bus (often cheaper and faster in Europe/Japan)
- Ask about open-jaw options: fly into City A, out of City B — sometimes dramatically cheaper
- Verify each leg's live price before committing. AI saves on fare research, not on booking errors.
How to brief an AI tool for a multi-city trip
The key is giving the AI your constraints without a pre-decided itinerary. Here's the kind of brief that works well on FlightGPT:
"I want to visit Tokyo, Osaka, and Seoul from Mumbai. I have 18 days starting from mid-October, flexible by 3–4 days. I'd like to keep total flight costs under ₹80,000. Trains between Tokyo and Osaka are fine. What's the cheapest flight order and which hubs should I use?"
That brief gives the AI cities, dates, flexibility, a budget anchor, and tells it ground transport is acceptable between nearby cities. It can then suggest flying into Tokyo, taking the Shinkansen to Osaka, flying ICN-BOM or ICN-DEL, and price each international leg — giving you a real total to compare against a traditional round-trip.
If you give it a rigid sequence instead, it'll price that sequence. Give it your goals and let it suggest the order.
Open-jaw tickets — the most underused tool for multi-city trips
An open-jaw flight is where you fly into one city and out of another. DEL-PAR / LHR-DEL is an open jaw — you enter through Paris, exit through London. Airlines often price these at roughly the sum of two one-way tickets, but sometimes the combined fare is cheaper than a round-trip to one city plus a separate intra-Europe flight.
I used this for a three-city Europe trip a while back: flew DEL-BCN (Barcelona), trained to Paris, trained to London, flew LHR-DEL. The open-jaw was cheaper than DEL-LHR return plus a LHR-BCN-LHR round-trip by about ₹11,000. The train leg cost around €80. Net saving: significant.
Ask the AI specifically: "What's the cheapest open-jaw option where I fly into one of these cities and out of another?" Many people don't know to ask; they just default to a round-trip to one hub.
Getting the city order right (and why it matters so much)
On a geographic scale, this seems obvious: don't backtrack. But the cheapest flight prices don't always match the geographically logical order. Sometimes flying DEL-DXB-NYC, then NYC-CDG, then CDG-DEL is cheaper than the more logical DEL-CDG, CDG-NYC, NYC-DEL even though the first routing has you crossing the Atlantic twice.
This is where AI earns its keep. Rather than you working through permutations on a spreadsheet, describe the cities and ask: "What order of cities gives the lowest total flight cost, assuming I'm flexible on which I visit first?"
For India-specific multi-city trips (say, Rajasthan + Kerala + Andaman in one holiday), the same logic applies. Which to fly into and out of, and which to connect by short domestic hops — IndiGo and Air India Express have dense domestic networks — changes the math noticeably.
Domestic connectors within India: how to handle them
A multi-city itinerary that dips into India domestically deserves its own section. The key rule: book domestic India legs completely separately from your international ones. Airlines don't allow you to mix IndiGo domestic and, say, an Air India international itinerary under one PNR in most cases, and even when they do, the combined fare is usually worse than separate bookings.
The practical flow: book your international legs first (they're more date-sensitive and price-volatile), then add domestic segments 4–6 weeks out. IndiGo covers over 70 Indian cities, and Akasa Air is building out quickly in tier-2 routes. Air India Express is strong on southern-city pairs — BLR-CCU, HYD-MAA — where IndiGo is thinner.
If your multi-city includes both India stops and international ones, tell the AI tool your full itinerary and ask it to flag which legs should be booked together versus separately. Something like: "I'm flying Delhi-Dubai-Barcelona-Paris and then returning via London to Chennai, with a Jaipur domestic hop at the start — which of these should I book as one itinerary?" That's exactly the kind of tangled routing question that an AI handles well and a form-based OTA can't touch.
Budgeting a multi-city trip without losing your mind
The biggest mistake on multi-city trips is pricing only the international legs and forgetting the connectors. You need to budget for: long-haul flights, intra-regional flights or trains, airport transfers at each city, and buffer for one leg that runs late.
When I'm planning a trip like this, I use the AI to get the long-haul fares first, then separately check the regional connectors. For Europe, trains between major cities are often cheaper and faster than flying once you factor in airport time. For Southeast Asia, AirAsia and similar budget carriers make short hops like BKK-SGN or KUL-CGK very affordable — typically ₹3,000–₹6,000 one-way booked a few weeks out.
Intra-India legs on IndiGo or Akasa are usually the cheapest part of a domestic multi-city. Book those separately from the international legs — they're almost always cheaper that way than trying to connect them on a single international itinerary.
Timing: when to book each leg of a multi-city trip
The conventional wisdom is to book long-haul international flights 2–3 months out, and short-haul or domestic legs 3–6 weeks out. For multi-city trips, I'd adjust that: lock the international legs as soon as you're sure of the trip, because those prices are most volatile and the date options are more limited. Leave the regional connectors slightly later — they're easier to find and the price curve is flatter.
Festival periods change all of this. If your trip crosses Diwali, Christmas, or Eid, the domestic and short-haul legs can actually get more expensive than the international segments. Book early across the board in those windows.
Fares and availability shift constantly. Fares and fees change — check the live price before you book.
Bottom line
Multi-city trips are where smart planning pays off the most, because the complexity gives you more levers to pull. AI flight search is genuinely useful here — not for magic savings, but for quickly working through routing permutations that would take you hours with traditional tools.
Start with a free-form brief on FlightGPT: describe your cities, rough dates, flexibility, and any ground-transport options you're open to. Let it suggest the sequence. Then verify each leg before you book.
Also worth reading: how to phrase your AI flight search for the best results and comparing one-stop vs non-stop fares with AI.
Frequently asked questions
What is an open-jaw flight and is it worth it for multi-city trips?
An open-jaw flight lets you fly into one city and out of a different one. It's often priced close to a round-trip but can be cheaper than buying a round-trip plus a separate intra-regional flight. Very useful for Europe and Southeast Asia multi-city trips.
Can FlightGPT plan a multi-city itinerary?
Yes. You can describe your cities, rough dates, and constraints in plain English, and FlightGPT will suggest routing options and pricing. It works best when you give it flexibility on city order rather than a fixed sequence.
Is it cheaper to book multi-city flights as one itinerary or separately?
Depends on the route. For international long-haul, booking as one multi-city itinerary through an airline can be cheaper than separate bookings. For domestic India legs connected to international, booking separately almost always saves money.
How far in advance should I book a multi-city international trip from India?
Book long-haul international legs 2–3 months out for the best range of prices. Regional connectors can often be booked 3–6 weeks out. During festival or holiday peaks, book everything as early as possible — prices spike earlier.
What's the cheapest multi-city trip from India right now?
This changes constantly with fares and seasons. Search FlightGPT with your cities and flexible dates for a current view — there's no evergreen answer to this one.