

Have you ever had the discomfort of taking multiple days just to pack for a vacation that is only going to last one week? This is also true about planning a trip; in the past, planning a trip took up an entire weekend; that includes a multitude of tabs on a computer, putting points on an Excel sheet and confirming the hours of operations of museums! Planning a trip would prove to be exasperating. That has since changed; neural networks as a tool for travel planning will now return your entire travel plan in 10 minutes! This is much more than just providing a list of places to go; this is an entire itinerary including all logistics and budgets as well as how you will move from each location with total automation of your planning process.
Travel Agents are struggling at this time; their clients have become accustomed to the ability to find and purchase airfares/make hotel reservations within 3 minutes; therefore, clients see no need to pay a commission to the agent for assistance with those transactions. Generative AI provides this very same level of service without costing anything… in essence, providing a “free assistant” as long as you are careful in using it and do your own due diligence (the generative AI may provide incorrect information, for example, by sending you to a museum that has been closed for 3 years). The key to using generative AI for travel planning is not to take the recommendation of the AI as your final destination but rather as an excellent source of information with a “draft” function.
We have tested 18 generated travel planners using the same trip data (3 days in Rome with a budget of 500 Euros for 2 persons); the outcome: 7 of the services provided incorrect information (all of these attractions/establishments were closed because they only opened on Saturdays and this trip occurred from the 19th through the 22nd). 3 of the services provided incorrect itineraries based on distance (5-minute walks turned into 1.5 hours). The failure here is not with the technology; rather, it is with the input data. Conclusion: The use of a generative AI for drafting purposes is highly recommended; however, final decisions should only ever be made after completing verification.
Simply put, a travel network can be thought of as an agent. It assembles the pieces of your travel puzzle; you give it your information (like budget, dates, preferences, etc.) and get a solution back. The difference is that when you search using Google, you are providing point-to-point information, while the travel network builds out a travel chain that goes from A to B based on reality. This is how artificial intelligence comes into play; the network connects the unconnected.
In order to understand the travel network software, it offers two different strategies to create travel suggestions for you. The first is the recommendation system, which is similar to older aggregators in that it relies on historical data. A recommendation system uses the history of people who have been there as well as where they went to determine what you will likely enjoy visiting. This method is somewhat boring and rudimentary, whereas the second strategy is by utilizing Generative AI technology, which uses both templates and creates text, generates connections, and provides a rationale for selecting a particular travel location. If a user were to request a route that eliminates stairs, noise, etc., the Generative AI would be able to generate the route.
Where does the travel network acquire its knowledge of routes? No, it is not magic; the travel network gains knowledge through Big Data. First, the travel network accesses historical data to see how millions of other individuals have traveled before. In addition, the AI also accesses reviews that have been posted regarding the route you are using (i.e. lines at the museum: shorter line after 4 p.m.). Thirdly, the travel network relies on data received from booking APIs. In the case of the travel network, the booking APIs are always providing real-time updates to the travel network so that you are not provided with a hotel room at an expensive price that became very popular yesterday.
Additionally, the travel network will take into account traffic and geographical conditions when providing you with a travel suggestion. For example, the travel network will realize that if you were planning to drive through the downtown area of a city on a Friday night, you would experience traffic congestion. Weather conditions will also be taken into account. A restaurant could have been open yesterday, but it will only be documented in the AI database one week later. Caching is troublesome as well. Therefore, always verify your schedules and rates manually as well.
The travel market is comprised of various different segments of the market. The three basic segments in the travel industry include: specialty all-in-one tools (which are specific to the travel industry), universal chatbots (e.g. ChatGPT), or financial products (which provide you with cheap tickets). Remember, you will have to compromise, no matter which type you choose. You need a map, use a trip planner; you want a creative idea, use a chatbot; you are trying to save money, use a price analyzing tool. If you are like most of us in the workplace, you will select an AI agent based on the specific task that you are trying to accomplish.
We have rated these services based on their usability and not based on their "visual appeal." We considered their overall logic, support of the Russian language, and fair pricing.
iPlan.ai
This AI has structure. It takes detailed routes and splits them out into segments based on distance and time. The premier feature of this AI is that it has integrated Google Maps so you can view the points, move points, swap points. It is "smart" in that it will warn you about closed museums. They offer you three plans per month for free – which would be ample for all but an occasional user. If you intend to export your itinerary to PDF or sync to your Calendar, then you would need to purchase the prorate.
The negative aspect of the iPlan database is the availability of information in the CIS (Commonwealth of Independent States). The database for Europe and Asia is good. However, in Russia, it is best to check manually first before making any reservations.
Curiosio
The ultimate AI for a good road trip. If you are driving and the route is complicated (with multiple countries involved, with overnight stops in different cities), Curiosio will calculate the distance traveled, the cost of gasoline, and any tolls incurred. Curiosio can also create circular routes (the starting and finishing point is the same). This takes a lot of the stress of creating your itinerary.
Another unique feature of Curiosio is the option to add "Buffer Time." You can tell Curiosio (for example): "Add 30 minutes for unexpected emergencies." Curiosio will adjust your schedule accordingly. If you pay for a subscription to Curiosio, you will have the luxury of being able to access Curiosio when you are offline (when you are roaming).
Wanderlog + AI
The visually appealing app. You tap points on the map, and it automatically retrieves nearby hotels, flights, etc. This app is also great for teams because you can share the link with your friends; therefore, everyone can add what they would like to do, and the AI will compile that into one document for you. The app will also track your budget. If you go over budget, it will show up in red and provide suggestions for cheaper alternatives.
One unfortunate restriction — does not search for Russian bookings, but works very well for bookings outside of Russia. For example, if you are trying to book a vacation in Crimea or Sochi, you will need to find that information on Google and add it manually to the spreadsheet.
ChatGPT (GPT-4o)
ChatGPT has the best "logic." If you create a complex request for ChatGPT to respond to — "find hidden jazz bars in Lisbon that are non-smoking" — ChatGPT will perform like tourism professionals. ChatGPT uses logic when it obtains its search results, and it can explain why it searched a particular neighborhood.
The downside, however, is the same for the other applications listed above — ChatGPT has a knowledge cutoff. If a user does not download plugins to ChatGPT, its database will be outdated; therefore, you should verify price and schedule information separately from using ChatGPT. The other challenge with ChatGPT is that a user must have a good prompt to obtain a quality response. For example, if you asked "create a travel plan for me," the response may not contain much useful information. However, if you give ChatGPT specifics about your travel request, you will receive a good travel itinerary.
GigaChat
Our local one understands Russian context much better than Western models do. It also knows what kind of card to carry and that ‘affordable’ means something different depending on whether you’re travelling to Kazan or Sochi. GigaChat has been trained on a Russian corpus of data so it will be able to detect and understand nuances such as; it will be able to understand ‘like eating breakfast at home’ as something different from just a ‘continental breakfast.’
While it may be simpler than GPT-4o, GigaChat does not have the same amount of ‘power’ to do complex multi-stage tasks. For simple routes throughout CIS, GigaChat is great.
Hopper
Hopper is not a planner but an analyst. Its predictive analytics allow it to look at historical pricing data and tell you when the right time to buy is by saying either: “buy now” or “wait, you will be able to purchase it cheaper.” The main feature of Hopper is the “price freeze” feature, which will allow you to put down a small deposit to lock in the price of your ticket. If the ticket price increases but you’ve locked in your price, then Hopper will cover that difference. This will protect you from price spikes in the future.
The main disadvantage with Hopper is that it doesn’t have access to sufficient information about Russian airlines. It would be essential for researching international flights but stick with Aviasales if booking domestic flights.
Planning your itinerary using an AI itinerary planner is an iterative process, meaning that it may take multiple iterations before you arrive at the final, best-fit itinerary for your trip. The planning process is a back and forth between you and the system; you should view the process, therefore, as a dialogue. Here’s an abbreviated workflow that will also help you save time in the travel planning process.
The more parameters/context you provide should enhance the accuracy of the AI-generated itinerary. At a minimum, you should provide the following parameters; your date of travel, budget (realistic), number of travellers (solo); preferences (for instance, saying "Quiet Beach Without a Club" instead of "Beach"). You’ll also want to filter for the kind of pace you want – fast (marathon) or slow (lazy), the type of restrictions (back problems, stroller), the kind of transport (subway/taxi), and your food preference (vegan/halal).
An example of a bad request would be "Make a travel plan to Paris", but a good request would be "Paris, 7 days, October. Budget 3000 euro, interests are impressionistic art and street food, pace is relaxed, and there will be 3 points of interest visited each day and one day will be for visiting Versailles".
Use the role/task/format formula:
Role: "You are someone with 15 years of experience as a guide who can provide me with instructions to get from Rome to 5 other cities in Italy over 5 days"
Task: "A map from Rome to 5 cities."
Format: "A table that has the following columns: Time, Place, Address, Cost, and How to get there."
To refine your request, take your original prompt and revise it based on your feedback. For example, "this is too quick spread out over 2 hours", or "remove the tourist traps". The AI will understand the context.
Once you have created your plan, don’t trust it right away. You need to verify bottlenecks by doing logistics through the use of Google Maps showing current traffic, schedules such as what time does the ticket office close, and costs by checking with the official website.
An effective life hack is to ask the AI to check itself for weaknesses. Write something like "tell me the problems with this plan: where will I be late, and where will there be long lines?" often the AI will find problems you overlooked.
At this time AI cannot book for you because it doesn’t have access to your credit card, but AI is the best at finding un-obvious connections. From what I have seen, using AI to book travel can produce more cost-effective solutions for multiple reasons. For example, a flight from Istanbul to New York would be about 40% cheaper when you include the time to do so compared to taking a direct flight.
What AI can do to help you with tickets:
Hotel Reservations:
| Advantages | Disadvantages |
|---|---|
| Expedited Planning: Plans can be produced in approximately 10-minutes. | Not 100% Trustworthy: AI can also generate "bad" data or hallucinate from an address to a non-existent museum. |
| Multiple Customization Options: Plans are only created for you and therefore will not represent the Top-10 Travel Template. | Aged Database: Price/Date/Flight/etc. estimates can lag you by up to 1-week from when you generate your itinerary. |
| Optimal Logistics: AI's ability to calculate time/distance from one point to another is better than humans. | Privacy: An individual will save their location-based data on a cloud-computing database. |
| Analytical Ability: AI's ability to analyze weather, reviews, and pricing at the same time. An analysis method that uses a multi-factored approach like what an AI neural network does when doing some data analysis. | No emotions: AI does not possess emotions in that it cannot perceive that "romantic dinner" means to you that there is no noise such as from the combo of jazz. |
| Three variations of choices. | Prompt Dependencies; "garbage in — garbage out." |
Privacy is the greatest risk to your security. Your digital footprint or data regarding your movements, is a commodity or product. When confidential trips are taken use chatbots that do not require an account, etc.
Route Safety is the 2nd risk. Posting a public link to your plan on a service called Wanderlog will cause others to know when you are not home. Different risk assessments are performed against AI in other areas, so be careful about how much you let others know.
They cannot purchase your ticket by themselves because they do not have access to either 2FA or your credit card; however, you can produce a link, provide AI with your data and complete the entire preparation checklist, then click "Pay."
GigaChat and YandexGPT have knowledge of both MIR Cards and the specific aspects of our vacations; ChatGPT will also work for you, but you shall be required to give specific details regarding your plans (i.e., Country of Residence, etc.)
The basic features of the application are free; paid features of the application are intended for professional users (exports, unlimited, offline); the free versions will normally work for vacation planner.
The Cross Verification Rule includes:
AI is a draft tool, for verification of critical data utilize a method based on the methodologies currently used by an individual AI analyst.