Training for transport
AI training in transport and logistics
We prepare training for forwarders, dispatchers and settlement employees around tasks selected with the team leader. These may include responses to transportation inquiries, forwarding a case to the next shift, or comparing data from documents. Participants work in a tool approved by the company, check their own results and receive comments from the instructor. The price of Syntalith training starts from €1,150 net per day; the program, number of groups and organization of classes require agreement.
- net per day of closed training for the team
- from €1,150
- people in one training group
- up to 15
- after this time, we measure the effect on the same tasks
- 30 days
- conversation with an engineer and a written plan within 2 business days
- €0
or call+48 888 78 48 78WhatsAppMon–Fri 9:00–17:00 CET
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Statistics
How much does AI training cost for a transport company and when does it pay off?
Short answer
AI training for a transport company costs from €1,150 net per day. In our Polish cost example, a PLN 4,900 training fee pays back in 2.6 months: 10 people save an hour a week, and after the licenses they have PLN 1,905 left per month. Dispatchers and forwarders practice working with orders, transport documents and correspondence with carriers. We measure task time before the training and after 30 days.
20,2%
According to the Central Statistical Office (2025), Polish carriers performed 20.2% of road transport work in the European Union, the most out of 27 countries.
Source: Central Statistical Office, Transport – business results in 2025. (2025) ↗
70,9%
According to Eurostat (2025), 70.9% of companies in the EU that have considered AI but are not using it cited a lack of knowledge within the team as the reason.
62%
According to ESET and DAGMA (2026), 62% of people working with computers use AI at work.
Source: ESET and DAGMA, Cyberportrait of Polish business (2026) ↗
Figures checked: 22 October 2026
Scope step by step
Select tasks for participants
A freight forwarder preparing a response to an inquiry needs different exercises than someone compiling documents for settlement. Therefore, before the training, we select tasks for the roles present in the group. For freight forwarders, the program can be based on extracting conditions from correspondence and preparing questions about missing data. For dispatchers, it would be useful to recreate current agreements and describe open issues for the next shift.
The settlement team can work on comparing read fields with the document and marking discrepancies to be explained. The goal of such an exercise is the ability to check the result. The decision to use the document is made by the employee according to the company's rules. During the session, there is no need to connect the tool with the accounting system or TMS.
Newcomers need time to prepare the first instruction, add allowed material, and improve the response. With people who already use ChatGPT or Claude, we can move on to more complex cases: later changes in correspondence conditions or conflicting data in attachments. The level of participants is determined before proposing the program.
Exercise: What is missing from the response to the inquiry
A sample training material may include a fictional email with the loading location, date, and cargo weight, but without pallet dimensions. The participant prepares a data summary for the freight forwarder and a question to the client with the help of AI. They check whether the response includes the dimensions the sender did not provide, and whether the tool correctly transferred the date.
The instructor discusses a specific part of the work and asks for a correction. Then the participant receives a further message that changes the loading date. They update the summary and point out the message that is the basis for the change. This allows us to see whether the participant can independently return to the source, even when the previous response was correct.
The exercise can be expanded to include correspondence in the language used by the team. Then the control also includes whether the translation preserves the conditions of the inquiry. The valuation of the transport and acceptance of the order remain outside this example. A separate article describes working with AI when passing on changes from dispatchers.
Preparing the company for the session
Before the training, we determine the available accounts and the rules for working with materials. If the company is just choosing a tool, it can order ChatGPT preparation for the team or Claude implementation earlier. Configuration of the environment and purchase of licenses are a separate scope. Exercises can start with fictional data, without connecting the company's email.
The supervisor indicates the tasks and the people who will participate in the session. Together, we determine whether we can use appropriately prepared company materials. Before sharing correspondence, it is necessary to agree on which information can reach the selected tool and who is responsible for preparing the files.
During the collaborative work, time is needed for participants to complete the exercise without simultaneously handling deliveries. Repeating the training for the next shift, shorter meetings, and discussion of work after the session require consideration in the order. We do not assume that one day will cover all roles and all shifts.
How to assess whether the team can work independently
At the end of the agreed program, it is worth allocating time for a new matter that the instructor has not previously solved with the group. The participant should prepare a response, point out the sources of important data, and name the information that is still missing. When assessing the response, we primarily check its consistency with the current agreements in the correspondence.
In further work, the supervisor may check a sample of similar tasks: whether employees return to source messages, correct added details, and know when to pass the matter for clarification. Such observation will help choose the topic of the next exercises.
If after the training it is still necessary to manually copy data between the box and TMS, it is possible to consider separately automating work in transport. Training and integration solve different parts of this task; the scope of system building is determined separately.
Ordering the training
Write which roles you want to train, in which languages the team works, and which tools they already use. It will be helpful to describe the task where it is currently difficult to assess the AI response. Based on this, we will discuss the program, group organization, and pricing. The initial rate is €1,150 net per day, according to the price list. Contact us to determine the scope for your company.
How much does the training cost and when does it pay off
The training starts at €1,150 net per day. We calculate the return on one process, without assumptions about the entire company.
- Time saved
- 43.3 hours/month
- Value of time
- 2,877 PLN
- ChatGPT Business licenses
- 250 USD (972 PLN)
- Remaining after licenses
- 1,905 PLN/month
Return on training for 4,900 PLN
2.6 months
10 people × 1 hour weekly × 4.33 weeks = 43.3 hours. We cautiously assume an hour saved weekly per person and check it by measuring the time of tasks before and after 30 days. An hour of work at 66.45 PLN is the average wage according to GUS from September 2026, including employer costs. Licenses: ChatGPT Business Standard 25 USD per place monthly, exchange rate NBP 3.8889 PLN. If the team already has licenses, the return is faster.
According to a study published in Science (2023), the time for writing tasks with ChatGPT has decreased by 40%. Therefore, the scenario adopts a cautious weekly hour and checks it by measurement.
„I already use AI.”
Your people too. Just no rules.
From our conversations with companies
5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.
In ESET survey (2026)
1 na 10 admits this in the survey.
Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.
Don't worry, we won't tell anyone :)
What do we see in companies that "already use"
- Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
- Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
- Lack of company standards: everyone writes instructions in their own way, no one shares what works.
- No rules for personal data, GDPR and company secrets.
- No limits and no visibility: no one knows who uses AI, how much and for what.
62% Polish employees use AI at work · 27% companies have written rules for working with AI.
Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗
ChatGPT or Claude space review
Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.
€450 net
Training on your team's tasks, from €1,150 net per day.See range and price →
Scope and price
From €1,150 net per day
The program is tailored to the participants' roles, experience and shift work.
1:1 course participants
People we've trained one-on-one.

Kuba Koziej
CEO and co-founder, MoreGrowth
View the original training review on LinkedIn ↗„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”
„A large stream of documents passes my desk every week. I now review, draft and prepare them with Claude in a fraction of the time, and research that used to eat an afternoon takes minutes. It is wired into the services I already work in, so the documents reach me instead of me hunting for them.”
Hlib UtkinPublic administration„I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.”
Ivan ChepurinSenior Software Engineer, Immutable„I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.”
Oleksandr UsykCo-founder & Art director, jakotako.design
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We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.
We will accept 3 more companies by the end of the year.
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