What can AI do for a logistics company?
In a transport or logistics company, AI takes over the recurring communication and document work: customer status questions, trip information for drivers and checks on freight documents. Driving, loading and planning stay with your people.
The questions on a planning desk look alike. "Where is my shipment?" "What time will the driver arrive?" "Has the consignment note been sent?" The answer is in your planning system or your track and trace, and someone has to look it up and pass it on.
There are two ways to handle that work with AI. You use an AI assistant such as ChatGPT or Claude yourself for emails, instructions and translations. Or you have an AI agent set up: a digital worker that is connected to your systems and handles messages on its own. What that is exactly is explained in what is an AI agent.
Which tasks does an AI agent take over in transport and logistics?
An AI agent takes over four kinds of tasks: customer status questions, messages to drivers, document checks and stock questions.
Customer status questions
A customer asks via WhatsApp or email where their shipment is. The agent looks up the order in your planning system and replies with the status and the expected time window. When the planning changes, the agent sends the customer a message with the new expected arrival time.
Needed: read access to order data and trip status. Human check: a request to move a delivery goes to the planner. The agent records the request and reports it; the planner decides.
More about this use case is in AI agent for customer service.
Messages to drivers
On the road, drivers mostly use WhatsApp or Telegram. The agent sends the trip information that is in your system: address, contact person, loading dock and special instructions. A driver who asks about loading restrictions at a customer gets the answer from your customer data. Drivers report damage with a photo and a short description, and the agent prepares the report for the office.
Needed: trip planning and customer instructions. Human check: changes to the planning come from the planner. The agent passes them on.
Checking freight documents
Consignment notes, packing lists and customs documents contain fixed fields. The agent reads a document, extracts the data and compares it with the order. If a field is missing or a quantity differs, the back office gets a notification before the trip departs.
Needed: the documents themselves and the order data. Human check: your company remains responsible for the content of the consignment note and of a customs declaration. An employee reviews every deviation the agent reports and spot-checks the documents without a notification.
How this works technically is explained in AI agent for document processing.
Stock questions in the warehouse
In a warehouse or distribution centre, the agent answers questions such as "How many pallets of product X are left?" with the level from your warehouse system. It confirms incoming deliveries to the supplier and records deviations such as damaged goods with a photo.
Needed: read access to stock levels. Human check: an employee books stock corrections.
What can you do yourself today with ChatGPT or Claude?
With a ChatGPT or Claude subscription you can do four tasks faster yourself today, without integrations:
- Draft customer emails about a delay, a missed delivery or a changed time window
- Translate messages for drivers and customers into German, English, French or Polish
- Write work instructions for loading, unloading and damage reports based on your own agreements
- Summarize long email threads into an overview of agreements and open points
The result depends on your instruction. Give the AI context about your company, your customers and your tone. What is a prompt explains how to build such an instruction. Leave out customer names and addresses when you use an account for which you have no data processing agreement.
What does the work look like with and without an AI agent?
The table shows who does what in each situation. It illustrates the way of working.
| Situation | Without AI agent | With AI agent |
|---|---|---|
| Customer asks where the delivery is | The planner looks up the order and calls back | The agent sends the status from the planning system |
| Driver has a question about the loading address | The driver calls the office | The agent sends the instructions that are in the system |
| A field on the consignment note is missing | Someone notices during review | The agent reports it before departure |
| Customer wants to move the delivery | Phone or email, the planner reschedules | The agent records the request, the planner decides |
| Registering a return | The customer emails, an employee processes it | The agent takes the registration with a photo |
Which data and integrations does an AI agent need?
An AI agent needs access to the data your planners already work with. The software itself stays as it is.
- Planning system: orders, trips and status
- Warehouse system: stock levels and incoming deliveries
- Track and trace: location and expected arrival time
- Your administration: customer data and invoice data
Start with read access. The agent can then give information and changes nothing in your planning. You add write access, for example to create a return, once the answers have been good for a while. Record per task when the agent answers on its own and when it passes the question on to an employee.
What should you watch out for with privacy and rules?
As a company you remain responsible for the data the agent uses and for the answers it gives.
Driver location data. Data from an on-board computer or tracking system is personal data. According to the Dutch Data Protection Authority (Autoriteit Persoonsgegevens), you need a legitimate interest to track vehicles and the tracking must be necessary. You inform your drivers in advance, and if your company has a works council, it has to consent. For systematic monitoring you first carry out a DPIA. Give an AI agent only the location data needed for the answer to the customer.
Data of customers and recipients. Names, addresses and phone numbers fall under the GDPR. Sign a data processing agreement with every party that processes this data for you. The agents AI Agent B.V. implements run on your own infrastructure, preferably with a European host. Read more in using AI in a GDPR-proof way.
Being clear about AI. The transparency rules of the EU AI Act have applied since 2 August 2026: people must know they are communicating with an AI system. Have the agent state that in the first message. The full rules are in the EU AI Act explained.
Frequently asked questions
Can drivers without technical knowledge work with an AI agent? Yes. The agent works via WhatsApp or Telegram, apps drivers already use. The driver sends a message and gets an answer based on the trip data in your planning system. No new app is needed for that.
Can an AI agent connect to our planning system? That depends on your system. The agent needs access to the data, for example through an API or an export. AI Agent B.V. builds the integration as custom work and starts with read access.
What happens when the AI agent does not know the answer? The agent answers with the data from your systems. If the answer is not there, it passes the question on to an employee. Per task you set when the agent answers on its own and when a person confirms.
Is AI also useful for B2B transport? Yes. Business customers ask the same status questions, often by email. The agent answers them with the order data from your planning system and passes unusual requests on to the planner.
What does AI cost for a logistics company? A 1-on-1 AI training costs from €449 excl. VAT. The implementation of an AI agent starts from €1,495 one-time, on invoice (as of October 2026). Read more about what an AI agent costs.
Using AI in your logistics company?
Curious what a digital worker can do for logistics companies in practice? Look at our custom AI agent or read what an AI agent costs. Want to build your own AI skills first? That is possible with a 1-on-1 AI training. Or schedule a no-obligation call.
