AI for logistics · Forwarders, transport and dispatch

AI for logistics and freight forwarders: more calm in dispatch.

For forwarders and transport companies where requests, paperwork and questions from customers and drivers all arrive at once. I show you where AI takes load off your dispatch and how customer and driver data stay protected.

In dispatch, every minute counts, and requests, paperwork and status questions eat many of them. A dispatcher sits between phone, inbox and driver chat. AI can read, compare and prepare, so he gets back to planning.

Typical workflows

Where AI takes real work off your team.

EmailsPhoneCMRNotesTruckDriverone order,neatly captured
  1. 01

    Capture transport requests

    Pull the key data out of the emailed request: loading and unloading points, time windows, loading meters, weight, number of pallets, any note on dangerous goods. If something is missing, the question to the customer is already waiting.

    No more retyping from attachments.

  2. 02

    Prepare quotes

    Create a draft quote from the captured data and your own rates, in your house voice and in the customer’s language.

    Dispatch approves price and commitment.

  3. 03

    Status questions from customers

    Answer “Where is my shipment?” by email or phone, using the status from your TMS or telematics where an interface allows it. On the phone, it must be disclosed that an AI is speaking.

    A person takes over for delays or damage.

  4. 04

    Cross-check freight documents

    Compare the CMR consignment note, delivery note and proof of delivery with the order: quantity, consignee, date, and any reservations the consignee noted on the consignment note. Deviations are flagged.

    Sorted out before the invoice goes out.

  5. 05

    Messages to drivers and partners

    Translate loading instructions, ramp times and short-notice changes into the language of the driver or partner company. We decide together on fixed wording for what is important.

    How drivers confirm receipt, we settle beforehand.

  6. 06

    Pre-sort applications

    Order applications for drivers and dispatch by fixed criteria that we define together: license class, driver card, code 95, ADR training certificate, desired assignment.

    Your team decides whom to invite.

An example

The transport request at half past four

RequestAI capturesDraftApprovalDispatcher checksQuote sent
  1. Today

    A customer sends an email with an attachment: three loading points, deadline tomorrow morning. The dispatcher types the data into the TMS, notices the weight is missing, calls and reaches no one. The quote goes out the next morning, often too late.

  2. With AI

    The AI reads email and attachment, collects loading points, time windows, loading meters and pallet count, and notices the missing weight. The question to the customer and a draft quote based on your rates are ready while the request is still fresh.

  3. With a person

    The dispatcher checks price, vehicle and capacity and sends the quote. Whether the trip fits and what it costs is his decision.

Data protection and professional rules

Confidential stays confidential.

  • Customer and driver data

    Orders, addresses and driver data fall under the GDPR and do not belong in freely available AI services. The busical AI solutions run in German data centers, with a data processing agreement.

  • Location data kept minimal

    For status information, the status your system already keeps for the shipment is enough. No additional tracking of drivers is needed for that. Where a works council exists, it has a say in technical monitoring (Section 87(1) no. 6 of the German Works Constitution Act, BetrVG).

  • Applications

    Applicant data is used only for the hiring process and deleted afterward. Under the EU AI Act, AI that evaluates or selects applicants counts as high risk. So here it only sorts by fixed criteria, and a person makes the selection.

The legal review of each case belongs with your data protection officer or your professional chamber. I make sure the technology fits.

Limits

What the AI does not do.

  • The AI does not carry responsibility for dangerous goods. It helps check the UN number, class and details in the transport document, but responsibility stays with your appointed persons and the dangerous goods safety adviser.
  • No prices and no commitments to customers without approval from dispatch.
  • No intervention in route planning or vehicle control. The AI prepares data, planning happens in your TMS.

Whatever the AI is not sure about goes to a person. More on the approach and on fixed workflows without AI on the page AI in Business.

Experience and references

What I bring.

All references

I am not a dispatcher and not a dangerous goods safety adviser. I supported the forwarder Mösle in Leutkirch, which specializes in special transports and dangerous goods, with strategy, a portal for new employees and visibility in search engines. That was not an AI project, but I know the questions a forwarder deals with. I have already built warehouse management software with INFOCOM GmbH, and multilingual AI workflows at serviero.

Getting started

Start small, then build on it.

  1. 01

    Intro call

    30 minutes, free

    We find the workflow that costs your business the most time.

    Book an intro call
  2. 02

    AI Kickoff

    2 hours online, €490

    For management: what AI can do, shown on your own examples, followed by a written summary.

    About the AI Kickoff
  3. 03

    AI Training

    from 1 day

    Your team learns with examples from its own daily work, with a certificate of participation.

    About AI training

Questions about AI for logistics and freight forwarders

Short answers.

How does the AI know where a shipment is right now?

From the status your TMS or telematics already keeps, provided an interface allows it. The reply to the customer is built from that. No additional tracking of drivers is needed, and we use location data only as far as the answer requires it.

Does this work with our forwarding software?

That depends on the interfaces of your TMS, and we check that in the first step. Often it is enough to start at the inbox. How the captured data gets into the TMS, we decide together. Your TMS stays the lead system.

Can AI help with dangerous goods?

Yes, as a second pair of eyes. It can help compare the details in the transport document with the order and flag gaps or contradictions. What exactly is checked, we decide together. The checking and the responsibility under the dangerous goods regulations stay with your people.

Our drivers speak many languages. Does this really help?

Yes, especially for short-notice changes. AI can translate a message into the driver’s language. For safety notes and loading instructions we agree on fixed wording, and also on how drivers confirm important messages.

Is it worth it for a small forwarder?

Especially where two or three dispatchers do everything. For recurring processes, 60 to 80% less effort is achievable. We start with the process that ties up your dispatch the most, usually the transport requests or the status questions.

Let’s talk 30 minutes.

In the intro call, we find the workflow in your business that costs the most time. Free of charge, 30 minutes on Google Meet or in person in Wangen im Allgäu.

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