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AI in operations

AI reads emails, the dispatcher approves

AI is used where reading is needed: emails, consignment notes and invoices. It suggests — the dispatcher approves. Nothing becomes final automatically.

Proof of concept on your own data, at a fixed price

Illustration: a fictional booking email on the left and the draft order filled in by AI on the right, with buttons to Approve and Edit.

Draft ready for approval

From: booking@kunde-a.eksempel

Subject: Collection Thursday

Hi. Can you collect 6 EUR-pallets, approx. 2,100 kg from our premises at Industrivej 12, Vejle Thursday 08:00–10:00 and deliver to Havnegade 4, Odense the same day?

Attached: fragtbrev.pdf

Draft order

Awaiting dispatcher

Customer

Customer A

Sender

Collection

Industrivej 12, Vejle · Thu 08:00–10:00

Mail

Delivery

Havnegade 4, Odense · Thu

Mail

Freight

6 EUR-pallets · 2,100 kg

Consignment note

Service

Part load, zone 3

Customer agreement

Nothing becomes final until the dispatcher approves

Example with fictional data

Where AI helps today

Fra: booking@kunde-a.dk

Emne: Afhentning torsdag

Hej, kan I hente 4 paller i Roskilde torsdag formiddag og levere i Køge inden kl. 14? Vedhæftet fragtbrev.

fragtbrev.pdf

Ordreforslag

CustomerCustomer ACertain
Collection4000 RoskildeCertain
Delivery4600 Køge, before 14:00Certain
Freight4 palletsCheck
ApproveEdit
Example with fictional data

AI suggests. The dispatcher approves or edits.

AI also helps with planning

Suggestions for routes, vehicles and groupage. The dispatcher always decides.

  • Route optimisation

    The optimal sequence of stops is calculated based on time windows and addresses.

  • Estimated arrival

    Arrival time calculated based on position and traffic.

  • Vehicle and driver suggestions

    Who fits the trip based on certifications, available time and capacity.

  • Consolidated transport

    Suggestions for tasks in the freight pool that can be combined.

  • Deviation alerts

    Notification when a trip is delayed or missing proof of delivery.

Built to be explainable

The AI features are built with the requirements of the EU AI Act in mind.

  • Human-in-the-loop

    Each suggestion must be approved or adjusted by an employee.

  • Logging

    Every suggestion and decision is logged so the process can be audited afterwards.

  • Data in the EU

    Data is stored and processed within the EU.

  • Role-based access

    Only roles that require data have access to it.

See email-to-order on your own emails

Send us a sample of your booking emails, and we will show you the suggestions before you make any decisions.

See email-to-order on your own emails