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AI automation for logistics and freight forwarding

A European road forwarder gets quote requests by email in German, Polish, Italian and English, all day. Whoever answers first usually wins the load, so reps retype postcodes, loading meters and ADR classes into the TMS and Timocom instead of selling. Behind them, dispatch runs on a spreadsheet, CMRs and delivery notes arrive as phone photos, and the warehouse side bills storage from month-end exports.

Most AI built for freight is American. Augment, which raised an $85M Series A and integrates with McLeod PowerBroker, HappyRobot and Vooma serve US truckload brokers who price against DAT. Forwarders on CargoWise, Soloplan CarLo, Winsped or Transporeon, writing to carriers in five languages, are served far less well. That gap is where a freight quote desk that prices by your own margin rules, customs declaration drafting signed off by a licensed broker, and 3PL billing built from warehouse events earn their keep.

Eurostat's latest survey adds context: of EU enterprises that use AI, only about 6% apply it to logistics, the lowest share of any business function it measured. The software is old, the documents are messy and much of it has no API, which is exactly the integration work a custom build is for.

What I would build for logistics and freight

The retyping, chasing and billing behind every load

  • The spot quote race

    Every request needs origin, destination, dates, loading meters or pallets, weight, ADR and temperature pulled out of free text. The model extracts; margin floors, fuel surcharges and key-account rules stay in code, and outlier lanes go to a rep.

  • Documents that arrive as photos

    CMRs, delivery notes and proofs of delivery come in rotated, stamped and handwritten. PDF data extraction with per-field confidence sends only the unsure fields to a person, shown next to the image region they came from.

  • Billable events nobody billed

    Storage per pallet per week, pick and pack, relabeling and returns handling go unbilled when rate cards live in contracts and invoices are rebuilt from WMS exports. Computing them from warehouse events, with an explanation per line, closes the leak and shortens disputes.

  • Portals and green screens

    Shipping-line portals, customs systems and old dispatch software rarely offer an API. Automating a system without an API means computer use for the last mile, credentials in a vault and a person approving before anything is submitted.

What stays with a person, and what to buy

  • Customs signatures

    A licensed broker signs every declaration. The system cross-checks invoice, packing list and bill of lading and suggests tariff codes with its reasoning; sanctions and restricted-goods hits always go to a person.

  • New carriers and changed bank details

    A new subcontractor, or an email announcing a changed IBAN, is checked against the freight exchange profile, insurance documents and a known phone number, and a person approves. Fake-carrier and payment fraud cost too much to leave to a score.

  • US voice and check calls

    For US brokers, HappyRobot, Augment and Vooma already answer carrier calls and run check calls. Buy them; a custom build there rarely beats a well-funded product.

  • Key accounts and rate floors

    Quotes for key accounts, and anything below the lane's floor, are drafted for a rep rather than sent. Speed matters, but a wrong rate on a contract customer costs more than a slow one.

Software these builds usually connect to

The systems do not get replaced. The build sits across them, reads from them through their APIs, and writes results back.

CargoWise / Soloplan CarLo / Winsped / Transporeon / Timocom / Trans.eu / McLeod PowerBroker / Extensiv / ShipHero / Descartes / AEB / ATLAS

Frequently asked questions

Can AI answer freight quote requests automatically?

It can draft or send most of them within your rules. The model reads the email in whatever language it arrives, extracts the lane, dates, loading meters, weight, ADR and temperature needs, and asks for anything missing. Prices come from your lane history, market rates and margin rules in code, never from the model. Key accounts, dangerous goods and rates below your floor go to a rep.

Is there AI for European freight forwarders, not just US freight brokers?

Very little off the shelf. The funded tools, HappyRobot, Augment and Vooma among them, are built around US truckload brokers, McLeod and DAT. European forwarders on CargoWise, Soloplan CarLo or Winsped, using Timocom and Trans.eu, with carriers writing in Polish, German and Romanian, mostly need a custom integration on top of the TMS they already run.

Can AI read CMRs, delivery notes and proofs of delivery?

Yes, including phone photos, stamps and handwriting, provided every field carries a confidence score and the unsure ones go to a person. Extracted values are checked against the load in the TMS, such as consignee, date and pallet count, before anything is written back, so a misread date cannot trigger an invoice on its own.

Our dispatch runs on a spreadsheet. Should we replace it?

Not always. If the spreadsheet has one editor and simple rules, leave it, or move it to Airtable. Replace it when a dozen people edit it, formulas break silently and only one person understands it; then a small internal tool with roles, validation, history and Excel export is worth building, and people can keep Excel for analysis.

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