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Logistics and customs

Less paperwork between the order and the shipment.

Logistics and customs run on documents, planning and many systems that do not talk to each other. We build the document AI, AI workers and data platforms that aim to remove the repetitive work, with a person in the loop for the exceptions.

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01 / Problems

Problems we often see

These are situations we meet in this sector. They describe common patterns, not your organisation.

  • Orders and invoices arrive as e-mail and PDFOrder e-mails, invoices and transport documents come in many layouts and are typed into the ERP or TMS by hand.
  • Customs files built from many documentsA customs file needs data from several documents, and a missing or wrong field is found late, when a correction is expensive.
  • Planning in spreadsheetsPlanning lives in spreadsheets and in the heads of a few planners, which makes it hard to scale or to hand over.
  • Systems that are not connectedThe ERP, the TMS, bookkeeping and the portals each hold part of the picture, and people copy data between them.

02 / What we build

What we would build

The services that fit these problems. Each links to its own page with deliverables and approach.

  1. Problems we often see
    • Orders and invoices arrive as e-mail and PDF
    • Customs files built from many documents
    • Planning in spreadsheets
    • Systems that are not connected
  2. What we would build
    • Document AI
    • AI workers
    • Operations software
    • Data platform
  3. Where to start
    • AI readiness check
    • AI document automation pilot
  • Document AI. Reads orders, invoices and transport documents into structured data, with a human review step and an audit trail.
  • AI workers. Role-based agents for repetitive back-office work such as order entry and status e-mails, with a person approving the exceptions.
  • Operations software. A planning or intake tool built around your process and connected to the ERP or TMS you already run.
  • Data platform. One governed place for shipment and order data, so reporting and AI start from the same numbers.

Document AI AI workers Operations software Data platform

03 / Best first step

Where to start

Start with a free check, then take the first engagement that fits. Both end in a conversation, and we quote after that conversation.

  1. AI readiness check

    Free check

    Is your organisation ready for a first AI project? Data, use case, people, risk and pilot.

  2. AI document automation pilot

    Typical duration: 3 to 4 weeks

    Find out which document stream is worth automating first, then run a pilot on that stream in your own Azure tenant.

Take the checkAsk for a quote

AI document automation pilot

  • Working pipeline for one document type
  • Human review step and audit trail
  • Accuracy and time-saved report
  • Handover and run book

04 / Related work

Related case studies

Next step

Which sector problem is yours?

Tell us what you run today and where the manual work sits. We say whether AI or a data platform fits, and what a first step is.

Book a callSend a messageor email info@nexops.nl directly

Accepting projects for Q4 2026