AI Automation for Transport and Logistics

Less back office. More time to operate.

I automate repetitive processes around transport orders, documentation, PODs, incidents and operational emails to reduce data re-entry, errors and response times.

Designed for freight forwarders, logistics operators and transport companies already working with email, documents, TMS or ERP.

Review an operational process See how it works

The problem is usually not a lack of software. It's everything that happens between systems.

An order arrives by email. Data is copied into the TMS. A PDF is saved to a folder. A reference is missing and someone replies to the customer. Later a POD arrives, you have to identify the correct shipment, attach it and maybe inform again. When volume grows, this intermediate work becomes an operational burden that's hard to scale.

  • Orders and bookings arriving in different formats: Emails, PDFs, Excel or forms that someone must interpret and re-enter.

  • Hard-to-follow documentation: Delivery notes, PODs, customs documentation and files associated with specific shipments.

  • Saturated operational inboxes: Incidents, changes, status queries and requests competing for the same team's attention.

1. Transport order entry automation

Problem: The team receives an order by email or PDF and manually copies references, origin, destination, dates, cargo, contact and notes into the TMS/ERP.

Automated flow: Email/PDF → field extraction → validation → human review if information is missing → record or task creation → draft confirmation to customer.

Value: Less data re-entry, shorter time until the order enters operation and fewer transcription errors.

Typical inputs: email, PDF, Excel, web form.

Typical outputs: structured record, TMS/ERP/API, control sheet, operational task, email draft.

I want to review this process →

2. Documentation and POD processing

Problem: Documents arrive via different channels and the team must identify which shipment they belong to, file them, check references and chase missing items.

Automated flow: Document received → classification → reference/shipment extraction → validation → association to correct shipment → alert if information is missing or inconsistent.

Value: Less manual searching, better traceability and less time spent chasing and filing documentation.

Typical documents: POD, delivery note, CMR, transport documents, supplier invoices, customs or commercial documentation depending on the process.

I want to review this process →

3. Assistant for operational inbox and incidents

Problem: A shared inbox mixes price requests, changes, incidents, status queries and documentation. The team manually decides priority, owner and response.

Automated flow: Email received → classification → customer/shipment/urgency identification → task creation → response draft → exception escalation → pending summary.

Value: Faster responses, fewer interruptions and greater visibility of what remains pending.

I want to review this process →

A simple example

Before
  1. 1 An order arrives by email with PDF.
  2. 2 Someone opens the document.
  3. 3 Data is copied into the system.
  4. 4 Fields and references are checked.
  5. 5 Shipment is created or updated.
  6. 6 Customer is replied to.
After
  1. 1 The order arrives.
  2. 2 Automation extracts and structures data.
  3. 3 Rules validate mandatory fields.
  4. 4 Doubtful cases go to review.
  5. 5 The system updates the destination.
  6. 6 A confirmation or next action is prepared.

Illustrative demonstration workflow, not a client case study. The goal is not to remove people from the process; it is to reserve their time for exceptions and decisions that actually need it.

Pilot on a real process, not a generic demo

  1. 1

    Choose a flow with sufficient volume.

  2. 2

    Collect anonymized/authorized real examples and define fields, rules and exceptions.

  3. 3

    Build the flow against a safe environment or controlled destination.

  4. 4

    Test with historical cases and edge cases.

  5. 5

    Activate progressively and measure.

Possible metrics: minutes per order/document, % of cases requiring intervention, errors, first response time, administrative hours saved.

It can integrate around your current stack

The flow can work with email, PDF, Excel, document storage, CRM, ERP, TMS, APIs and internal tools. The concrete integration will depend on the company's systems and access.

Frequently asked questions

Not necessarily. A pilot can start by generating structured data or a review queue before connecting automatic writing to a critical system.

Let's start with the process that consumes the most time

If you can describe a repetitive flow that today goes through email, documents and your TMS/ERP, we can quickly review if there is a clear automation case.

Review an operational process