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TRANSPORT & FREIGHT

Logistics automation: waybills processed
with no manual re-typing

Logistics automation pairs Vision-AI for CMR documents with the WhatsApp Business API for driver communication, all wired into your existing TMS, Pipedrive, and Directo (or Rivilė) accounting. Manual data re-entry drops, ETAs come in automatically, and the same dispatch team handles a larger volume.

Vision-AI reads 200+ waybills in under 30 seconds. Drivers send ETAs by WhatsApp without anyone having to call. Pipedrive and the TMS stay in sync.

What changes
35%Faster end-to-end shipment processing
12%Fewer empty-mileage runs from better ETA visibility
<45dTypical payback period
Book a free auditSee how it works ↓
Data stays within your EU infrastructure. Business-tier APIs only — your data is not used for model training.
The problem

200 daily waybills mean 200 daily chances to mis-key the data

CMR scan quality

Standard zonal OCR fails on a meaningful share of physical CMR scans because of folds, shadows, and layout drift — dispatch then re-keys the document by hand.

5 hours/day on dispatch calls

Dispatch staff spend large portions of the day calling drivers for ETAs and re-typing the answers into systems that don't talk to each other.

VMI filing risk

Misaligned i.VAZ or i.SAF entries can trigger audits and stop trucks at the border. Small typos have outsized consequences.

What we automate

Three integration patterns

Vision-AI CMR

CMR extraction at 95–99% accuracy

Today

Standard zonal OCR fails on a meaningful share of physical CMR scans because of folds, shadows, or layout drift — dispatch staff then have to re-key the document by hand.

After

Vision-AI reads the whole document semantically, extracts signatures, totals, and shipment data, and writes the result into your TMS or ERP within seconds.

Outcomes
✓95–99% extraction accuracy
✓Automatic signature presence check
✓PDF and image inputs both supported
✓CMR, fuel receipt, and packing list integrations
More on this →
WhatsApp driver comms

Driver ETAs without manual dispatch calls

Today

Dispatch staff lose 3+ hours a day calling drivers for ETA updates and entering the answers into the TMS manually.

After

A WhatsApp Business API workflow pings drivers on schedule. Their free-text replies are parsed by a language model and written back into the TMS as structured updates.

Outcomes
✓Automatic ETA collection
✓Pipedrive deal updates
✓Customer-facing ETA notifications
✓Less time on dispatcher calls
More on this →
ERP / TMS sync

Directo, Rivilė, and TMS in one pipeline

Today

Pipedrive holds the sales side; TMS holds the logistics side; Directo holds the accounting side. Without integration, staff copy data between three systems by hand.

After

A unified workflow ties the three together. When a deal moves to "Won" in Pipedrive, the TMS gets the order, and the accounting documents are created in Directo automatically.

Outcomes
✓Admin time roughly cut in half
✓Fewer data-entry mismatches
✓Customs documentation flow connected
✓Global inventory view across systems
More on this →
Why Vision-AI

Vision-AI vs. legacy zonal OCR

Vision-AI reads CMRs the way a person does, even when the scan is creased or skewed — typically 95–99% extraction accuracy on standard CMR layouts.

Legacy zonal OCR
  • Needs pixel-perfect scan layouts
  • Fails when fields shift on the page
  • No semantic understanding — every layout needs a new template
  • Typical accuracy: 60–80%
Vision-AI
  • Reads creased or skewed scans without re-training
  • Picks up fields by context, not coordinates
  • Handles new supplier layouts without per-vendor templates
  • Typical accuracy: 95–99%

End-to-end flow: Pipedrive "Won" → TMS dispatch

What the daily pipeline looks like once the integration is live.

1

Sales handoff

A Pipedrive deal moves to "Won". A webhook fires the workflow.

2

TMS dispatch

n8n creates the corresponding shipment in the TMS with the customer, address, and load details.

3

CMR scanning

After dispatch, the CMR scan hits the OCR pipeline. The extracted data lands in the accounting system within seconds.

4

Driver check-in

The WhatsApp Business workflow asks the driver for an ETA update; the parsed reply syncs back to the TMS automatically.

Typical ROI for a 15-dispatcher operation

Numbers from real engagements with mid-size freight forwarders running this setup.

35%
Faster end-to-end shipment processing

Full automated pass-through without manual re-entry.

12%
Fewer empty-mileage runs

Better ETA visibility allows tighter route planning.

250h
Dispatch hours saved per month

Data entry and status calls move to the workflow.

<45d
Typical payback period

Across project price + monthly API costs.

Pricing

Project tiers

Starter
€400–900
10–14 days
For: Single workflow
✓CMR → ERP OR Pipedrive → TMS sync
✓Error monitoring
✓30 days support
Get a Starter quote
Most popular
Growth
€1,500–4,000
3–6 weeks
For: Multi-system pipeline
✓Vision-AI CMR pipeline
✓WhatsApp driver comms
✓ERP + TMS + CRM sync
✓Customer ETA notifications
✓60 days support
Get a Growth quote
Enterprise
From €4,000
6–12 weeks
For: Large EDI / carrier setups
✓EDI integration
✓Customs documentation
✓Multi-tenant TMS support
✓Full monitoring and alerts
✓Dedicated engineering support
Discuss enterprise
Related case study (logistics)
CRM lead routing for a logistics company: 60 min → 30 sec
Read the case →
Related

More services and solutions

Questions

Frequently asked questions

Can Vision-AI handle damaged or low-quality CMR scans?
Yes. Large vision models (Claude vision, GPT-4o) do not depend on fixed-zone OCR. They read the document with semantic understanding, so creases, shadows, and rotated pages are usually handled at similar accuracy to clean scans.
How does the WhatsApp driver communication work?
We use the WhatsApp Business API. The system sends drivers ETA requests on a schedule, and a language model parses their free-text replies into structured updates that flow back to your TMS.
Which ERP / TMS systems do you integrate with?
Directo (XML API), B1.lt, Rivilė (REST API), and any system with an API or webhook. We use n8n or Make as the orchestration layer.
What does a logistics automation project cost?
A single pipeline starts around €400. Larger setups with WhatsApp driver communication, mass document processing, and multi-system sync range €1,500–4,000. The exact quote comes after the free audit.

Mūsų stiprybės

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  • Kokybė

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Contact

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