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Case study · Operations · Finance

The paper rides in the cab. The data is already home.

Digital CMR and POD: from photo to settlement

The driver photographs the document at unloading. UiPath IXP reads it — stamps, scribbles and all — a robot matches it to the order in the TMS, and the freight invoice goes out the same day.

9 000CMR and POD documents a month circulate between cabs and the office at this example carrier. The invoice waits until the paper comes home.

Executive summary

The challenge

Transport documents take weeks to reach the office; invoicing and settlements stall.

What changes

A photo from the cab → IXP reads it → a robot matches it to the TMS order and validates completeness.

Business value

Invoicing on the day of delivery, lower DSO, proof of delivery on demand.

Systems & scope

The driver app, the TMS, the accounting system; UiPath IXP + robots.

Illustrative scenario

A carrier and forwarder, 400 vehicles

9,000 CMR and POD documents a month. Drivers bring the paperwork in every week or two; the office retypes data, matches documents to TMS orders, scans and files.

A freight invoice cannot go out without proof of delivery. So the company's cash rides around Europe in binders — and a client asking for delivery proof waits for a scan.

The current reality

  1. HumanThe driver carries CMRs in the cab for weeks
  2. WaitingNo invoice without the POD — DSO climbs
  3. HumanThe office manually matches documents to TMS orders
  4. HumanRetyping, scanning, filing in binders
  5. Error riskA lost or illegible CMR = a dispute and no payment
  6. WaitingThe driver's settlement waits for complete paperwork
HumanWaitingError risk

The hidden cost of the current process

Between unloading and invoicing lies a week that costs money.

  • 600 office hours a month spent retyping and matching documents.
  • Invoicing delayed 1–2 weeks is working capital frozen on the road — again every month.
  • “We delivered / you did not” disputes drag on without quick proof.

The cost of doing nothing

A year of manual document handling≈ 158 400 €
3 years — the same paper pile≈ 475 200 €
After the fleet grows to 550 trucks (per year)≈ 217 800 €

Manual work is an operational tax: the automation investment is finite, the manual cost is paid again every month.

The process after automation

  1. AutomationThe driver photographs the CMR in the app at unloading
  2. AutomationIXP reads the document — stamps and handwriting included
  3. AutomationA robot matches it to the TMS order and checks completeness
  4. HumanGaps and mismatches: one dispatcher decision on Teams
  5. AutomationThe invoice goes out the same day; the POD is available to the client
HumanAutomation

What the automation handles

  • Reading and validating documents 24/7 (IXP)
  • Matching to orders and completeness checks in the TMS
  • Preparing the invoice and driver-settlement pack

When a human decides

  • Mismatches, damage and remarks on the document
  • Disputes with clients and subcontracted carriers
  • Exceptions beyond the completeness rules

Before

Document's journey to the office1–2 weeks
Manual document work~600 h / month
Freight invoicingafter the paper set is complete
Proof of delivery for the clienton request, days later

After

Document's journey to the officeminutes
Manual document workexceptions only
Freight invoicingon the day of unloading
Proof of delivery for the clientinstantly

Value model — example assumptions

Illustrative model
9,000 documents × 4 min of handling= 600 h / month
600 h × €22 fully loaded hourly cost= €13,200 / month
12 months× 12
Annual office capacity released≈ 158 400 €

Business benefits

  • Cash returns sooner: the invoice leaves on unloading day, not when the binder returns
  • Driver settlements without paper piles — fewer disputes, calmer drivers
  • The full evidence set in a second for any claim
  • The office absorbs a bigger fleet without headcount growth

Board-level KPIs affected

DSOBilling lagCost per shipmentDriver settlement time

What management gains

  • A daily picture: delivered, invoiced, pending
  • Fewer delivery disputes — the proof is in the system, not the cab
  • Predictable cash flow instead of invoice waves after driver returns

Estimate it for your organisation

hours released per month
annual capacity released

An illustrative estimate based on your inputs. A model of released capacity — not a savings promise.

Systems in this scenario

Inputs

  • Aplikacja kierowcy (zdjęcie)
  • E-mail od kontrahentów
  • Skany z terminali

Mientha agentic layer

  • UiPath Agent Builder
  • UiPath robots
  • Maestro™ · Action Center

Core systems

  • TMS
  • System FK
  • Portal klienta

Human approval: Teams / Action Center

What we deliver

  • A document-sample analysis: quality, languages, formats
  • An IXP model trained on your CMRs and PODs
  • Robots matching documents to orders in the TMS
  • An exception route for dispatchers on Teams
  • A pilot on one branch or lane
  • Extraction-quality monitoring and a weekly report

What we need to start

  • 50–100 sample CMRs/PODs — hard ones welcome
  • TMS access in a test environment
  • The completeness rules required for invoicing
  • A process owner on the operations side

Implementation roadmap

Discovery

We map the process, data and exceptions with process owners.

Design

Target flow, business rules, approval thresholds.

Build

Agents, robots and integrations in your environment.

Validate

Tests on real cases, exception handling.

Go-live

Controlled rollout with human oversight.

Optimise

Monitoring, reporting and continuous improvement.

Typical duration depends on systems and rules — a single process is usually weeks, not quarters.

Risk and controls

Autonomy under control

  • Below the confidence threshold → a human always verifies
  • The robot admits no invoice without your completeness rules met
  • Originals archived — nothing is lost along the way
  • A full decision trail on every shipment

Why now

  • Every week of invoicing delay is working capital frozen on the road
  • Rate pressure: a cost edge is easier built in the back office than on fuel
  • It is the foundation for streamlined driver settlement — our transport product

Why this matters to:

CFO

DSO falls; cash flow stops depending on driver returns.

Dyrektor spedycji

Dispatchers manage exceptions, not paper.

Właściciel

The fleet can grow without a swelling office.

Questions we usually hear

“Drivers will not take photos.”

They do — because their prompt settlement depends on that photo. The app guides them step by step, and the paper original still reaches the archive.

“Our CMRs are illegible.”

That is why we train IXP on your documents, not on templates. Below the confidence threshold a case goes to a human — and extraction quality grows week by week.

“Our scanners already do OCR.”

OCR reads characters. Here the document is understood, matched to the order, validated and closed in the TMS. That is the difference between a scan and a settlement.

When this may not be the right solution

  • A few hundred documents a month — scanning discipline will do
  • Clients require paper originals only, without exception
  • No TMS at all — operational basics first, automation second

A question for your next board meeting

How much of your company's cash is riding around Europe in truck cabs today?

How many days pass between unloading and invoicing at your company?

Send 5 sample CMRs — we will show extraction on your documents, not on slides.

Send us 5 sample CMRs

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