How to Harness Intelligent Document Processing (Part 1): Real Use Cases That Boost Efficiency in Logistics & Financial Services

Part 1 — Intro & welcome (00:00–02:06)

[00:00:07] RJ Verheggen:
For every transport — or every box — there is a pouch. And in this pouch, there are a lot of documents.

[00:00:12] William McInnes:
But now I want to know what’s in the pouch.
Oh — my heater is on camera. Get out of it, you little butt.

Well, hello everybody, and welcome back to another episode of The Enterprise Content Show, where we take enterprise content, sprinkle in some AI, add a dash of automation, and somehow make it fun.

I’m Will — Chef Will, you can call me — your host, the captain of chaos, and lover of great tech stories.

I’m feeling very sad today because my co-host Franzi is not here. But I’m also feeling very happy today because I have a guest who is like an effervescent energy drink. We’re going to pop him in, watch the fizzing, and have a lot of fun.

So here he is. Hello, RJ — or Robert, as some people call you.

[00:01:12] RJ Verheggen:
Not too many people say RJ.

[00:01:15] William McInnes:
RJ it is.
So RJ, you are one of the founders of Klippa — is that correct? Are you the RJ?

[00:01:23] RJ Verheggen:
Yeah. And I’m so honored to be on The Enterprise Content Show. It’s one of my favorite podcasts.

[00:01:27] William McInnes:
Very good — I knew you’d be good at this.

So this is a company whose technology we didn’t just partner with — we acquired it. That was in March this year, right? A momentous moment for any entrepreneur, and a fantastic moment for the Doxis platform and all our customers and partners.

The engine you’ve built up there in Groningen, in the north of the Netherlands, is a real supercharger. That wasn’t very good geographically — but we’ll come back to that.

RJ, welcome. Great to have you on the show.

[00:02:06] RJ Verheggen:
Likewise. Happy to be on the show. And if you want, I can share a bit of background on how we ended up joining the group — I’ll keep it short.

Part 2 — The founding story & IDP origins (02:15–06:19)

[00:02:15] William McInnes:
Come on — the founding story. It’s part of any entrepreneurial folklore. Where did it begin?

[00:02:24] RJ Verheggen:
I think it began in our CEO’s bedroom, to be honest. He was frustrated managing all these receipts lying around his desk and thought, “This has to improve.”

This was 2015 — and we actually celebrated our ten-year anniversary two weeks ago.

He had this frustration: we need to do something about receipt chaos. So we brought together a group of people we knew from university, all with different backgrounds, and started focusing on the receipt problem.

We thought: if we want to get rid of paper receipts, we need digital receipts. That meant connecting to point-of-sale systems, adding QR codes or NFC chips, so instead of getting a paper receipt, you’d tap your phone and receive it digitally.

That was the founding idea. But it was hard to find a business model, hard to find funding — there wasn’t a clear revenue path. So we realized this would either be a very long adventure or we needed to pivot.

We pivoted toward expense management.

[00:03:33] RJ Verheggen:
We built a solution for SMEs to manage expenses efficiently — snapping a picture of a receipt, reading the content, approving it, and sending it to accounting systems.

That’s where the IDP story really starts: extracting data from receipts. Receipts are complex — very diverse formats, often poor image quality — so there were many challenges to solve.

From receipts, we expanded to invoices and other documents. The technology we built is applicable to all document types.

About five years ago, we made a big pivot toward Intelligent Document Processing, invested heavily in marketing and sales, and acquired customers all over the world.

But it was still hard for us to tap into the enterprise world. When SER came along — with its large customer base — it became a real win-win scenario.

Part 3 — What is Intelligent Document Processing? (04:48–06:19)

[00:04:48] William McInnes:
For anyone wondering: what does IDP actually mean? How would you explain it — maybe even at a barbecue?

[00:05:09] RJ Verheggen:
IDP stands for Intelligent Document Processing.

You have unstructured data — images or PDFs — that you can’t work with. We turn that into something structured, like a spreadsheet, that machines can read.

Traditional document processing meant manually typing information into systems. Intelligence means the system can interpret what’s on the document and turn it into usable data.

[00:05:38] William McInnes:
That’s a very elegant definition. Thank you.

[00:05:43] RJ Verheggen:
What surprised us is how many use cases exist across industries. When we started calling it IDP, doors opened everywhere — cases we never imagined were solvable by our technology.

Part 4 — The IDP business case (06:19–09:11)

[00:06:19] William McInnes:
You’ve spoken to thousands of customers. What value are organizations typically trying to unlock with IDP?

[00:07:24] RJ Verheggen:
There are three main drivers.

First: efficiency. People are manually processing documents — repetitive, labor-intensive work. With IDP, machines do that, and humans can focus on higher-value tasks.

Second: scalability. Companies are often limited in growth because they can’t process more volume. Automation removes that bottleneck.

Third: compliance. Machines can spot errors or fraud at a level humans can’t — pixel-level analysis, metadata checks — which is critical in regulated industries.

[00:09:11] William McInnes:
Efficiency, scalability, and compliance. Love it.

Part 5 — Logistics & transport use cases (10:32–15:31)

[00:10:32] William McInnes:
Let’s talk logistics. Global supply chains, lots of handoffs, lots of paperwork. Where does IDP shine here?

[00:11:21] RJ Verheggen:
Logistics breaks down into road, air, and sea.

National transport is often already digitized. The real challenge appears with cross-border shipments — customs forms, bills of lading, and non-standardized documents. In air cargo, every shipment has a pouch with documents. Health records, certificates, vaccination passports — all paper-based.

[00:12:41] RJ Verheggen:
We’re building a digital pouch. Instead of paper, there’s a QR code on the box. Scan it, and you have a digital registry — not just documents, but extracted content.

We can already validate things like vaccinations automatically and flag what’s missing.

[00:13:42] William McInnes:
That’s so cool.

[00:13:46] RJ Verheggen:
It’s a massive efficiency gain. You eliminate queues, reduce manual input, and improve both speed and customer experience.

Part 6 — Financial services & compliance (15:31–21:46)

[00:15:31] William McInnes:
Let’s switch to financial services — document-heavy, compliance-driven.

[00:17:51] RJ Verheggen:
In banking, insurance, and payment services, compliance is often the biggest driver. Fines and reputational risk matter.
We do KYC checks — Know Your Customer — for marketplaces like eBay. That involves passports, bank cards, chamber of commerce records.

With IDP, we can check 100% of documents instead of sampling, and only escalate suspicious cases to humans.

[00:21:15] William McInnes:
That human-in-the-loop model is powerful — scale with confidence.

Part 7 — Wrap-up & outro (21:46–22:58)

[00:21:46] RJ Verheggen:
IDP is infinitely scalable. Peak days, millions of documents — the system doesn’t get overloaded.

[00:22:14] William McInnes:
RJ, this has been brilliant. You and the entire Klippa team are legends. To everyone watching: like, subscribe, share — and stay tuned for the next episode.

[00:22:55] William McInnes:
This engine has truly supercharged the Doxis experience.

[00:22:58] William McInnes:
Thank you, RJ.