Case Study: Automated Invoice Processing in Logistics

Between 200 and 300 incoming invoices a day, three separate intake channels, and three full-time employees who could barely keep up — that was daily life in accounts payable at a mid-sized logistics company before we redesigned its invoice processing together. Today, most of that volume runs through without any human involvement, and turnaround time has dropped from roughly two days to under four hours. This post walks through how the change was built and what other companies can take from it.

The Starting Point: A Process Buckling Under Its Own Volume

The client is a logistics provider that receives invoices daily from a wide range of suppliers — carriers, freight partners, repair shops, warehouse service providers. Those invoices arrived through three separate channels: paper mail, PDF attachments by email, and downloads from a supplier portal. For every single invoice, an employee had to open the document, key in the relevant details — supplier, amount, line items, cost center — and enter them into the ERP system.

Three employees worked exclusively on this data entry and matching. Even so, invoices piled up the moment someone went on vacation or called in sick. Error rates and processing time had drifted well past what the company could sustain.

What a Slow Process Actually Costs

A two-day turnaround sounds harmless enough on paper. In practice, it meant early-payment discounts expired while invoices were still sitting in the queue. Suppliers chased payment status on invoices that had already arrived — just not yet been processed. And the accounting team itself had little capacity left for work that actually required judgment, such as supplier management or closing preparation, because raw data entry consumed most of the day.

Why Digitization Alone Wasn’t Enough

A scanning archive or a basic OCR tool would have relocated the problem rather than solved it. Every supplier formats invoices differently — different field labels, different layouts, different wording around discounts and surcharges. Rule-based capture breaks down against that variety, since every new layout would need its own rule, and logistics companies typically deal with hundreds of suppliers. What was needed was a system that could understand invoice content rather than just pull text from fixed positions on a page.

The Solution: AI Extraction, Workflow Automation, and Direct ERP Integration

Together with the client, we built a solution across three layers: intelligent document recognition, an automated workflow for validation and approval, and a direct connection to the existing ERP system.

Consolidating the Intake Channels

Scanned mail, email attachments, and portal downloads now flow into a single queue instead of trickling in through three disconnected paths. That alone removes the first — and often underrated — manual task: sorting and routing incoming documents before any actual review even begins.

AI That Reads and Understands the Invoice

At the core of the solution sits AI-powered document processing built on Azure Document Intelligence. The system automatically classifies incoming documents — invoice, credit note, or payment reminder — and extracts supplier, invoice number, amount, and line items, assigning the correct cost center. Unlike a rigid OCR template, the model learns from examples and generalizes to new, previously unseen invoice layouts as new suppliers come on board.

For every extracted field, the model also outputs a confidence score. When that score falls below a defined threshold — because an amount is hard to read, say, or a field is ambiguously matched — the case is automatically flagged for manual review. That mechanism is what separates automation you can trust from automation that just waves everything through.

Only Exceptions Reach a Human

A workflow automation layer takes the extracted data, matches it against purchase orders and agreed terms, and checks plausibility — whether the amount lines up with the ordered quantity, for instance, or whether the supplier is already known in the system. Clear-cut cases move straight through. Only when a discrepancy shows up, a supplier is unrecognized, or an amount stays ambiguous does the invoice land in a staff member’s inbox — already carrying every piece of extracted information, so review takes minutes rather than hours.

A Direct Line into the ERP System

To make sure no invoice gets entered twice, the workflow connects directly to the ERP system (SAP). Invoices that pass validation are posted automatically, cost center and document reference included. Accounting sees the same record in SAP that the system originally read from the invoice — no manual re-entry, no gap between document and posting.

Data Protection and Traceability

Incoming invoices often carry personal data — a contact person’s name, or a sole trader’s bank details. Processing therefore runs in a controlled environment, every automated decision is logged, and every posting can be traced back to the original invoice. For an accounts payable function that’s already subject to audit, that traceability isn’t a nice-to-have; it’s a baseline requirement.

The Result: From Bottleneck to Self-Running Process

After go-live, the system processes 85% of incoming invoices fully automatically, with no employee involvement required. Turnaround time per invoice — from arrival to posting — dropped from roughly two days to under four hours.

Metric	Before	After
Automation rate	fully manual entry	85% straight-through
Staff capacity tied up in invoice entry	3 full-time employees	2 FTE freed for other work
Turnaround time per invoice	around 2 days	under 4 hours

“We turned our accounting from a bottleneck into a self-running process,” is how the client puts it. Two of the three employees who previously worked exclusively on data entry are now available for other tasks. The remaining capacity in accounts payable is focused on the cases that genuinely require human judgment — not on typing numbers into a screen.

What Other Companies Can Take from This

This solution was built for one specific client, but the underlying principles apply to any company dealing with high invoice volume.

Not Every Invoice Needs to Be Automated

An 85% automation rate also means 15% of cases still go through a person — and that’s not a leftover to be optimized away, it’s a deliberate design choice. Unknown suppliers, unusual amounts, and special terms belong in human hands. The value of the automation lies in reliably filtering out exactly those cases while everything else runs quietly in the background.

Clean Master Data Is a Prerequisite, Not an Afterthought

Matching invoices to purchase orders only works if supplier, order, and cost-center data are properly maintained in the ERP system. Companies considering a similar setup should assess master data quality before the project starts. Cleaning it up mid-rollout costs far more time than planning for it upfront.

Rolling Out in Stages Pays Off

Rather than connecting every supplier at once, it makes sense to start with the highest-volume or most frequently recurring ones. That way, the impact becomes visible quickly, while the system keeps learning on lower-risk cases before it’s rolled out across the entire accounts payable function.

Freed-Up Capacity Needs a New Purpose

Automation only creates lasting value if the time it frees up gets put to good use. In this project, the positions that opened up weren’t cut — they were redirected toward work that had previously been neglected. That effect is often underestimated in ROI calculations, yet it frequently determines whether an automation project is perceived as a success inside the company.

Conclusion

Invoice processing is a process almost every company with procurement or outside services deals with — and one where AI-driven automation pays off unusually fast, because volume and repetition are already high from day one. What matters, as this project shows, is combining document recognition, workflow logic, and clean ERP integration rather than deploying an isolated point solution.

If you’d like to explore whether a similar approach could work for your accounts payable process, we’re happy to talk through your specific setup and what realistic outcomes would look like for your company.