When your finance team handles hundreds of purchase orders and invoices each month, the chance of unnoticed discrepancies multiplies — and so does the cost of correcting them.
Every payment you make to a supplier should be backed by proof. Yet mismatches between purchase orders, deliveries and invoices still cost your business time and money, leaving you vulnerable to compliance issues and fraud.
Automated 3-way matching, powered by Optical Character Recognition (OCR) and Intelligent Document Processing (IDP), ensures every invoice is verified against the purchase order and goods receipt without adding to your team’s workload.
Three-way matching gives your accounts payable (AP) team the proof it needs before authorising any payment, ensuring each transaction is accurate and defensible. But even with automated tools available, many organisations still rely on spreadsheets and long email chains to carry out 3-way matching manually.
If your business is still manually reconciling purchase orders, goods receipts and invoices, here’s DocuWare’s guide to what 3-way matching is, how it works, and why it matters for accuracy, compliance and fraud prevention in accounts payable.
Before we look at its benefits, let’s clarify what 3-way matching means and outline the key elements of the process.
In accounts payable, 3-way matching is a critical control step that takes place between invoice receipt and payment authorisation. Its purpose is to verify that what was ordered, what was delivered and what is being billed are all consistent.
By ensuring that the purchase order (PO), goods receipt note (GRN) and supplier invoice align in quantity, price and terms, AP teams can prevent overpayments, reduce fraud risk, and maintain compliance with internal and external audit requirements.
To achieve this, the 3-way matching process typically involves a series of coordinated tasks:
|
Step |
Action |
Purpose |
|
1. Document capture |
Collect all incoming purchase orders, goods receipts and supplier invoices in one central location. |
Ensure every required document is available for matching. |
|
2. OCR/IDP extraction |
Use optical character recognition and intelligent document processing to pull key data such as quantities, prices and terms. |
Eliminate manual data entry and improve error detection. |
|
3. Data validation |
Check the captured data for completeness and accuracy before matching. |
Guarantee reliable information for comparison. |
|
4. Cross-document match |
Compare details across the PO, GRN and invoice. |
Identify any discrepancies in price, quantity or terms. |
|
5. Payment approval/discrepancy resolution |
Approve payment when all details align, or trigger an exception workflow to investigate mismatches. |
Ensure only accurate, authorised payments are released. |
The most common data sources matched through this process include purchase orders, goods receipt notes and supplier invoices, received as PDFs, paper copies, EDI files or emails. Integrating these sources ensures that three-way match accounting provides a reliable safeguard for financial control and auditing.
Automating 3-way matching does more than just save your team time. It strengthens financial security and makes everyday AP work smoother, generating operational efficiencies.
Here are the main advantages of an automated matching process:
Together, these benefits mean your AP team spends less time chasing paperwork and more time focusing on the financial insights that will drive your business forward.
Analysing the differences between manual and automated three-way invoice matching makes it easier to see the real gains.
Manual checks are adequate when invoice volumes are low, but they quickly become tedious and error-prone as your business grows. In contrast, automation removes repetitive tasks and ensures accuracy from the start.
Here’s how the two approaches compare:
|
Aspect |
Manual processing |
Automated 3-way matching |
|
Speed |
Matching depends on staff availability and can take days. |
Documents are captured and compared instantly, with immediate discrepancy alerts. |
|
Accuracy |
Prone to oversight, mis-keyed data and missing documents. |
AI-powered OCR and IDP deliver 98–99%+ accuracy. |
|
Cost per invoice |
Higher due to labour-intensive checks and rework. |
Lower processing cost thanks to automation and early discrepancy resolution. |
|
Scalability |
Requires more staff as invoice volumes rise. |
Handles growing volumes without adding headcount. |
|
Data integration |
Manual updates to ERP or procurement systems increase the risk of delays. |
Real-time syncing with existing ERP/procurement platforms keeps data consistent. |
The key capabilities of automated 3-way matching software include:
Overall, automated 3-way matching eliminates repetitive verification steps by capturing and matching data from POs, GRNs and invoices. It flags mismatches instantly, improving compliance and reducing fraud risk — while speeding up AP cycles.
In an automated invoice processing workflow, each stage of 3-way match accounting is handled behind the scenes, so your team no longer needs to collect, compare or approve documents. Instead, the system:
These steps deliver faster cycle times, stronger controls and a clear audit trail without adding to your team’s workload.
Even though three-way matching is a proven approach to strengthening AP processes, some businesses hesitate to automate it. Here are two of the most common misconceptions — and why they don’t hold up.
It’s easy to assume that matching across three document types requires complicated setup or heavy IT involvement. Some AP teams also worry that integrating automation with existing procurement or finance systems will be disruptive.
In reality, modern solutions are designed to integrate seamlessly with ERP and procurement platforms, while supporting multiple data formats. That means automation can be configured quickly, without overhauling your existing systems.
Another common belief is that only big businesses can benefit from 3-way matching. Smaller companies often assume that the cost and effort outweigh the returns.
The truth is that even mid-sized firms see rapid ROI. By preventing errors, avoiding overpayments and reducing fraud risk, automated 3-way matching pays for itself quickly — and scales easily as your business grows.
The finance team was manually matching around 300 invoices each month against purchase orders and goods received notes; a slow, error-prone approach that consumed valuable staff time.
Moving to DocuWare changed everything. With automated 3-way matching:
The results have been significant: faster processing, improved accuracy and measurable time and cost savings.
As Glenkeir Whiskies’ finance manager, Joe O’Raw, explains: “Accuracy has improved immeasurably as my team no longer manually input invoice data — this reduces human errors.”