What is invoice matching?
Invoice matching involves comparing and linking a supplier invoice with the underlying data on
which the cost is based – a purchase order and goods delivery receipt (GDR), or a contract.
Invoice matching involves comparing and linking a supplier invoice with the underlying data on
which the cost is based – a purchase order and goods delivery receipt (GDR), or a contract.
It ensures that what is billed matches what was ordered and received, helping to reduce payment errors, prevent fraud, and enforce internal controls. This process helps reduce errors, improve financial control, and support compliance efforts while also laying the groundwork for automation and efficiency in AP operations. It also plays a vital role in maintaining financial transparency by creating a clear audit trail for every transaction, helping businesses strengthen internal controls, prepare for audits, and ensure alignment with budgeting and compliance policies.
As AP teams look to modernize workflows and adopt touchless invoice processing, invoice matching becomes a foundational capability—particularly within broader invoice automation, e-invoicing, and invoice capture strategies.
Manually matching invoices to purchase orders (PO) and goods delivery receipts (GDR) is complex and time-consuming. Especially when it requires matching invoices to purchase orders at the line level. In complex cases one invoice may include goods or services for all purchases done over a month's period, hence bundling multiple purchase orders from different buyers within the organization. Accounts payable is then tasked with tracing down which invoice item corresponds to which purchase order.
A digital accounts payable (AP) automation solution can manage the invoice matching process through a fully automated workflow that operates without manual intervention. With an intelligent matching engine using AI and machine learning technology, today’s AP platforms—particularly those designed with intelligent invoice capture and automation in mind—can handle even the most complex matching scenarios and help save valuable time for the accounts payable team. These innovations are often part of larger e-invoicing ecosystems that streamline compliance and support end-to-end AP automation.
When the information on the invoice does not match the underlying data from the PO, GDR or contract, a deviation (or exception) occurs. This deviation must be reviewed and handled by the person within the organization who is responsible for the purchase in question. In many cases, this can be a complex and tedious task.
Accounts payable software that leverages AI and automation can simplify and streamline the exception-handling process by automatically identifying deviations and sending only the specific invoice lines to the right person for review and decision.
This adaptive logic is especially important as companies scale their AP functions and seek to maintain both compliance and efficiency in increasingly complex workflows.
Automated invoice matching is a foundational function in accounts payable automation. The process compares incoming invoices with supporting documents—such as purchase orders, delivery receipts, or inspection approvals—to ensure accuracy before payments are processed. The level of invoice matching used depends on the company’s internal controls, risk appetite, and industry-specific requirements, especially as organizations look to streamline operations through a touchless invoice workflow.
Two-way matching in accounts payable compares the supplier’s invoice to the original purchase order. This approach confirms that the quantities, pricing, and terms listed on the invoice match what was agreed upon when the order was placed.
It’s typically used for straightforward, low-risk purchases where goods or services are consistent and predictable—such as recurring office supplies or standard service contracts.
While two-way matching is faster and less complex, it leaves more room for error since it does not confirm that the goods were actually received. Businesses using two-way matching should implement additional controls or audits if vendor performance or fulfillment issues arise.
Three-way matching in accounts payable adds a critical layer of verification by ensuring that the invoice matches both the purchase order and the goods delivery receipt (GDR). This helps confirm that the products or services have actually been delivered before payment is made.
Three-way matching is the most common approach in industries like manufacturing, logistics, and retail, where validating the full delivery of goods is essential. It significantly reduces the risk of overpayments, duplicate payments, or fraud by requiring alignment across all key purchasing documents.
Many companies weighing two-way versus three-way invoice matching adopt the latter as part of broader AP automation best practices that enhance accuracy and control.
Four-way matching in accounts payable includes all the steps of three-way matching, with one additional check: the invoice is also compared against an inspection or acceptance document that confirms the quality or condition of the goods received.
This approach is most common in industries with stringent compliance, safety, or quality assurance standards—such as pharmaceuticals, aerospace, and construction—where materials may need to pass a formal inspection before payment is authorized.
Four-way matching creates a highly controlled payment environment. By verifying that the PO, receipt, invoice, and inspection all align, it minimizes financial risk and ensures regulatory and contractual compliance. Beyond compliance, organizations are also using advanced matching strategies to drive greater AP workflow efficiency and touchless processing at scale.
Modern invoice matching has evolved from basic automation into a smarter, more adaptive process. Medius uses artificial intelligence and machine learning to move beyond traditional rule-based systems. By learning from past transactions, recognizing patterns, and applying contextual insights, the platform continuously improves accuracy and reduces exceptions throughout the invoice lifecycle.
Complex multi-line invoices are auto-matched to multiple POs or deliveries — even across departments or entities.
The system adapts to vendor behavior, recognizing common pricing fluctuations or rounding differences and reducing manual exceptions.
Invoice deviations are intelligently routed to the right stakeholder with all necessary context for resolution.
Matching accuracy improves continuously as the system "learns" from every decision made across your team.
This means fewer delays, faster approvals, and more touchless processing—helping finance teams move from reactive exception handling to proactive optimization.
These intelligent workflows are especially impactful when integrated with invoice capture technologies and automated processing layers across the full AP cycle.
Ready to reduce exceptions, eliminate manual matching, and increase AP efficiency? Let’s talk about how Medius can help you streamline invoice processing with intelligent automation.
It can delay payments, cause missed discounts, and lead to errors like duplicate payments—all of which hurt cash flow and supplier relationships. Automating the process improves accuracy, ensures timely payments, and gives finance teams better control over working capital.
Leaders should assess the system’s flexibility to handle multi-PO invoices, support for 2-way/3-way/4-way matching, integration with existing ERPs, and AI capabilities for handling exceptions. It's also critical to consider ease of use, vendor onboarding, and reporting tools for compliance and audit readiness.
Invoice matching helps prevent fraud by checking that invoices match purchase orders and goods receipts before payment. This process catches fake vendors, duplicate billing, and other discrepancies. AI-powered systems like Medius can also flag unusual patterns for added protection.
Yes. 2-way or contract-based matching can be used for services. Medius supports flexible workflows that ensure accuracy for both goods and service-based purchases while supporting e-invoicing compliance.