Eliminate manual errors, ensure faster approvals, and achieve seamless financial operations with an advanced invoice matching solution.
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Manual invoice matching draining time and resources? AI can do it in seconds.
See how automated invoice matching streamlines AP and improves financial accuracy.
Cut Processing Costs by 50%
Automated invoice matching eliminates manual effort, reduces data entry errors, and accelerates validation. Enterprises save time, lower labor costs, and achieve a more efficient accounts payable process.
Boost AP Productivity by 40%
AI-driven 2-way and 3-way matching automates validation and approvals. This streamlines invoice processing, reduces exceptions, and helps AP teams handle higher volumes without adding headcount.
Eliminate 99% Payment Errors
Automation ensures every invoice is verified against purchase orders and contracts before payment. Enterprises prevent duplicates, overpayments, and fraud while safeguarding financial accuracy.
Ensure 100% Policy Adherence
Invoice matching software enforces compliance by standardizing workflows, applying built-in checks, and maintaining audit-ready trails. This minimizes regulatory risks and avoids costly penalties.
Gain Real-Time AP Visibility
CFOs get instant dashboards on invoice status, exception rates, and vendor payments. This enables better cash flow management and more informed strategic decisions.
Seamless ERP Integration
Automated invoice matching connects directly with ERP and financial systems for accurate data flow. Enterprises eliminate manual reconciliations and foster smoother collaboration across finance functions.
From managers to CFOs, HighRadius helps the entire AP team to achieve their targets.
HighRadius empowers your team with Agentic AI to eliminate repetitive tasks, auto-resolve exceptions, and fast-track invoice processing—so you can focus on what really matters.
HighRadius transforms AP from a cost center into a strategic lever with real-time data, discount capture, and complete control over working capital.
HighRadius offers ERP-native, API-first integration with minimal IT lift—so you can modernize AP workflows without disrupting your core systems.
Discover how leading enterprises prevent errors, fraud, and delays with automated three-way invoice matching. Download the guide to see why this automation is now a must-have for future-ready AP teams.
Download GuideReady-to-use scorecard that highlights both key and overlooked features, enabling you to effectively compare AP solutions and select the optimal fit for your business.
Download TemplateSpot hidden AP inefficiencies, choose tools with 90%+ automation, and cut processing costs by up to 50%.
Download GuideInvoice matching software is a crucial component of modern accounts payable (AP) departments. It automates the meticulous process of comparing invoices with corresponding purchase orders (POs) and, in many cases, receiving reports.
By leveraging advanced technologies like Optical Character Recognition (OCR) and Artificial Intelligence (AI), invoice matching automation streamlines data extraction, ensuring accurate and efficient comparison of key details such as quantities, prices, and terms. This meticulous verification minimizes the risk of overpayments, duplicate payments, and human errors that can plague manual processes, ultimately leading to a more robust and efficient AP workflow.
Agentic AI replaces rigid matching rules with dynamic, self-learning agents that intelligently link invoices to POs and GRNs. It evaluates item codes, descriptions, quantities, and pricing using machine learning and heuristics—resolving variances without waiting for human action.
The AI agent conducts granular checks on price, quantity, freight, taxes, and total amounts. If mismatches exceed tolerance thresholds, it flags exceptions instantly. Where policy allows, it auto-applies freight thresholds or recommends GL coding for missing components—ensuring accurate accounting.
Agents pull open POs and goods receipt data directly from the ERP, match them in real-time, and automatically update PO and GRN balances post-match. This creates a continuous loop of data validation, consumption tracking, and error-free matching across documents.
When anomalies need manual attention, the agent flags them clearly and enables AP teams to override and complete the match—while capturing the override behavior to improve future accuracy through iterative learning.
Manual invoice matching is error-prone, time-consuming, and costly. Automated matching ensures accuracy, reduces risk, and speeds up processing - here’s how it stacks up against manual methods.
Feature | Automated Invoice Matching | Manual Invoice Matching |
---|---|---|
Invoice Processing Speed | Invoice matching software instantly validates invoices against POs and receipts, reducing cycle times. | Manual matching requires line-by-line checks, slowing down approvals and payments. |
Error Reduction | AI-powered invoice matching automation ensures accuracy and flags discrepancies in real time. | Prone to human errors, missed mismatches, and duplicate payments. |
Scalability | Handles high volumes of invoices seamlessly across entities and geographies. | Limited by staff availability and manual effort. |
Compliance & Audit Trail | Automated invoice matching ensures policy compliance with built-in audit trails. | Manual processes lack consistency and make audits harder. |
Cost Efficiency | Reduces operational costs by eliminating rework and minimizing labor-intensive tasks. | High overhead costs from manual checks and frequent corrections. |
Visibility & Control | Provides real-time insights into exceptions, discrepancies, and approval status. | Limited visibility makes issue tracking and reporting difficult. |
With HighRadius' Agentic AI-powered AP automation software, invoice processing cycle time is 2X faster, and overall productivity improves by 40%.
Book a Discovery CallInvoice matching is the critical foundation of accurate and efficient accounts payable process. It involves meticulously comparing invoice data with corresponding purchase orders (POs) and, in many cases, receiving reports. This meticulous comparison ensures the accuracy of invoices, verifying that the goods or services received align precisely with the original order and that the invoiced amount is correct.
Invoice matching typically involves a multi-step process that leverages key data points from various documents. These data points include invoice numbers, vendor information, dates, line items (including descriptions, quantities, and unit prices), and total amounts. The system meticulously checks for inconsistencies, such as:
Quantity discrepancies: Comparing the quantity ordered on the PO to the quantity received and invoiced. For instance, if 100 units were ordered but only 95 units were received, the system flags this discrepancy.
Price discrepancies: Verifying that the unit price on the invoice aligns precisely with the agreed-upon price on the PO. Any deviations, such as unexpected surcharges or discounts, are immediately identified.
Terms and conditions discrepancies: Ensuring compliance with agreed-upon payment terms (e.g., net 30 days), discounts for early payment, and any other contractual obligations outlined in the purchase order.
Two-way matching and three-way matching represent different levels of verification within the invoice matching process.
Two-way matching: This method compares invoices directly to purchase orders. It essentially verifies that the goods or services ordered were indeed invoiced. While effective for certain scenarios, two-way matching may not always catch discrepancies that arise between the order and the actual goods or services received.
Three-way matching: This more comprehensive approach compares invoices to both purchase orders and receiving reports. By incorporating the receiving report into the verification process, three-way matching ensures that the goods or services received match both the order and the invoice. This provides a higher level of accuracy and control, minimizing the risk of paying for goods or services that were never received or were received in a different quantity or condition.
Invoice matching software automates the tedious and time-consuming process of invoice matching by leveraging advanced technologies such as Optical Character Recognition (OCR), Artificial Intelligence (AI), and Machine Learning 1 (ML).
Instead of relying on manual data entry and cumbersome manual comparisons, the software efficiently extracts data from various sources, including invoices received via email, EDI, or even scanned documents. The invoice matching software then intelligently compares this data with the information in the corresponding purchase orders and receiving reports (if applicable). By automating these tasks, invoice matching software significantly reduces the risk of human error, improves processing speed, and frees up valuable time for AP staff to focus on more strategic initiatives.
When selecting invoice matching software, consider these key features:
Automated invoice matching software revolutionizes the accounts payable process by significantly improving efficiency, accuracy, and speed. By automating data entry and comparison, it reduces labor costs and frees up valuable time for AP staff to focus on more strategic initiatives, such as vendor relationship management, financial analysis, and process optimization.
By implementing robust invoice matching software, businesses can significantly enhance their AP function, improve operational efficiency, reduce costs, and gain a significant competitive advantage.