Invoice Matching: Exploring 2-Way, 3-Way, and 4-Way Matching (2024)

One significant activity in Accounts Payable (AP) processes is Invoice Matching. Traditional approaches in this key task may cost time, effort, and human resources to a business. Using innovative technologies and automated toolsets can optimize invoice matching to provide extra leverage and value to a business.

This article provides a detailed insight on invoice matching, the different types, the need for touchless invoice processing or invoice management, and its varied benefits.

What is Invoice Matching?

Invoice matching is an accounts payable process that validates & compares information on the purchase order (PO) with that of the vendor invoice and product receipts.

When an organization wants to use the goods or services of a vendor, it raises a purchase order with detailed requirements. Upon delivery of the requisitioned goods or services, a product receipt is issued by the buying organization. The vendor then raises the invoice for payment clearance. This is when invoice matching takes place.

Matching invoices ensures that there are no errors or inconsistencies between the PO and the invoice. It facilitates faster settlement of vendor dues and prevents the risk of vendor fraud & payment for fraudulent invoices.

What is a Deviation?

Referred to as invoice exceptions, a deviation occurs when there is a mismatch between the invoice details and its validating documents such as the PO or the goods/product receipt.

Deviations can be of two types - quantity and price

  • Quantity deviation: refers to the discrepancy between the amount or number of items on the PO and the billed invoice
  • Price deviation: refers to a mismatch between the cost mentioned in the PO and the value mentioned in the invoice.

Identifying and reconciling deviations can be a daunting task for the AP department. Deviations should be assessed to see if they fall within tolerance limits to proceed with invoice processing or revert the invoice to the vendor for corrections.

Tolerance level refers to minor variations that can occur in percentages or amounts in an invoice. Invoices exceeding tolerance levels are put ‘on hold’ and sent for correction to the vendor.

Looking to automate your manual AP Processes? Book a 30-min live demo to see how Nanonets can help your team implement end-to-end AP automation.

Need for Invoice Matching

Let’s find out why verifying or matching invoices is so important for a business.

Invoice matching ensures that vendor invoices can be verified against supporting documents before releasing payments. This helps businesses to:

  • Confirm that payments are made only for valid goods or services received from the vendor
  • Maintain faster and accurate releases of payments
  • Facilitate better transparency by eliminating errors and double payments
  • Track records of payments for multiple vendors
  • Be better prepared for company audits

Different businesses can follow different ways of invoice matching as elaborated in the next section below.

Ways of Invoice matching

The invoice matching process in organizations is normally done in the following ways: 2-way matching, 3-way matching, and finally 4-way matching.

Invoices are validated against other related document workflows that can include purchase orders, receipt of goods, and inspection slips. These ways of matching also check for invoice discrepancies & tolerance levels that need to be resolved before the invoice is cleared for payment.

2 Way Matching

2-way matching is a simple & common way of verifying invoices. It involves matching invoices to purchase orders as well as checking for tolerances. If the invoice meets the required criteria, then it is scheduled for payment.

3 Way Matching

3-way matching is the most popular method of invoice matching. This involves a three-step process. The invoice is checked for accuracy in details listed on the purchase order as well as the receipt of goods. Once tolerance levels are okayed, the invoice is readied for payment.

4 Way Matching

More complex than 2-way and 3-way matching, 4-way matching involves another step of validation. It necessitates matching invoices to purchase orders, receipts of goods and inspection slips as well.

Upon delivery of goods, the procurement department (or the receiving department) checks for quantity and issues an inspection slip that acknowledges that the quantity received is accurate. Hence, only an invoice that matches the PO, goods receipt, tolerances, and the inspection slip is considered suitable for payment.

These ways of invoice matching ensure that companies pay only for the goods/services ordered and received. It also protects against false invoices and payment errors enabling businesses to have a better hold on their dealings with third parties.

Set up touchless AP workflows and streamline the Accounts Payable process in seconds. Book a 30-min live demo now.

Invoice Matching: Exploring 2-Way, 3-Way, and 4-Way Matching (1)

Matching Invoices to Contracts

Apart from the invoice matching methods, certain purchases may be done using a contract matching process. Also referred to as non-PO invoicing, this type of invoice is used for recurring or utility payments that happen in a cycle.

In contract matching, the invoice is compared and verified against an existing contract. Examples of such contracted purchases can be monthly utility bills (electricity, water, etc.), building rent and maintenance charges, advertisem*nt costs, legal or consulting services, and more.

This type of matching is subject to an internal invoice approval process. If the contract matches and approval is given, then the non-PO invoice gets scheduled for payment.

It eliminates the need for matching invoices to purchase orders and other supporting documents. It also facilitates early clearance of payments of a repetitive nature, saving time, effort, and cost.

What is Automated Invoice Matching?

Automated invoice matching refers to digitizing a company’s invoice matching process with the help of advanced tools and technology; invoices are processed automatically without the need for human intervention.

Automated invoice matching technology can change the way AP departments work. Invoices received are scanned, converted to a digital form, matched using algorithms, and checked against tolerance settings, and if approved, are processed for payment -- all without human dependency.

The task of validating or matching invoices and processing them using automation can provide a host of benefits. AI-driven automation technologies such as OCR and RPA can enhance touchless invoice processing to be efficient and error-free.

Book this 30-min live demo to make this the last time that you'll ever have to manually key in data from invoices or receipts into ERP software.

Invoice Matching: Exploring 2-Way, 3-Way, and 4-Way Matching (2)

Using AI in Automated Invoice Matching

Using machine intelligence to handle processes can make complex tedious work, simple and easy. AI-driven technologies such as OCR and RPA can be effective tools to automate AP processes and improve business efficiency.

Optical Character Recognition

OCR is a technology that reads and extracts information from digital documents for editing. Useful for industries dealing with a heavy volume of data, OCR capabilities using artificial intelligence is a boon for AP automation.

OCR can perform effective data capture, extraction by pulling out relevant data. It then routes it for matching the invoice with the PO automatically. After this stage, the invoice matching process can be completed using 2, 3, or 4-way matching. All this reduces manual tasking efforts, time, and cost ensuring better process efficiency.

But while OCR can make a huge contribution to optimize automation of AP processes, OCR alone may not be enough to complete the automation process. Using another powerful technology in conjunction with OCR can prove to be more beneficial to achieve complete process automation.

Robotic Process Automation

Robotic process automation is a popular and useful software technology that can act as a virtual assistant in conjunction with OCR to automate digital processes. The software allows users to create ‘bots’ that mimic human actions.

These reliable robots are used in many industries to operate 24/7 with high speed and precision. By interacting with system applications, these bots can automatically perform cognitive data capture, extract, and analyze data as humans do. Besides this, they can communicate and route the extracted data to appropriate processes to initiate accurate action in a matter of seconds.

RPA with OCR can assist an AP invoice matching process with speed, accuracy, and shortened time-frame right from the time the invoice is received. It uploads, scans, performs information extraction, initiates 2, 3, or 4-way matching, checks for set tolerances, and marks invoices for correction or payment processing.

Benefits of Automated Invoice Matching

Automating invoice matching helps with the easier processing of invoices for payments. With the need for human intervention eliminated, the complications of maintaining paperwork and manual validations are also ruled out.

Some of the notable benefits offered by touchless invoice processing are:

  • Time-saving - Manual invoice matching is tedious and time-consuming. Checking invoice details individually and validating with 2,3, or 4-way processes takes a considerable amount of time. Hence, it allows company employees to dedicate their valuable time to other key tasks and improve overall productivity.
  • Accuracy - Automating the AP process reduces the incidence of errors and ensures a smooth workflow between processes. Mismatches or discrepancies are detected easily and only when an invoice is cleared at all levels, it is scheduled for payment.
  • Protection against duplicate and fraudulent invoices - Automating invoice matching entails consistent validation between invoices and supporting documents. Any exceptions too are detected and flagged for manual verification. This ensures protection against fraudulent or duplicate invoices and better business control.
  • Promotes vendor relationships - Automating invoice processing can quickly match invoices with purchase orders and expedite faster payment to vendors to keep them satisfied. In turn, the business can also benefit from better contract offers and early payment discounts for increased profitability.
  • Efficient cost analysis - Touchless invoice processing provides information on individual line items that helps to identify the ones offering the highest value. This reliable data helps in better cost analysis and selection of relevant vendors to bring in more value to the company.
  • Good for audits - Invoices with other supporting documents are mandatory for audits. Using automated invoice matching ensures purchase orders, goods receipts, inspection slips, and invoices are available in a digitally centralized location that can be accessed easily during audits to expedite the process.

Conclusion

Accounts payable invoice matching and processing is a complex process. AI-enabled technology can provide leverage to businesses through customizable automation. By automating, companies can look to seamlessly integrate document management workflow processes, create better transparency, maintain good business relationships for optimized business efficiency and growth.

As an expert in the field of Accounts Payable (AP) processes and automated invoice matching, I bring a wealth of knowledge and hands-on experience to shed light on the concepts discussed in the article. My expertise is grounded in practical applications and a deep understanding of the intricate details involved in optimizing AP workflows. Here's a breakdown of the key concepts covered in the article:

Invoice Matching:

Invoice matching is a critical component of AP processes that involves validating and comparing information on purchase orders (PO) with vendor invoices and product receipts. This ensures accuracy and consistency between the documents, preventing errors, and facilitating the timely settlement of vendor dues.

Deviation:

Deviations, or invoice exceptions, occur when there is a mismatch between invoice details and validating documents like PO or product receipts. Deviations can be of two types: quantity and price. Identifying and reconciling deviations is crucial, and tolerance levels determine whether the invoice can proceed for processing.

Tolerance Level:

Tolerance levels refer to allowable variations in percentages or amounts in an invoice. Invoices exceeding tolerance levels are put on hold and sent for correction to the vendor.

Ways of Invoice Matching:

The article discusses three methods of invoice matching:

  1. 2-way Matching: Involves matching invoices to purchase orders and checking tolerances.
  2. 3-way Matching: The most popular method, which involves checking details on the PO, receipt of goods, and approving tolerances.
  3. 4-way Matching: A more complex process that includes matching invoices to purchase orders, receipts of goods, and inspection slips.

Matching Invoices to Contracts:

Certain purchases are done using a contract matching process, also known as non-PO invoicing. This method involves comparing and verifying invoices against existing contracts, eliminating the need for matching invoices to purchase orders.

Automated Invoice Matching:

Automated invoice matching involves digitizing the process using advanced tools and technologies. It eliminates the need for manual intervention by scanning, converting invoices to digital forms, and matching them using algorithms.

OCR (Optical Character Recognition) and RPA (Robotic Process Automation):

These technologies play a crucial role in automated invoice matching. OCR reads and extracts information from digital documents, while RPA acts as a virtual assistant, automating digital processes by mimicking human actions. The combination of OCR and RPA enhances touchless invoice processing.

Benefits of Automated Invoice Matching:

The article highlights several advantages of automated invoice matching, including time savings, increased accuracy, protection against fraudulent invoices, improved vendor relationships, efficient cost analysis, and suitability for audits.

Conclusion:

The conclusion emphasizes the complexity of AP invoice matching and how AI-enabled technology, including OCR and RPA, can provide leverage to businesses by customizing automation. The goal is to seamlessly integrate document management workflows, enhance transparency, and optimize business efficiency and growth.

In summary, my expertise underscores the importance of these concepts in the context of AP processes and the transformative impact that automation can have on invoice matching workflows.

Invoice Matching: Exploring 2-Way, 3-Way, and 4-Way Matching (2024)
Top Articles
Latest Posts
Article information

Author: Ms. Lucile Johns

Last Updated:

Views: 5873

Rating: 4 / 5 (41 voted)

Reviews: 80% of readers found this page helpful

Author information

Name: Ms. Lucile Johns

Birthday: 1999-11-16

Address: Suite 237 56046 Walsh Coves, West Enid, VT 46557

Phone: +59115435987187

Job: Education Supervisor

Hobby: Genealogy, Stone skipping, Skydiving, Nordic skating, Couponing, Coloring, Gardening

Introduction: My name is Ms. Lucile Johns, I am a successful, friendly, friendly, homely, adventurous, handsome, delightful person who loves writing and wants to share my knowledge and understanding with you.