The process of comparing an invoice with the corresponding purchase order (PO) and, in some cases, the goods receipt or other supporting documents to ensure accuracy and prevent errors. The goal is to match the details on the invoice, such as item descriptions, quantities, and prices, with the information on the PO and that the goods or services have been received as expected. This process helps prevent errors, fraud, and overpayments while ensuring timely and accurate payment to suppliers. Automated tools like NetSuite PO matching can further enhance this process by reducing manual efforts, improving accuracy, and ensuring compliance with organizational policies. There are three main types of invoice matching: 2-way matching, 3-way matching, and 4-way matching, each having its own unique process, benefits, and ideal use cases. The choice of matching type depends on the organization's needs, risk tolerance, and resource availability. Common challenges in the invoice-matching workflow include difficulty in accessing and comparing data across multiple documents, inconsistent data formats and units of measurement, high volume of invoices, inconsistent or inaccurate data across systems, lack of visibility and guidance for handling exceptions, managing multiple invoice formats, fraud and theft risks, creating exception handling workflows, adding missing invoice data from external sources, and supporting global invoice matching. To improve the workflow, automating data capture and extraction, using AI to automate invoice matching, setting up automated validation rules and tolerances, ensuring smooth data flow and collaboration, using AI to detect duplicate invoices and potential fraud, creating exception handling workflows, and adding missing invoice data from external sources are recommended.