# Manufacturer AP automation: stop retyping supplier invoices Source: https://www.digiparser.com/blog/vendor-invoice-processing [See all posts](/blog) Last updated on September 24, 2026 # Manufacturer AP automation: stop retyping supplier invoices Manufacturing Accounts payable Supplier invoices [![Pankaj Patidar](https://avatars.githubusercontent.com/u/17493609?v=4) Pankaj Patidar @thepantales ](https://x.com/thepantales) ![Manufacturer AP automation: stop retyping supplier invoices](https://cdnimg.co/676959fc-fff3-440b-8860-da6e53d455e3/acbd44ea-f17c-48b4-98a5-915c956364c9/vendor-invoice-processing-guide-cover.jpg) **Automate the invoice-entry work your team repeats every day.** Extract header fields and line items, review the output, and send it to the spreadsheet or configured accounting system you already use. Keep existing approval and payment controls. Make usable data your first milestone, then decide which additional steps deserve automation. ## Why usable data should be the first milestone Touchless processing is an ambitious goal. It depends on more than reading an invoice: supplier and item mapping, matching rules, exception handling and a working destination all matter. If your team is still retyping invoice data, start with that visible bottleneck. Our recommendation is to prove the extraction and handoff on your own documents before expanding the project. A reviewed spreadsheet may be enough for one team; another may need a configured accounting connection from the start. Choose the useful outcome, measure the work it removes, and build from there. ## What five minutes per invoice actually costs For this workload model, assume five minutes of entry per invoice and a fully loaded labour cost of $30/hour. Replace both inputs with your own measurements when planning a pilot. Monthly invoices Entry hours/month Entry labour cost/month 250 20.8 $625 500 41.7 $1,250 1,000 83.3 $2,500 The method is simple: multiply invoice count by five minutes and divide by 60 to get hours, then multiply the unrounded hours by $30 to get cost. This is baseline entry work only, the time someone spends typing data before any downstream review, matching or approval. Actual net savings depend on the review work that remains, plus setup and software costs. **At five minutes per invoice, 1,000 invoices consume about 83 hours of entry work every month.** ## A worked example: Example Metals invoice To see what extracted and reviewed data looks like, consider a fictional invoice from a supplier called Example Metals. The header contains: * **Supplier:** Example Metals * **Invoice number:** INV-204 * **PO reference:** PO-782 * **Currency:** USD The invoice has two line items: Description Quantity Unit price Line total Steel brackets 10 $30 $300 Mounting plates 5 $20 $100 Subtotal: $400. Example tax amount: $20. Total: $420. Compare these extracted fields with the source invoice before handing them to the next system. Confirm each quantity, unit price and total. An internal vendor ID or GL code requires a separate mapping if it is absent from the document. Keep the captured supplier name and PO reference available so the next step can identify the relevant records. The destination determines the handoff. An Excel tracker needs the right columns. An accounting import may need vendor IDs, currency codes and a specific line-item format. Test that handoff as part of the pilot, rather than stopping at an extraction preview. ## Run a practical pilot before scaling We recommend starting with about 20-30 invoices spanning several suppliers and layouts. Include difficult scans and non-PO invoices where they occur in your workload. The aim is to expose useful differences before expanding the process. Measure four things against the current manual process: * **Entry baseline:** how long manual entry takes for the same invoices. * **Review and correction time:** how long it takes to check and fix extracted data. * **Complete, usable outputs:** how many invoices contain the required fields and correct line items for the next step. Leave absent optional fields empty rather than inventing values. * **Destination errors:** how many records arrive incorrectly in the spreadsheet or receiving system. Compare the same workload. Keep existing approval steps in place. Record why outputs need correction: a poor scan, a missing field, an unclear instruction or a destination mapping problem calls for a different fix. If review and correction take almost as long as manual entry, improve the setup before scaling. If extraction is fast but the destination rejects the output, work on the handoff. A successful pilot produces usable data, not merely a successful file upload. ## What stays in the accounting workflow Extraction supplies document data. Matching, GL coding and posting follow the accounting process and its configured rules. Microsoft's Dynamics 365 documentation describes two-way matching as comparing invoice and purchase order prices. Three-way matching adds received quantities, with configurable tolerances for differences. These are downstream matching controls, not evidence that an extraction tool performs them. [Microsoft invoice matching overview](https://learn.microsoft.com/en-us/dynamics365/finance/accounts-payable/accounts-payable-invoice-matching). Microsoft also describes capture providers supplying machine-readable invoice metadata that feeds configured receipt matching and workflow submission. This illustrates the separation between getting data out of the document and acting on it in an accounting system. [Microsoft automated vendor invoicing overview](https://learn.microsoft.com/en-us/dynamics365/finance/accounts-payable/auto-vendr-invc-process). Who owns the pilot depends on the company. At a 23-person manufacturer, an office manager might compare outputs and report to the owner. In a larger firm, an AP owner may coordinate with an integration owner and a finance approver. Confirm who runs the work and who can approve a change; headcount alone does not supply the answer. ## Where DigiParser fits [DigiParser's invoice parser](/solutions/invoice-parser) extracts header fields and line items, supports comparison with the source, and provides CSV, Excel or JSON output and configured handoff options. A spreadsheet, internal app or accounting system can be the destination. Matching, GL decisions, posting and payment follow their separately configured processes. ## Frequently asked questions ### Do we need a new ERP to automate invoice entry? No. First check whether the current system accepts the required file format or has a suitable connection. Test field mapping and a sample import. A compatible export or configured connection can reduce entry work without replacing the ERP. ### Does extraction include matching? Not by default. Extraction produces structured invoice data. Comparing that data with purchase orders and receipts requires a matching process and access to those records. ### How do we measure whether the pilot works? Compare entry time, review and correction time, usable outputs and destination errors for the same representative invoices. Include setup and software costs when calculating net savings. The goal is less work per usable result. ## Make the first milestone a usable invoice Under our five-minute assumption, 1,000 invoices represent about 83 hours of monthly entry work. That gives a team with this workload a concrete starting point: extract the data, check the result and prove the handoff to the system it already uses. [Test representative invoices with DigiParser](/solutions/invoice-parser), measure the work that remains, and automate the next bottleneck based on what the pilot shows. For the other side of the order process, see our [customer purchase order worked example](/blog/customer-purchase-order-processing). Explore both document workflows for [manufacturing teams](/solutions/for-manufacturing). * * * [See all posts](/blog) Automate recurring documents next: [supplier invoice parser](/solutions/invoice-parser), [customer purchase order parser](/solutions/purchase-order-parser), and [extract data from PDF](/solutions/extract-data-from-pdf) hub. ## Transform Your Document Processing Start automating your document workflows with DigiParser's AI-powered solution. [Start Free Trial](https://app.digiparser.com/auth/join)[Schedule Demo](/contact)