Your production floor runs on precision. But the documents that keep it running, customer orders arriving by email, packing slips photographed on a phone, certificates of analysis from small suppliers, still get processed by hand.
Every PDF that sits in an inbox waiting for someone to re-key it into the ERP is a delay waiting to happen.
According to PwC’s 2024 Global Digital Procurement Survey (2024), the procurement process digitalization rate across industries stands at just 43%. That means the majority of procurement-related documents are still handled through manual data entry and paper-based workflows.
In manufacturing, where purchase orders, delivery notes, and supplier certificates flow in from dozens of sources every day, that gap translates directly into slower cycle times, higher error rates, and teams stuck doing data entry instead of managing operations.
This guide walks you through how to set up document automation for manufacturing, step by step, so you can stop re-keying data and start feeding your ERP automatically.
Key Takeaways
- Document automation for manufacturing focuses on extracting data from incoming documents (orders, packing slips, certificates) and routing it to your ERP, not on generating outbound documents
- EDI handles transactions with your largest trading partners, but a significant portion of documents arrive as PDFs, emails, photos, and paper that EDI does not cover
- Intelligent Document Processing (IDP) uses AI, OCR, and machine learning to read, classify, and extract data from unstructured documents regardless of format
- Setting up document automation starts with mapping your unstructured document flows, then connecting capture channels, extraction, validation, and ERP integration
- Manufacturers who automate purchase order processing see up to a 35% decrease in procurement cycle times
- The right document automation software should handle multi-format input, integrate with your ERP, and support human-in-the-loop validation
What is Document Automation for Manufacturing?
Document automation for manufacturing is the use of software to capture, read, extract, and route data from incoming operational documents into business systems like your ERP. Instead of employees manually re-typing information from customer orders, packing slips, delivery notes, and supplier certificates, the software processes these documents automatically and delivers structured, validated data to the right system.
Why EDI Alone Is Not Enough
If your organization has invested in EDI, you already know its value: standardized, automated data exchange with your largest trading partners. But EDI solves only part of the problem.
EDI covers your biggest partners, not your entire operation
EDI works well for high-volume, established relationships where both parties have agreed on transaction formats and invested in the integration. Your top 10 or 20 trading partners send purchase orders, invoices, and shipping notices through EDI, and those transactions flow into your ERP without manual intervention.
The reality is that most manufacturers work with far more than 20 partners. Smaller suppliers, regional customers, one-off vendors, and lab providers do not use EDI. They send documents through email, web portals, messaging apps, and phone cameras. These documents are just as critical to your operation as the ones that come through EDI, but they require entirely different handling.
The documents that fall through the gap
Consider what arrives outside your EDI channels on a given day:
- A customer emails a PDF purchase order with line items your team has to manually enter into the ERP
- A driver hands over a packing slip at the loading dock, and someone photographs it and posts it in Slack for manual verification before the shipment is approved
- A raw materials supplier sends a certificate of analysis as a scanned PDF attachment, and a quality team member has to check each value against specs by hand
- A small customer calls in an order, and a sales rep types it into the system manually, introducing the risk of transposition errors
None of these documents flow through EDI. They land on someone’s desk, in someone’s inbox, or in a Slack channel, and they depend entirely on manual effort to reach the ERP. This is the gap that document automation closes.
How To Automate Document Processing in Manufacturing: Step by Step
Setting up document automation is not a single software purchase. It is a structured process that starts with understanding your document flows and ends with validated data reaching your ERP. Here are the five steps.
Step 1: Map your unstructured document flows
Before you automate anything, identify every document type in your operation that is currently handled manually. Walk the floor. Talk to the teams who process orders, receive shipments, and check supplier certificates.
For each document type, record where it comes from (email, portal, Slack, paper), who handles it, what data gets extracted, where that data goes, and how long the process takes. You will likely find that a handful of document types account for the bulk of manual effort: customer orders, packing slips, delivery notes, and certificates of analysis.
Prioritize the flows that consume the most labor hours or create the most downstream delays. These are your first automation targets.
Step 2: Capture documents from any source
Manufacturing documents arrive through a wide variety of channels. Your automation setup needs a single intake layer that accepts documents regardless of how they arrive: as an email attachment, a scanned PDF, a photograph from a phone, a file uploaded through a customer portal, or a fax.
This capture layer standardizes the input. Whether someone emails a purchase order or photographs a packing slip at the dock, the document enters the same processing pipeline. The goal is to eliminate the manual step of “someone has to notice this document arrived and start processing it.”
Step 3: Extract and classify data with IDP
Intelligent Document Processing (IDP) is the core engine of document automation. It combines Optical Character Recognition (OCR), machine learning, and Natural Language Processing to do three things:
- Classify: Identify what type of document it is, whether a purchase order, packing slip, certificate of analysis, or invoice. Document classification software uses AI to sort incoming files automatically
- Extract: Pull the relevant data fields such as order number, line items, quantities, lot numbers, expiration dates, and supplier details
- Structure: Convert the extracted data into a structured format your ERP or business system can accept
IDP handles documents in any layout, language, or format. A handwritten packing slip, a multi-page PDF order, and a photographed certificate all go through the same extraction pipeline and come out as structured, machine-readable data.
Step 4: Validate and route to the right system
Extracted data needs a validation layer before it enters your ERP. This is where business rules and human-in-the-loop review come in.
Automated validation checks extracted data against predefined rules: Does this PO number match an existing customer? Are the quantities within expected ranges? Does the certificate of analysis meet the specs for this raw material? If the data passes validation, it moves directly to the next step. If a confidence score is low or a business rule flags an exception, the document is routed to a human reviewer for verification.
This approach keeps processing speed high while ensuring accuracy. Your team only reviews the exceptions, not every single document.
Step 5: Integrate with your ERP
The final step connects your document automation pipeline to your ERP (SAP, Microsoft Dynamics, Oracle, or whichever system you use). Validated, structured data flows directly into the correct module: sales orders into order management, PO receipts into procurement, supplier certificates into quality management.
This eliminates the manual step of placing orders or receipt data into the ERP, one of the most time-consuming tasks flagged by manufacturing operations teams. With a direct integration, the time between document arrival and ERP entry drops from hours or days to minutes.
Key Document Types Manufacturers Can Automate
Document automation in manufacturing is not limited to a single document type. Here are the highest-impact categories.
Incoming customer orders (PDF, email)
Customers place orders in many different formats: emailed PDFs, orders submitted through web portals, phone orders transcribed by sales reps, and spreadsheets. Each format requires different handling when processed manually, and the variety slows your team down.
With document automation, all incoming orders, regardless of format, are captured, extracted, and converted into structured sales orders ready for your ERP. Line items, quantities, delivery dates, and customer details are pulled automatically. This cuts order entry time from minutes per order to seconds and eliminates transcription errors that lead to wrong shipments.
Packing slips and delivery notes
Inbound shipments arrive with packing slips that need to be checked against the corresponding purchase order. In many plants, this process involves someone photographing the packing slip, posting it in a Slack channel or shared drive, and waiting for manual approval from one or more people before the goods are cleared for receiving.
Document automation captures the packing slip (whether scanned, photographed, or attached to an email), extracts item details, quantities, and lot numbers, and matches them against the open PO in your system. Discrepancies are flagged instantly instead of discovered hours later.
Supplier certificates and certificates of analysis
In food, pharmaceutical, and chemical manufacturing, every batch of raw materials comes with a certificate of analysis (CoA) or a supplier certificate that must be reviewed against specifications before the material can be used in production. Manually checking each value on a CoA, cross-referencing it with internal specs, and filing the certificate is a slow, error-prone process.
IDP extracts every data point from the certificate, compares values against your specifications, and flags any out-of-spec results. Compliant certificates are approved and filed automatically, while exceptions are routed for human review.
Invoices outside EDI
A portion of your supplier invoices arrives outside EDI channels, as emailed PDFs or paper. These need to be matched against purchase orders and receiving documents before payment. For a deeper look at how to automate this specific workflow, including two-way and three-way PO matching, see our guide on AP automation in manufacturing.
What to Look for in Document Automation Software for Manufacturing
Not all document automation software is built for the realities of a manufacturing environment. When evaluating solutions, focus on these criteria:
- Multi-format input: The software should handle PDFs, scanned documents, photos, emails, and any other format your documents arrive in. If it only works with clean digital files, it will not solve the problem
- IDP with machine learning: Look for software that uses OCR, machine learning, and NLP to classify and extract data, not just template-based extraction that breaks when a supplier changes their form layout
- Human-in-the-loop validation: Full automation without a review step is risky in manufacturing. The software should route low-confidence extractions to a human reviewer and learn from corrections over time
- ERP integration: Direct integration with your ERP (SAP, Dynamics, Oracle, or others) is essential. The extracted data should flow into the right module without manual re-entry
- Scalability across document types: You should be able to start with one document type (for example, customer orders) and expand to packing slips, certificates, and other documents without rebuilding the system
- Audit trail and compliance: Manufacturing operations require traceability. The software should log every document, extraction, validation decision, and system entry for audit purposes
How Doxis AI.dp Helps Manufacturers Automate Beyond EDI
Your EDI connections handle the structured, standardized transactions from your biggest partners. Everything else, the emailed orders, photographed packing slips, scanned certificates, and PDF invoices from smaller suppliers, still depends on manual processing. That is the gap Doxis AI.dp was built to close.
Doxis AI.dp is an Intelligent Document Processing platform that captures, classifies, extracts, and validates data from any incoming document, regardless of format or source. For manufacturers, this means:
- Automated order entry: Customer orders arriving by email, PDF, or portal are captured and converted into structured ERP-ready data without manual re-keying
- Packing slip verification: Scanned or photographed packing slips are matched against open purchase orders automatically, cutting receiving approval times
- Certificate of analysis processing: CoA values are extracted and validated against your specifications, with only exceptions routed for human review
- Multi-format document capture: PDFs, scans, photos, emails, and faxes all enter the same processing pipeline
- Direct ERP integration: Validated data flows into SAP, Microsoft Dynamics, Oracle, or your ERP of choice without manual entry
- Human-in-the-loop review: Low-confidence extractions are flagged for human verification, and the system learns from every correction
Stop re-keying data from the documents EDI does not cover. Request a free demo of Doxis AI.dp below or get in contact with one of our experts and see how document automation works for your manufacturing operation.
FAQ
Document automation in manufacturing is the use of software to automatically capture, read, extract, and route data from incoming operational documents (such as customer orders, packing slips, and supplier certificates) into business systems like an ERP. It eliminates manual data entry and reduces processing errors.
How is document automation different from EDI?
EDI is a standardized protocol for exchanging structured documents between established trading partners. Document automation handles the documents EDI does not cover: unstructured PDFs, emailed orders, photographed packing slips, and scanned certificates from partners who are not connected through EDI.
Which document types should manufacturers automate first?
Start with the document types that consume the most manual labor and cause the most downstream delays. For most manufacturers, that means incoming customer orders, packing slips and delivery notes, and supplier certificates of analysis.
Does document automation replace EDI?
No. Document automation complements EDI. EDI handles structured transactions with your largest trading partners. Document automation covers everything else: the unstructured documents that arrive by email, scan, photo, or fax from smaller suppliers, customers, and labs.
How does Intelligent Document Processing (IDP) work?
IDP combines OCR, machine learning, and natural language processing to classify documents, extract relevant data fields, and convert unstructured input into structured output. It learns from corrections over time, improving accuracy as it processes more documents.
What ERP systems does document automation software integrate with?
Most document automation platforms integrate with major ERP systems including SAP, Microsoft Dynamics, Oracle, and others through APIs or pre-built connectors. Look for software that supports your specific ERP and can map extracted fields directly to the correct modules.
How long does it take to implement document automation in a manufacturing plant?
Implementation timelines vary depending on the number of document types and ERP integrations involved. A focused deployment starting with one or two document types and a single ERP connection is achievable in weeks, not months. Additional document types are added incrementally.
What ROI should manufacturers expect from document automation?
ROI depends on document volume and current manual processing costs. Manufacturers who automate purchase order processing report up to a 35% decrease in procurement cycle times. Reduced data entry errors, faster order fulfillment, and lower labor costs on document handling contribute to a strong return within the first year.