For many back-office and customer service teams, order entry is still a sequence of copy-paste operations from emails, attached PDFs, and B2B portals into the company ERP. A workflow that doesn't scale, generates errors, and slows down customer response times.
Which order do we mean?
The buyer sends a purchase order. For the supplier receiving it, that document is a customer order to validate and enter as a sales order in the supplier's ERP. This guide follows the supplier's back-office workflow.
In this guide we look in detail at how customer order automation works, which documents can be processed, how it integrates with major ERPs, and which criteria to use when choosing the right solution for your company.
1. Why Manual Order Entry Is Still a Problem
Despite digitalization having touched almost every business process, incoming order management often remains manual. The reasons are historical: customers send orders in different formats (PDF, Excel, structured emails, digitized faxes), and building a point-to-point EDI integration for each customer is expensive and inflexible.
The result is a process that still looks like this:
- The customer sends an order via email with an attached PDF
- The operator opens the PDF, reads it, opens the ERP
- Manually types each line: item code, description, quantity, price, delivery address
- Saves the order, sends confirmation to the customer
- The manager reviews and approves
The hidden costs of this process are significant:
- Operational time: every line retyped and checked consumes back-office capacity
- Typing errors: incorrect item codes, quantities and addresses can cause returns and corrections
- Bottleneck during peaks: the capacity to process orders is limited by available staff, not by demand
- Lack of traceability: difficult to reconstruct who entered what and when
2. How Customer Order Automation Works
An automation system captures order documents received from customers, proposes structured line data and prepares them for sales-order creation in the ERP. Uncertain or inconsistent fields need review before posting.
The core of the system is an Artificial Intelligence engine trained to:
- Recognize the document as a customer order, regardless of format
- Extract key fields: header (customer, date, order number, delivery address), lines (item code, description, quantity, price, unit of measure)
- Normalize the data: map customer item codes to internal codes, apply correct price lists, handle specific business rules
- Flag exceptions: unrecognized codes, anomalous quantities, price discrepancies — before they reach the ERP
AI can handle varied layouts better than fixed-position rules. New formats, customer item codes and ambiguous cases still need testing on real documents and human review when the result is uncertain.
3. Which Documents Can Be Processed
The formats to evaluate depend on the channels your customers actually use. A project may include:
- Structured PDFs (generated by the customer's ERP software)
- Scanned PDFs (paper documents photographed or scanned)
- Excel and CSV files with order line tables
- Free-text emails, where the order is written in the body of the message
- Images (JPG, PNG) of printed orders
- EDI and XML streams for more structured customers
Verify which formats the selected solution supports and test the hardest documents before designing the import flow.
4. How to Connect the Workflow to Your ERP
ERP integration is the critical point of any order automation project. The most common methods are:
Native APIs
Where the ERP exposes suitable APIs, the workflow can submit approved data and record the outcome. Check permissions, required fields and error handling in the specific system and version.
Structured file import
If the ERP supports structured imports, approved data can be prepared in its required format. Upload and confirmation depend on the available process.
Compare the options for your case: available checks, confirmation of posting, duplicate handling and maintenance when required fields change.
Explore the available integrations and ERP connectors supported by Typelens: Typelens Integrations and APIs
5. The End-to-End Operational Flow
Here is what the process looks like with an active automation solution:
- Automatic receipt: the order arrives via email, B2B portal, or shared folder and is captured without human intervention.
- Classification: the AI engine recognizes the document as a customer order and separates it from any other attachments (confirmations, shipping instructions, etc.).
- Data extraction: configured fields are proposed, with uncertain readings identified for review.
- Validation and matching: item codes are matched to the internal catalog; discrepancies are flagged for review.
- Sending to ERP: approved data is transformed into the ERP's required format; uncertain data remains in review.
- Customer confirmation: the team can use the recorded order to prepare a response through its commercial process.
The workflow aims to reduce retyping; uncertain cases and records outside the approved rules still need review.
6. Example: from customer PO to ERP
Illustrative example: a customer sends a PDF with three order lines using its own item codes. The supplier's back office must match them to its catalogue, check quantities and delivery address, and create a sales order in the ERP.
- The system captures the PDF and proposes structured header and line data.
- Customer item codes are compared with available internal master data.
- A line without a match is held for review alongside the source document.
- Once checked, approved data is sent to the ERP as a customer order.
Success means less retyping without creating incorrect orders. Measure time per order, lines approved without intervention and exceptions by cause on your own document sample.
7. How to Choose an Order Automation Solution
Not all solutions are equal. Here are the key criteria to evaluate before choosing an automated order import platform:
Format handling
List the PDFs, emails, spreadsheets and other formats you actually receive. Ask for a trial on variable layouts and poor-quality files rather than assuming that every format is handled equally.
Accuracy and confidence score
Ask how uncertain fields are highlighted and how an operator can correct them before the ERP receives the order. Define which errors always require review, even if extraction appears reliable.
Integration with your ERP
Verify that pre-configured connectors exist for your ERP. A native API integration is preferable to file-based solutions because it is faster, traceable, and less prone to synchronization errors.
Exception handling
Verify that exceptions can be reviewed and corrected clearly, and that the decision is traceable before the order is created.
Scalability and pricing
Evaluate the pricing model: per processed document, per monthly volume, or flat fee. Verify that the solution handles seasonal peaks without performance degradation or unexpected costs.
Security and traceability
Every processed order should have a complete log: who did what, when, with what confidence level. This is essential both for internal audits and for handling any disputes with customers or suppliers.
Conclusion
If customers still send orders by email or PDF, start with a representative sample. Measure entry time, errors and exceptions, then assess how many lines can reach the ERP after review proportionate to the risk. The back office can focus on decisions that require knowledge of customers and products.