Start with exactly one real PDF order. PEDIF creates a structured result and shows whether an extended email test makes sense.
Many orders arrive as PDF or email. ERP, EDI and order-entry teams still need to read, review and transfer the content.
Reduce data entry time by 90% - eliminate manual errors and speed up your order-to-cash processes.
Here, PEDIF does not mean a new promise. It means the layer around PEDIF: receive order emails, sort documents, process known layouts and make unclear cases visible.
Many companies still type orders or use unstable OCR solutions.
All fields (customer, line items, prices, delivery details, etc.) are correctly extracted using Fingerprint. New layouts, missing information, or unclear fields are flagged as requiring clarification.
After successful checks, structured order data can be handed to the configured downstream workflow.
Recurring order layouts are configured, tested and approved for a defined customer, document and field scope.
Agreed order fields are captured as structured data and checked against defined required-field, format and plausibility rules.
Results can be handed to the target workflow through the formats and channels confirmed for the implementation.
Orders come directly into the system instead of sitting in the inbox.
Customer orders can be confirmed/delivered on the same day.
More orders do not mean more staff in order processing.
Secure hosting with ISO27001 certification and EU GDPR compatibility. Read more under: https://www.pedif.digital/en/security
Partners without structured EDI messages can keep sending PDFs; PEDIF prepares agreed data for the target workflow.
Save up to $4–7 per order. You can assess the cost and potential below.
You start with exactly one real PDF order. PEDIF creates a result and shows which fields were recognized, where clarification is needed and which next step makes sense.
If the first test fits, an extended test with up to 100 real order emails can follow. This step is not part of the first upload.
Is it an order PDF and which contents are business-critical?
Does the layout look recurring or is clarification needed first?
Which order numbers, line items, quantities, prices or delivery dates are recognizable?
Does an email test, expert discussion or no integration yet make sense?
The calculator is a non-binding first estimate. Values stay in the browser and are not transmitted as lead scoring or an offer.
The PDF to E-Order service is powered by PEDIF Fingerprint technology, which also supports the transformation of multiple document types fully converting them from PDF into structured electronic formats.
By expanding from PDF to E-Order to include other message types, you enable a fully digital and no-touch order cycle automating your entire business process from start to finish.
An order is rarely a one-off document. It is followed by changes, confirmations, deliveries and invoices that all refer back to it. The following sections explain what matters when incoming PDF orders are to be processed automatically.
A customer's PDF order shows the information in the customer's own language: their order number, their article numbers, their units and sometimes free-text remarks. The ERP, however, needs this information in its own terms: your customer number, your article numbers, your units and a delivery date in a defined field.
Automating PDF orders therefore means two things: capturing the values correctly from the document and translating them into the data your system understands.
Many customers order with their own article numbers or descriptions. Without a mapping, every order line has to be looked up manually. With customer-specific mappings maintained in one place, PEDIF can add your internal article number to each line. Lines for which no mapping exists are shown for review, and the mapping can be completed once so the next order runs automatically.
Changes to quantities or dates and cancellations often arrive as new PDFs or as short emails. They have to be matched to the original order so that the ERP is updated instead of creating a duplicate. Recognizing the reference to the original order is therefore just as important as capturing the order itself.
Once the order is in the ERP with the customer's order number, every following document can refer to it: the order confirmation, the delivery note and finally the invoice. For the customer, this means fewer queries, because their own reference appears on every document. For you, it means that the later steps can be matched automatically.
Orders often contain a requested delivery date for the whole order or different dates per line. Some customers also allow partial deliveries. These details have to reach the ERP in the right fields, because they drive planning, picking and the order confirmation. When they are captured as structured data, the confirmation can state realistic dates and the customer receives fewer surprises.
Customers sometimes order at outdated prices or with discounts that are no longer valid. If the order price is compared with the agreed price list during processing, deviations become visible before the order is confirmed. The order can then be clarified with the customer instead of leading to a corrected invoice later.
Orders often arrive in several places: personal mailboxes of sales staff, a shared order mailbox, customer portals or fax-to-email services. A first step towards automation is to route all incoming orders to one defined mailbox. From there, documents can be picked up automatically, assigned to the right customer layout and processed, while nothing gets lost in individual inboxes.
Large customers often send orders via EDI, while many smaller customers keep sending PDFs. With PDF order automation, both groups end up in the same structured order process. The ERP receives orders in the same format regardless of the channel, and the order desk works with one queue of exceptions instead of two different processes.
When recurring orders are created automatically, the order desk no longer spends its time typing. Instead, it handles the orders that actually need attention: unknown articles, unusual quantities, prices that deviate from agreements or delivery dates that cannot be met. These cases are visible in one place with the specific finding, which makes them faster to resolve and easier to hand over during absences or peaks.
PDF orders are especially widespread where many customers order regularly but only a few of them use EDI. Typical examples are wholesale and distribution, manufacturing suppliers, construction and building materials, medical and laboratory supplies, and service providers that receive work orders. In all of these, the same customers send orders in the same layouts week after week, which is exactly the situation in which automation pays off fastest.
Faster order entry also means faster feedback to the customer. When an order is created in the ERP shortly after it arrives, the order confirmation can be sent earlier, with the customer's own order number and realistic delivery dates. Customers notice this difference, especially when they order at short notice or depend on reliable delivery dates for their own planning.
When several people enter orders manually, each of them develops their own habits: where to put a remark, how to handle a missing delivery date, which unit to choose when the customer is unclear. Automated processing applies the same rules to every order, regardless of who is on duty. Deviations are handled according to agreed rules, and new team members do not have to learn every customer's peculiarities before they can work productively. This consistency also makes order data more reliable for planning, reporting and later analysis.
Useful figures are the share of orders created in the ERP without manual intervention, the time from receipt of the order to its creation in the ERP, and the number of queries caused by incorrect order data. Tracking these per customer layout shows which layouts are stable and which customers should be set up next.
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