Order Entry Automation: Turning Emails, PDFs and Voice Notes Into Orders

Order entry automation turns the orders your customers send, emailed POs, PDFs, spreadsheets, WhatsApp messages and voice notes, into sales orders in your ERP without anyone retyping them. A model reads the order, each line is matched to your catalog and the customer's terms, the system drafts the order, and a person approves it before it's written. Reading is the easy part now. The work is in matching ("send me milk": which milk?), merging several messages into one order, and writing safely into the ERP. Here is how that works in practice, from a voice-to-order engine we built and the document pipelines around it.

---

Where orders actually come from

Ask a customer service team how orders arrive, and the answer is rarely "through the portal." It's usually all of these:

• An email body. "Same as last week, plus two cases of the red."
• A PDF purchase order, in the customer's layout, not yours.
• A spreadsheet attachment with the customer's own product codes.
• A WhatsApp message or a voice note, sometimes several in a row.
• A phone call, written down on whatever was nearby.

Each channel needs reading. All of them need the same thing next: turning what the customer said into lines your ERP understands.

Reading the order is the easy part

Models now read email bodies, PDFs and phone photos well. On a book of 13,000 real claim documents, most of them phone photos, a model reading the page image got the invoice lines right on 96% of invoices. Voice is solved too: for Qortex, a retail platform in the UAE, Whisper transcribes voice notes in Arabic, English or both, and running transcriptions in parallel per conversation made them 30 to 47% faster.

So if a vendor's demo shows a PDF turning into text, that's not the hard part. Ask about what comes next.

Matching is the hard part

The words in an order rarely pin down a product. "Send me milk." Full-fat or low-fat? Which brand, which size? The answer usually isn't in the message. It's in what that customer always orders.

In the voice-to-order engine we built for Qortex, each order line is matched against that merchant's own catalog, and ambiguity is resolved the way a good order clerk would:

• Rank the likely products from the customer's standing order guide, the list of what they usually buy.
• Ask a short question when confidence is low, instead of guessing.
• Suggest a substitute when the usual item is out of stock, so the order still goes through.

The same applies to emailed POs: the customer's product code, your code, pack sizes ("2 cases" against a price per bottle) and the customer's negotiated prices all have to line up before an order is right.

Several messages, one order

Customers don't send one tidy message. They send a voice note, then a text with a correction, then another voice note with something they forgot. Process each one independently and you get three conflicting orders.

In Qortex's engine, the hardest engineering wasn't transcription. It was ordering. A task queue processes each conversation's messages in strict sequence, merges consecutive messages into one order, and keeps matching consistent with the merchant's live stock. Several voice notes become one correct order, not several wrong ones.

If your orders arrive by email, the same problem shows up as "please change my order from this morning." Ask how the system recognizes an amendment.

Writing into the ERP, safely

A drafted order still has to reach your ERP. That means its API where there is one, an import where there isn't, and sometimes a staging table that a person releases. Three rules we follow:

• A person approves before the ERP is written. The draft shows exactly what will be created, line by line, with anything uncertain highlighted.
• Uncertain lines are flagged, not filled. A blank a person completes is better than a confident wrong product.
• Every order keeps its source. The original email, PDF or voice note stays attached, so anyone can check what the customer actually said.

As accuracy is proven on your real orders, approval gets lighter: first every order, then only orders with flagged lines.

Buy or build?

There are good order entry automation products. Buy one when most orders arrive as emailed PDFs, your ERP is one the vendor connects to, and matching is mostly product codes.

Build, or build the missing piece next to a product, when:

• orders arrive by WhatsApp, voice or free-text email more than by PDF;
• matching depends on each customer's habits, pack sizes or negotiated prices;
• your ERP is old, custom, or not on the vendor's list;
• you need the same pipeline for quotes and invoices, not just orders.

What it costs

Model usage is a small line. Reading about 6,500 invoices cost us $12.68 in total. The budget goes into the integration: the channels, your catalog and customer data, the ERP write and the approval screen.

Our published prices: $2,300 to $4,700 to scope one order flow, and from $17,500 for a first workflow in production, then from about $470 a month to run it.

Questions to ask any order entry automation vendor

• Will you run it on our real orders, from every channel we receive them on?
• How do you match lines to our catalog, including customer codes, pack sizes and customer-specific prices?
• What happens with an ambiguous line? Does it ask, flag or guess?
• How do you handle an amendment to an order already received?
• Which ERPs do you write to, and how: API, import, or a person re-keying?
• What share of orders goes through untouched after three months, and how do you measure it?

Related: How to automate data entry, Transcribing mixed Arabic-English voice messages, and Voice to CRM.