Automating Order Processing Without Retyping or Errors

An order comes in. Sometimes neatly in the body of an email, sometimes as a three-page PDF, sometimes as a message saying 'just send 12 of those'. And then someone on your team retypes it into your system: look up the customer, match part numbers, enter quantities, add the delivery date. Automating order processing means removing exactly that retyping, not overhauling your whole business. This article covers where the time and money actually leak away, what you can and cannot automate, and how to start on Monday.

Why orders are still retyped by hand

You would think this was solved by now. It is not. Of Dutch companies with 10 or more employees, only 7 percent sold via EDI in 2024, the method where systems exchange orders directly (source: Statistics Netherlands, 2026). That figure has been flat for over a decade: it was also 7 percent in 2014. Selling via a website or app sits at 23 percent.

The reason is simple: EDI only works if both sides agree on the same standard. Large retailers can enforce that on their suppliers. Everyone else emails. Your customer is not going to change how they order because you find it more convenient. So if something has to change, it is your side of the line.

Where the time and money really leak away

Most owners calculate this wrong. They take the minutes retyping costs, multiply by an hourly rate and conclude it is not so bad. But the typing itself is the smallest leak. These are the four real ones:

• Waiting time. The order sits in a mailbox until someone has time. An order arriving at 9am and entered at 3pm misses today's run.
• Errors. One wrong part number or quantity means a wrong delivery, a return, a credit note, and sometimes a lost customer.
• Chasing. Half the orders are missing something: a size, a delivery date, an address. Someone emails back and waits a day.
• Being unfindable. As long as the order lives in a personal mailbox, nobody else can see what was agreed.

So count orders, not hours. A worked example (not a measured figure): say you process 40 orders a day and 1 in 50 goes wrong. That is about 4 bad orders a week. If each one costs you a return, a credit note and half an hour of sorting out, that is the most expensive part of your order process, and it appears nowhere in your books. For reference: labour costs per hour worked in the Netherlands averaged 48 euros in 2025 (source: Statistics Netherlands, 2025).

What you can automate

• Pulling an order out of an email: recognising the customer, extracting the lines, listing quantities and items.
• Reading PDF order forms, even when every customer uses a different layout.
• Matching part numbers against your own item list, including the names regular customers use.
• Checking what does not add up: unknown item, unusual quantity, price that differs from the agreement, delivery date in the past.
• Preparing a draft order in your system so someone only has to look and approve.
• Sending an order confirmation automatically once approved.
• Requesting missing details from the customer right away instead of tomorrow.
• Turning phone orders into a written draft, so your engineer is no longer working from a notepad.

What you should not automate

I will be honest, even though it means less work for me: some orders should be left alone. One hundred percent recognition does not exist, and a system that guesses is more expensive than an employee who retypes.

• Orders with unusual terms or negotiated prices that are not recorded anywhere.
• Custom and quotation orders where someone has to calculate first.
• First orders from new customers, you want a human checking credit and address.
• Rush orders with unusual delivery arrangements.
• Anything where the customer means something implicit, like 'same as last time, but the thicker one'.

The answer is not to filter those out and hope. You build in a threshold: if the system is confident, the order goes through as a draft. If it is unsure, it goes to a person with the question attached. That threshold is the whole design, not the technology around it.

What a working order flow looks like

• Step 1: Orders arrive at one address instead of five personal mailboxes.
• Step 2: The content is read out: customer, items, quantities, requested delivery date, notes.
• Step 3: Lines are matched against your item list and that customer's price agreements.
• Step 4: A check runs over it. All good: on to step 5. Something off: to a human, with the reason attached.
• Step 5: The order sits as a draft in your system. Someone looks and approves.
• Step 6: The customer automatically gets a confirmation with a delivery date, findable in your system rather than a mailbox.

What does it cost and when does it pay back?

That depends on how many shapes your orders come in. One fixed form from one large customer is a small project: 300 to 5,000 euros. Several customers each with their own order form, plus a connection to your own package, is a medium project: 5,000 to 12,000 euros. On top of that comes maintenance, because your item list and your customers change: a basic retainer runs from 100 to 750 euros per month, standard from 750 to 1,500 euros.

The five mistakes I see most

• Wanting everything at once. Start with the most common order type, not the exceptions.
• Starting with software instead of with your own orders.
• Building no approval step. Without it, it goes badly wrong once and trust is gone.
• A messy item list. If the same screw appears under three names, no system can match reliably. Cleaning that up is step zero.
• Nobody tracking the exceptions. Every order that went to a human is information.

How to start on Monday

• Take the last 50 orders exactly as they arrived: email, PDF, phone note, message.
• Sort them by shape and channel. Which group is largest?
• Count how many in that largest group follow exactly the same pattern.
• More than half? Automating is probably worth it. Less? Agree the ordering process with your biggest customers first.
• Start with that one group, including a mandatory approval step.
• Measure two things: how long an order takes from arrival to confirmation, and how many orders still need correcting.