What does a manually entered order really cost? A calculation method and the ROI of automation

The true cost of a manually entered order is the full processing time (reading, finding the items, checks, entry, acknowledgement, back-and-forth with the customer) multiplied by the team’s fully loaded hourly cost, plus the cost of the errors that reach the customer. Most companies underestimate it because they only count the typing. The method below lets you calculate it with your own figures, then work out the return on investment of automating it.

What people forget when they talk about “data entry”

Ask a sales admin assistant how long an order takes and they will think of the minutes spent typing lines into the ERP. Shadow them for a morning and you will see a very different chain of tasks:

• open the email, download the attachment, sometimes rotate a scan or zoom in on it;
• identify the right account (the customer who pays is not always the one who takes delivery);
• translate the customer’s product codes into internal ones, or find the item from a loose description;
• check the negotiated price, stock, credit limit, free-shipping threshold and pack size;
• enter the order, then send the acknowledgement;
• reply to the customer when a line is a problem, and go back to the order when they answer.

Add the interruptions. A ten-line order picked up three times between phone calls costs far more than its typing time. At an industrial supplies distributor, a one-line repeat order and a four-page site order full of unknown references have nothing in common. Hence the value of measuring rather than guessing.

Step 1: measure the real time per order

Pick a representative period, without any exceptional peak, and time a sample of orders from the first click to the acknowledgement. A few dozen are enough for a first estimate.

For each one, note:

• the format received (PDF, Excel, email body, scan);
• the number of lines;
• the total time, including exchanges with the customer;
• the issues encountered (unknown reference, price mismatch, out of stock).

Then sort the orders into two or three families (simple, standard, complex). The weighted average of these families gives you an average time per order that is far more reliable than a general impression.

Step 2: calculate the fully loaded hourly cost

The right figure is not gross salary but the total employer cost: salary, employer contributions, bonuses, and possibly a share of workstation and management costs. Divide it by the number of hours actually worked in the year, excluding holidays, absences and meetings.

Loaded hourly cost = annual employer cost ÷ annual productive hours

Step 3: put a price on errors

Go through your credit notes, returns and disputes from recent months, and isolate those caused by an entry error: wrong item, wrong quantity, wrong delivery address, price not matching the contract. For each, estimate what it cost: time spent handling the complaint, return and re-delivery, credit note or goodwill gesture.

Annual cost of errors = number of errors per year × average cost of an error

Step 4: list the indirect costs

Some costs are harder to quantify, but you should at least name them:

• confirmation lead time, which counts against a competitor who answers faster;
• overtime and temporary staff during peaks;
• time spent by sales reps re-keying their own customers’ orders;
• training new starters, who have to learn every customer’s quirks.

You can leave them out of the calculation to stay conservative and present them separately. They also weigh on each customer’s cost-to-serve.

A worked example, purely hypothetical

The figures below are made up to illustrate the calculation. Replace them with your own measurements.

Take an industrial supplies distributor that receives 40 orders a day by email, over 220 working days, i.e. 8,800 orders a year.

Direct time. Suppose the sample gives an average of 12 minutes per order, i.e. 0.2 hours. Over the year: 8,800 × 0.2 = 1,760 hours.

Hourly cost. Suppose an annual employer cost of €45,000 for 1,500 productive hours: €30 an hour.

Cost of time. 1,760 × 30 = €52,800 a year, or €6 per order.

Errors. Suppose one order in 40 contains an error that reaches the customer, i.e. 220 errors a year, at an average cost of €60 each: €13,200 a year.

Total. 52,800 + 13,200 = €66,000 a year, or €7.50 per order, excluding indirect costs.

Step 5: estimate the return on investment

Automation does not bring the time down to zero. Orders that meet the rules defined with you are processed automatically, and the team only handles what gets flagged: an unusual price, an ambiguous item, a credit limit exceeded. The calculation should therefore be based on the time that remains, not on an ideal.

Let’s continue the hypothetical example. If the average time spent per order falls from 12 to 3 minutes (only the checks remain), the company gets back 9 minutes × 8,800 orders = 1,320 hours, i.e. €39,600. If we apply to errors the 30% drop in entry-related disputes that we see at our customers, the saving is 13,200 × 30% = €3,960. The gross annual gain comes to €43,560.

Then compare it with the total cost of the solution, including set-up:

ROI = (annual gain − annual cost of the solution) ÷ annual cost of the solution

Payback period = set-up cost ÷ (monthly gain − monthly cost of the solution)

In this example, any solution whose annual cost stays well below €43,560 pays for itself in the first year. The simplest way to validate your own assumptions is to test how one of your orders is read, then measure the share of orders processed without intervention over a few weeks.

Common pitfalls

• Counting only the typing. It is often the smallest part of the time.
• Assuming full automation from day one. Allow time to check flagged orders, especially at the start.
• Ignoring data quality. A catalogue full of duplicates or out-of-date customer prices will slow down any solution.
• Turning every hour saved into euros saved. Freed-up time only has value if it is reallocated: absorbing growth without hiring, following up customers more closely, chasing quotes.

On our order entry page, we state 3 hours saved per day per sales admin employee: a ballpark figure to set against the result of your own calculation.

Frequently asked questions

How long does it take to enter an order manually?

It depends on the format, the number of lines and the quality of the references the customer sends. A one-line repeat order takes a few minutes; a site order with free-text descriptions can take much longer. The only reliable figure is the one you measure on your own orders.

Should I use gross salary or total employer cost?

Total employer cost, divided by the hours actually worked. Using gross salary over a theoretical full-time year significantly underestimates the hourly cost.

Does automation remove human control?

No. Orders are processed according to rules defined with each customer, and anything outside those rules is flagged to the team. You choose what goes straight into the ERP and what waits for validation.

How can I check my assumptions before committing?

First measure your current situation with the method above. Then test the solution on your real documents, including the hardest ones, and compare before-and-after times over a representative period.

Want to run this calculation on your own orders?
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