PIM ROI calculator

What manual onboarding
costs you a year.

Enter your volume, time per product and hourly cost. See what the work costs today, what the same work costs with AI-assisted onboarding, and the hours you get back. No email needed.

Calculator

Your onboarding, in hours and euros.

Start from the example and change what you know. The result updates as you type.

Your numbers

New products your team onboards from supplier data each year.

Finding, typing and checking one product by hand.

Salary plus overheads of the people doing this work.

How supplier data arrives

Sets the suggested review time. A PDF layout needs a closer check than a spreadsheet.

Assumptions5.5 min review per product, 3 months to full use

The person checking and correcting what the AI prepared. Suggested for mixed sources: 5.5 min.

At first only part of the volume goes through the new process. Changes the first-year figure only.

  • Machine timeAbout 12 seconds per product on the measured run. Not counted as staff time.
  • Working year1 FTE = 1,720 hours (215 days of 8 hours).
  • Software costNot included. Ask us for pricing for your volume.

Saved a year with AI-assisted onboarding

At full use

€48,750 a year

1,625 hours a year back for your team, about 0.9 FTE

Annual hours and cost, today and with AI-assisted onboarding
Hours a yearCost a year
Today, manual entry2,083€62,500
With AI-assisted onboarding458€13,750
Difference1,625€48,750
  • Annual figures at full use of the new process.
  • First 12 months, with 3 months of ramp-up: about €44,700 saved.
  • If your volume is 20% lower or higher (4,000 to 6,000 products): €39,000 to €58,500 a year.
  • Hours saved are capacity your team gets back, not a promised payroll cut.

Software cost not included. Ask us for pricing for your volume. Ask for pricing

Measured on a real supplier catalogue

48 pages, 80 products. Manual entry: 30 to 50 hours. AI extraction in openProd: 16 minutes, plus human review.

Source: openProd import test on real customer data, presented at Infoshare 2026. How we calculate

Email me the report

How we calculate

Simple arithmetic, nothing hidden.

Three numbers from you, two assumptions you can change, and one measured run to check them against.

The measured run

Measured on a real supplier catalogue.

48 pages, 80 products. Manual entry: 30 to 50 hours. AI extraction in openProd: 16 minutes, plus human review.

By hand that is 22.5 to 37.5 minutes per product. The AI extraction is about 12 seconds of machine time per product, not counted as staff time. Review time was not part of this measurement, so the calculator adds it from the Assumptions.

Source: openProd import test on real customer data, presented at Infoshare 2026.

The formula

  1. Today: products a year × minutes per product today / 60 = hours a year. Hours × loaded cost per hour = cost a year.
  2. With AI-assisted onboarding: products a year × human review minutes per product / 60 = hours a year, at the same cost per hour.
  3. Saved: today minus with AI, in hours and in money. It is never shown below zero.
  4. Capacity: hours saved / 1,720 working hours a year (215 days of 8 hours) = FTE.
  5. First 12 months: the saving × the average share of products on the new process while use ramps up evenly.

The assumptions

  • A person reviews every product. The AI extracts and maps the supplier data; the review time is that person checking and correcting the result. Suggested: 5 min for spreadsheets, 5.5 min for mixed sources, 6 min for PDFs, where a page layout needs a closer check.
  • Machine time is about 12 seconds per product on the measured run and is not counted as staff time.
  • Ramp-up: in the first months only part of the volume goes through the new process. It changes the first-year figure, not the annual figure.
  • 1 FTE = 1,720 working hours a year.

What is not included

  • Software cost, including AI processing. Ask us for pricing for your volume.
  • Time to set up the process, train the team and connect your systems.
  • Errors and rework downstream, and the value of products going live sooner.
  • Tax, salary changes and currency effects. Hours saved are capacity, not a promised payroll cut.
Ask us for pricing for your volume

Questions

Before you use the numbers.

How is the saving calculated?

Products a year times minutes per product today gives the hours your team spends now; times your loaded cost per hour gives the cost. The same products times the human review time with AI gives the hours and cost with AI-assisted onboarding. The saving is the difference, in hours and in euros. Capacity in FTE divides the hours saved by 1,720 working hours a year.

Where do the time figures come from?

From an openProd import test on real customer data, presented at Infoshare 2026. 48 pages, 80 products. Manual entry: 30 to 50 hours. AI extraction in openProd: 16 minutes, plus human review. That is 22.5 to 37.5 minutes per product by hand; the default of 25 min is near the low end of that range. Replace it with your own time per product.

Why is review time counted when the AI does the extraction?

Because a person still checks every product. The AI extracts and maps the supplier data; the review time is that person checking and correcting the result. The default is 5.5 min per product for mixed sources (5 min for spreadsheets, 6 min for PDFs). The AI extraction itself took about 12 seconds per product on the measured run; that is machine time and is not counted as staff time.

Why is the software cost not included?

Pricing depends on your volume and on the sources you work with, so the calculator shows only the work: what it costs today and what the same work costs with AI-assisted onboarding. Ask us for pricing for your volume and set it against the saving.

What does the ramp-up change?

In the first months only part of the volume goes through the new process. The annual figures assume full use; the first-12-months line takes the ramp-up into account, with use growing evenly until the month you set.

What if reviewing takes as long as entering a product by hand?

Then the calculator says no time is saved. It never shows a saving below zero and never more than your current cost. If your products need long checks after extraction, enter that review time in the Assumptions and see the result honestly.

Are hours saved the same as money saved?

Not necessarily. Hours saved are capacity your team gets back for other work, not a promised payroll cut. The euro figure values those hours at your loaded cost per hour.

What happens to my email address?

Nothing unless you request the report. The results never need an email. If you request the report, we use your email, and your name and company if you add them, to send it, and our team receives a notification of the request with those details. Share links contain only your numbers, never contact details or results.

Report

Your numbers, to take with you.

Get a PDF of your current scenario. Your result is already on this page; the report adds nothing you have to unlock.

  • Cost today, with AI-assisted onboarding, and the difference
  • Your numbers, the assumptions and the measured run
  • Recalculated on our side from your inputs

Get your scenario report

A PDF of your numbers, the result and how we calculate it, sent by email. Only your email is required.

Lemonmind sp. z o.o. (Gdańsk, Poland), the company behind openProd.io, uses your details to send you the report you asked for and follow up on this request, based on its legitimate interest (Art. 6(1)(f) GDPR). Your rights, retention and contact: Privacy Policy.

Check it with your own supplier files.

In a demo we take one of your files through openProd, so you can measure the time instead of estimating it. We also give you pricing for your volume.