Why the warehouse slotting roi calculator matters
Pickers spend more time walking than picking, which makes slotting the cheapest productivity gain in most warehouses and the one nobody schedules. This page turns that decision into a handful of inputs you can defend in a budget review: volume, unit cost, rate of adoption, and time. The output is a planning baseline, not a promise — it tells you whether the idea deserves a vendor quote, a pilot, or a pass.
- • Biggest swing factor: hours actually recovered, which depends on travel share
- • Second-order factor: loaded hourly rate
- • Often ignored: how much of the reslot gets implemented before peak
What actually changes the answer
hours actually recovered, which depends on travel share moves this number first, then loaded hourly rate. Run a conservative case and an upside case before you commit. If the maths only works in the upside case, treat it as a time-boxed test with a kill date rather than a line in next year's plan.
What to do with the result
Reslot your top 20% of SKUs by velocity into the golden zone first. That single move usually delivers most of the modelled saving in a weekend.
FAQ
What does the warehouse slotting roi calculator work out?
It applies Net savings = (hours saved × adoption × loaded hourly rate) − tool cost to the values you enter for picker hours saved per month, fully loaded warehouse hourly rate, slotting software per month, reslotting project cost, share of the plan actually implemented. Pickers spend more time walking than picking, which makes slotting the cheapest productivity gain in most warehouses and the one nobody schedules.
How accurate is this warehouse slotting roi calculator?
Assumes recovered hours convert to lower cost or higher output. If you cannot reduce hours or ship more, the saving is theoretical. Replace the defaults with your own invoice, usage export, payroll data, statement, or vendor quote before making a commitment — the maths is exact, so the answer is only as good as the inputs you feed it.
Which input should I stress-test first?
hours actually recovered, which depends on travel share. Re-run with a pessimistic value for it; if the decision flips, that assumption is the thing you need real data on before signing anything. After that, check loaded hourly rate and how much of the reslot gets implemented before peak.
Which scenario should I start from?
Start with the preset closest to your situation — lean case, expected case, scaled case — then edit the sliders. Presets are realistic starting points, not benchmarks to match, and every change updates the result instantly.
What should I do after running the numbers?
Reslot your top 20% of SKUs by velocity into the golden zone first. That single move usually delivers most of the modelled saving in a weekend. A useful planning benchmark to compare against: Travel is 50–60% of manual pick time; good slotting cuts it 15–30%.
Can I share or save this calculation?
Yes. Your inputs are written into the page URL, so copying the link shares the exact scenario you are looking at — the person who opens it sees the same numbers. You can also export the inputs and results to CSV or PDF from the result card and keep it with the rest of your workings.
How this calculator is built
Independently maintained
Written by Sam Doshi and the RevenueLab editorial team. We don't sell the data feeds this tool is built on.
Sourced from primary data
Benchmarks come from public AdSense / Stripe / IRS disclosures and reader-submitted data — never third-party "$X per view" claims. Full methodology.
Last editorial review
Reviewed on a rolling quarterly cycle. Dated reviews are published on the methodology record for each calculator.
Editorial standards
See our editorial policy and disclaimer. Results are estimates, not advice.