Model the payback period and three-year net savings of moving from paper tags to electronic shelf labels. Deliberately conservative: it counts re-pricing labour only, and every assumption behind the number is published below.
Drag the sliders to match your numbers.
Labour-only model. Excludes pricing-error reduction, paper savings and dynamic-pricing margin uplift — those are upside, not part of this number. Indicative estimate, not a quotation.
Most ESL ROI calculators hide their constants. Here are ours, with the reasoning, so you can argue with them.
| Assumption | Value used | Why |
|---|---|---|
| Time per manual re-tag | 90 seconds | Counts the whole task, not the swap: generating and printing the batch, walking the aisle, finding the correct facing, removing the old tag, fitting the new one, and fixing errors found later. Timing only the physical swap is the single biggest source of inflated ESL business cases. |
| Labour reduction achieved | 85% | Electronic labels remove the re-tagging round, not every adjacent task. Staff still audit shelves, correct mis-mapped labels, replace damaged units and handle promotional signage that never sat on an ESL. |
| All-in cost per labelled position | US$9 | Label plus its share of gateways, software licensing and installation labour. Quoting the bare label price is the most common way a business case understates real capital cost. |
| Benefits counted | Re-pricing labour only | Pricing-error elimination, paper and consumables, and markdown margin uplift are real but harder to defend in a board paper. Leaving them out makes the number conservative by construction. |
Everything above collapses into one line. If you want to reproduce the result in a spreadsheet, this is all you need:
Worked example at the default settings: 12 × 9 ÷ (25 × 1.5/60 × 0.85 × 18) = about 11 months. Drop the wage to the US federal minimum of $7.25 and the same hardware takes roughly 28 months — on identical stores, identical labels.
Notice what is not in the formula: the number of stores and the number of labels. They cancel out. A bigger store buys proportionally more labels, but it also saves proportionally more re-pricing labour, so both sides of the ratio scale together.
The sliders for stores and SKUs still exist because they set the absolute size of the investment and the annual saving, which is what a finance team needs to see. But if you are only asking "how long until this pays for itself", the answer is decided by cost per label, price-change frequency and local wage — not by how big your estate is. The full derivation is in our guide on how to calculate ESL ROI.
Four sources of value are excluded. Each of them is genuine; none of them is in the figure above:
If the calculator already clears your hurdle rate on labour alone, these four make the case stronger. If it does not, they are where the rest of the case has to come from — and they need evidence from your own operation, not from a vendor slide.
This tool produces an indicative model, not a quotation, and not measured results from a specific deployment. Figures depend entirely on inputs you supply. For a costed model of your own network — including hardware mix, gateway count and integration scope — request a detailed assessment.
The four variables that actually decide payback, plus how statutory wage rates shift it across 13 jurisdictions.
Read the method →Label, gateway, software and installation broken out — the inputs behind the $9 assumption.
See the cost breakdown →Total cost, accuracy and labour compared over a five-year horizon.
Compare them →Size the gateway network your estate needs, with mounting-height correction.
Open the planner →If one of our assumptions does not match your operation, tell us and we will re-run the model with your numbers.
Talk to an engineerIt converts manual re-pricing labour into money, then divides the one-time hardware and software cost by that annual saving. Four inputs drive it: number of stores, labelled positions per store, price changes per label per year, and fully-loaded hourly wage. Four assumptions are fixed and published above: 90 seconds per manual re-tag, an 85% labour-reduction rate, $9 all-in per labelled position, and labour savings only.
Because a manual re-tag is not just the moment of swapping paper. It includes generating and printing the batch, walking the aisle, locating the correct facing, removing the old tag, fitting the new one and correcting mistakes found later. Timing only the physical swap produces payback figures that no retailer reproduces in practice.
Electronic labels remove the re-tagging round but not every related task. Staff still audit shelves, fix mis-mapped labels, replace damaged units and handle promotional signage that is not on an ESL. Assuming total elimination of re-pricing labour overstates the saving by roughly one sixth.
Four things, all of which are upside: elimination of shelf-versus-register pricing errors and the refunds and penalties they cause, paper and printer consumables, margin gained from faster and better-targeted markdowns, and labour saved on tasks beyond re-pricing such as stock-taking. The calculator counts re-pricing labour only.
It is arithmetically possible in a high-wage, promotion-heavy operation, but treat it as a stress-test signal rather than a forecast. Check your price-change frequency first: figures below a year usually come from over-stating how often each individual label actually changes. Published industry ranges cluster between 12 and 36 months.
Yes. The $9 per labelled position is an all-in figure covering the label itself plus its share of gateways, software licensing and installation labour. Counting the label price alone is one of the most common ways an ESL business case understates real cost.
Send us your store count, label mix and re-pricing cadence. We'll return a costed model with your numbers, including the items this calculator leaves out.
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