Treat labour as the controllable cost it actually is.
Labour is usually a retailer’s largest controllable expense and its least understood. StoreCadence is AI-powered workforce management software that forecasts demand hour by hour, builds the roster to match, and proves the saving in your P&L, with the finance-grade business case to back it.
Free · No obligation · A reply within one business day, with the three data points we need to size your savings estimate
What is labour-cost optimisation?
Labour-cost optimisation is the disciplined reduction of labour cost as a share of sales without sacrificing service, by fixing the planning that drives hours rather than cutting headcount across the board. In StoreCadence it is done by AI-powered workforce management software, not a cost-cutting project: the platform forecasts demand, schedules to it, and measures the result against a baseline.
Crude labour cuts are easy to model and expensive in practice: they hit service, conversion and retention, and the saving quietly reverses. The durable saving comes from removing the structural mismatch between paid hours and demand, so you spend less to deliver the same or better service.
The platform quantifies that gap from your own POS and footfall data, sizes the opportunity conservatively, and frames it the way finance needs it: baseline, assumptions, sensitivity and payback. The result is a number your CFO can put in a plan and defend, produced by software you keep rather than a one-off study.
Four modules between your store data and a lower labour line.
AI demand forecasting
Machine-learning models read your POS, footfall and transaction data and predict demand for every store, hour by hour, including the paydays, weather and local events your planners never had time to encode.
Auto-scheduling
The optimisation engine turns each forecast into the lowest-cost, skills-matched roster that still covers every peak, inside the platform or feeding the WFM tool you already run.
Time, attendance & the employee app
Hours worked, leave and absence live in the same system that planned them, so the plan and the actuals never drift apart.
Baseline analytics
Every store is measured against the baseline agreed up front. The saving shows up in your P&L and your dashboards, not just in a slide.
Sold as a subscription, from USD 6 per employee per month, typically returning 2–11× the subscription in annual labour savings. Explore the platform → Compare packages →
A point or two of sales is the whole game.
In retail, labour runs anywhere from 8% to 21% of net sales depending on format. Shaving even a point of that, without losing service, is often worth more than a year of hard-won like-for-like growth.
The forecasting engine models the saving from your own data, store by store, then discounts it for risk. You see the conservative number and the upside separately, so finance signs off on a figure it can defend.
What would 4-13% be worth on your labour line? Estimate it in 60 seconds →
Across retail, labour runs from 8% to 21% of net sales by format. Shown here: a 2.3-point reduction, about a 14% cut in labour spend and the top of the 4-13% range we see. On $200m of sales that is roughly $4.6m a year; we size yours conservatively from your own numbers.
What the no-obligation scan gives you.
It starts with a free efficiency scan: we run your store data through the platform’s AI forecasting engine and give you a finance-ready read on the opportunity before you commit anything.
Free · No obligation · A reply within one business day, with the three data points we need to size your savings estimate
- Labour cost-to-sales read by store, format and daypart, benchmarked against comparable chains
- The size of the opportunity, with explicit assumptions and a sensitivity range
- A conservative business-case skeleton your finance team can pressure-test
- An agreed baseline, so any saving is auditable rather than theoretical
What good looks like.
Start with the benchmark instead.
See how chains like yours compare on labour cost-to-sales, roster-to-demand fit and forecast accuracy. We email you the annual report; the headline figures are published openly here.
Free report · No sales follow-up unless you ask
Labour-cost optimisation: common questions
Find your labour-cost gap in one conversation.
A no-obligation efficiency scan shows what the StoreCadence software would save you, on your own data: where your roster is leaking margin and what it's worth to fix, with a clear business case before you commit.