ApproachResults
Book a diagnostic
Solutions / Finance-facing

Treat labour as the controllable cost it actually is.

Labour is usually a retailer’s largest controllable expense and its least understood. We build the finance-grade business case: where it leaks, what the fix is worth, and how the saving lands in the P&L.

What it is

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. It starts from a baseline and a conservative business case, not a target pulled from a benchmark.

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.

We quantify the gap, size the opportunity conservatively, and frame 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.

Where the money goes

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.

How we size it

We model the saving from your own data, store by store, then discount it for risk. You see the conservative number and the upside separately, so finance signs off on a figure it can defend.

The efficiency scan

What the no-obligation scan gives you.

It starts with a free efficiency scan. For labour cost, that means a finance-ready read on the opportunity before you commit anything.

  • 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
Outcomes

What good looks like.

−4.8%
Labour spend across 340 QSR outlets with no increase in average wait time (illustrative).
<12 mo
Typical payback period on a conservatively scoped engagement (illustrative).
100%
Of the savings case tied to an agreed, measurable baseline (illustrative).
Questions, answered

Labour-cost optimisation: common questions

No. Across-the-board cuts damage service and tend to reverse. We reduce the mismatch between paid hours and demand, which lowers cost while protecting or improving service.
Deliberately. We use explicit assumptions, sensitivity ranges and a measurable baseline, so finance can trust and defend the number rather than discount it.
CFOs, finance directors and operations leaders who own the labour line and need a credible plan rather than a best-case model.

Find your labour-cost gap in one conversation.

A no-obligation efficiency scan gives you a numbers-first picture of where your roster is leaking margin, and what it's worth to fix. No software to buy. No commitment.

No obligation No software to buy A clear business case
Prefer to talk first?
K. Kropf
Founding Partner, MSc Computer Science