Flagship report
The Retail Workforce Efficiency Benchmark.
Our signature owned dataset: how retail chains compare on labour cost-to-sales, roster-to-demand fit and forecast accuracy, by format and size. Headline figures are published here on-page; the full report goes deeper.
12-16%
typical range of labour cost as a share of sales across retail formats
20-35%
of scheduled hours commonly mis-timed against demand in chains before optimisation
4-13%
labour cost-to-sales reduction seen after demand-matched rostering
<70%
forecast accuracy of flat-template planning at the daypart level, versus 90%+ with learned models
What is inside
Where you stand, and where the best stores are.
The benchmark exists so targets are grounded in what comparable chains actually achieve, rather than a generic ideal. Publishing key figures openly is deliberate: useful data earns trust.
- Labour cost-to-sales distributions by format and store size
- Roster-to-demand fit, and the typical size of the mis-timing gap
- Forecast accuracy benchmarks: flat templates versus learned models
- How the highest-performing quartile organises store labour
- A self-assessment so you can locate your estate in the distribution
References
Sources and further reading
- EnterpriseSG and WSG, Jobs Transformation Map for Singapore’s Retail SectorSector context used to frame the benchmark for the Singapore market.
- Perdikaki, Kesavan & Swaminathan (2012), Effect of Traffic on Sales and Conversion Rates of Retail Stores (SSRN)Academic grounding for the labour-to-sales relationship the benchmark measures.
External links are provided for reference and do not imply endorsement. Figures attributed to StoreCadence are indicative; each rollout is measured against your own agreed baseline.
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