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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. All figures shown are illustrative placeholders pending the firm own published data.

12-16%
typical range of labour cost as a share of sales across retail formats (illustrative placeholder)
20-35%
of scheduled hours commonly mis-timed against demand in chains before optimisation (illustrative)
3-8%
labour cost-to-sales reduction seen after demand-matched rostering (illustrative placeholder)
<70%
forecast accuracy of flat-template planning at the daypart level, versus 90%+ with learned models (illustrative)
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
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Prefer not to share details? The headline figures above are free to use with attribution.

References

Sources and further reading

External links are provided for reference and do not imply endorsement. Figures attributed to StoreCadence on this site are illustrative placeholders pending the firm's own published data.

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K. Kropf
Founding Partner, MSc Computer Science