Demand Scheduling⏱️Behavior Analytics


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In NRF 2025, a senior workforce manager said on stage, "Maybe we should ensure that the store staff uses 80% of their time for sales and 20% for tasks”.

I almost cried.

Many retailers still calculate payroll hours based on sales rather than opportunities. Worse, many still view payroll as a fixed cost.

Yet today,

You should use Demand Scheduling.

Demand scheduling for stores is the secret to helping managers:

  • Optimize payroll hours (prevent overstaffing and understaffing)
  • Improve employee productivity (rapid response to events)
  • Scheduling to demand-based operations and opportunities.

With *Service Intensity*, you sync payroll hours and staff schedules with the predicted foot traffic to the store.

With *Service Success*, you measure local staff activities against demand fluctuations and continuously align payroll with performance.

Demand-driven scheduling improves workforce management.

Most importantly,

Scheduling to demand improves employee satisfaction and customer experience.

I wrote a 2,459-word blog on Demand Scheduling: Avoid Self-Fulling Failures in Calculating Store Payroll.

Thanks to Dr. Daniel Martinho-Corbishley and Aura Vision 😊

Cheers,

P.S. Got a question about Demand Scheduling? Hit reply.

Behavior Analytics helps **Store Optimizers** to Amplify Store Performance.

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Behavior Analytics with Ronny Max

I help retailers, brands, and technology companies to design store solutions and in-store experiments.

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