Forecast demand accurately using AI​

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• AI-driven forecast workloads using historical sales data, promotions, seasonality, weather, local events and other inputs.

• Anticipate busy hours before and after peak service times.

• Plan staffing needs per location and per shift.

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Staff the right people at the right time​​​

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• Estimate required number of employees to maintain service levels.

• Optimize the mix of employee skills across departments (cash desk, floor, stockroom).

• Account for different employee speeds and experience levels.

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Balance staffing across stores and shifts​

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• Reallocate, borrow, or lend employee hours across stores if needed.

• Cover unexpected absences and demand spikes.

• Optimize split shifts and task-based work during quieter periods.

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Support store managers, don’t replace them

 

• Suggest best shift changes for daily adjustments.

• Help managers handle last-minute changes.

• Experiment with business rules to improve staff allocation over time.​

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Supports role-based staffing (cash desk, floor, stockroom) and local labour rules.