Forecast sales and demand for each store to optimize staff planning across your enterprise.

Deploy staff effectively to match customer demand and reduce payroll costs.

Ensure optimal demand coverage and efficiency while reducing payroll and overtime expenses

Key Capabilities

  • 01

    Better predictions through internal & external data fusion

  • 05

    Risk-based revenue and demand forecast with confidence intervals

  • 02

    Optimal redistribution of staff to minimize overtime expenses

  • 06

    Granular hourly-based optimization of shifts to meet demand hours

  • 03

    Multi-objective optimization of staff efficiency and costs

  • 07

    Constraint optimization per business rules & government regulations

  • 04

    Staff allocation based on existing capabilities & skills

  • 08

    Labor cost of revenue forecast and optimal staff size prediction

Impact

  • 25%

    Reduction of Overtime Expenses & Idle Hours

Customer Benefits

  • 01

    Higher Efficiency

    Ensure that the right number of staff is allocated to meet hourly demand, maximizing demand coverage, and improving customer service.

  • 02

    Lower Overtime & Payroll

    Reduce excess and idle staff hours by properly redistributing shifts across the day and eliminating the need for significant overtime expenses.

  • 03

    Consistent Service

    Unify the staff scheduling process, removing bias and gut feeling, and offering better, consistent customer service across all enterprise locations.

  • 04

    Significant Time Savings

    Reduce the time spent on manual staff scheduling activities, allowing managers to focus more on customer service and store operations.

Case Study

EDIX minimizes staff overtime expenses and idle hours by 25% for a major QSR chain

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