Challenges

Store managers at numerous locations spend hours each week creating staff schedules due to the complexities of meeting constraints and determining optimal staffing levels based on hourly demand.
Yet, this process results in suboptimal schedules that lead to unnecessary overtime, reduced efficiency, and low employee satisfaction.

  • Inefficient and time-consuming manual scheduling process
  • High labor costs due to redundant staff overtime and downtime hours
  • Decentralized scheduling process leading to unmet business constraints and government regulations
  • Imbalanced workload distribution across staff members leading to employee dissatisfaction
  • Lack of AI-powered insights for validating hourly forecast of demand with hourly staffing levels

EDIX Value Delivered

Delivered Capabilities

  • Better predictions through internal & external data fusion
  • Optimal redistribution of staff to minimize overtime expenses
  • Multi-objective optimization of staff efficiency and costs
  • Staff allocation based on existing capabilities & skills
  • Risk-based revenue and demand forecast with confidence intervals
  • Granular hourly-based optimization of shifts to meet demand hours
  • Constraint optimization per business rules & government regulations
  • Labor cost of revenue forecast and optimal staff size prediction

Replaced Processes

  • Estimation of staffing levels based on average shift sales instead of hourly sales forecasts
  • Manual scheduling of over 50 weekly shifts using Excel spreadsheets
  • Decentralized scheduling process lacking integration of HR data with operational staffing information

Impact

  • 25%

    Reduction of Overtime Expenses & Idle Hours

Customer Benefits

  • Higher Efficiency

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

  • Lower Overtime & Payroll

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

  • Consistent Service

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

  • Significant Time Savings

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

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