EDIX Blocks
AI-Powered Staff Scheduling
& Optimization across
your Enterprise
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Better predictions through internal & external data fusion
Risk-based revenue and demand forecast with confidence intervals
Optimal redistribution of staff to minimize overtime expenses
Granular hourly-based optimization of shifts to meet demand hours
Multi-objective optimization of staff efficiency and costs
Constraint optimization per business rules & government regulations
Staff allocation based on existing capabilities & skills
Labor cost of revenue forecast and optimal staff size prediction
Reduction of Overtime Expenses & Idle Hours
Ensure that the right number of staff is allocated to meet hourly demand, maximizing demand coverage, and improving customer service.
Reduce excess and idle staff hours by properly redistributing shifts across the day and eliminating the need for significant overtime expenses.
Unify the staff scheduling process, removing bias and gut feeling, and offering better, consistent customer service across all enterprise locations.
Reduce the time spent on manual staff scheduling activities, allowing managers to focus more on customer service and store operations.