Forecasted demand feeds directly into the optimizer, providing the foundation for every scheduling decision.
Labor laws, employee availability, costs, and business rules are loaded as hard and soft constraints.
A MILP solver evaluates millions of configurations to find optimal schedules that satisfy all constraints.
Generates optimal shift patterns that match demand curves precisely, eliminating overstaffing and understaffing.
Compliant break placement within every shift, respecting jurisdictional rules and employee preferences.
Balances cost, compliance, coverage, and employee preferences simultaneously in a single solve.
Compare different scheduling strategies side by side before committing, so you always pick the best path forward.