Starter · Part of Workforce Management
Schedule Optimization
sub-spec 23E
Greedy interval-filling solver that takes your forecast + agent availability + skills + compliance rules and produces a coverage-maximizing schedule. Your scheduler shifts from "build the grid" to "refine and publish."
For the operator
The solver reads the Demand Forecasting output (23B), each agent's declared availability, their certifications and skills, and the active compliance rules — then iteratively fills intervals to maximize coverage against required headcount. You see the proposed grid, the residual coverage gaps it couldn't solve for, and the constraints that drove each agent's placement. Your day shifts from "build the grid from scratch every Friday" to "audit the proposal and unlock the edge cases the solver couldn't price in."
Business impact
Manual scheduling at scale is a structurally underpaid skill executed by your most expensive ops people — and the resulting grids consistently leave 3-7% of coverage on the table to over-staffing or wrong-skill staffing. Pushing the assignment math to a solver redirects that planner-hour back to capacity-planning work for new client wins, while tightening the schedule itself clips both over-staffed margin loss and under-staffed SLA exposure on the same edit.