Customer service centers live on tight coverage targets, shifting call volume, complex contracts, and constant change. APOLLO Scheduler turns those constraints into an optimized schedule you can trust, without weeks of spreadsheet work or fragile rule chains.
It is built for planners and operations leaders who schedule 50 to 500+ agents across queues, skills, and channels, and who need outcomes that are predictable, compliant, and explainable.
Contact center managers who want stability, fairness, and fewer surprises
Teams replacing spreadsheets or legacy tools that cannot handle modern complexity
Workforce planners who need a reliable schedule engine
Operations leaders who need SLA confidence without cost blowouts
APOLLO Scheduler generates finished schedules by solving the real scheduling problem, not just applying rules one by one.
It takes your inputs (forecasted demand, agent availability, skills, contracts) and produces a schedule that:
Different centers define “best schedule” differently.
APOLLO Scheduler supports common optimization goals such as:
You decide what matters most, and how trade-offs should be handled.
APOLLO Scheduler uses Integer Linear Programming (ILP), a mathematical optimization method that finds the best schedule across many constraints at once.
In practice, this means:
Unlike rule-based scheduling, ILP does not get trapped in local “good enough” outcomes. It looks at the whole week, the whole workforce, and all constraints together to produce an optimal or near-optimal result.
Read more about ILP
