Discover the new way of planning.
Built to solve the problem at once.

Easy integration
Saves up to 92% of scheduling time
Enterprise support

From Forecast to Finished Schedule.

APOLLO Scheduler is built for planners who manage complex workforce schedules under constant pressure.
It turns forecasts, rules, and constraints into finished schedules that are consistent, compliant, and ready to publish.

APOLLO does not replace your planning expertise. It removes the manual effort that slows you down.

Built around the planner’s reality.

Planners operate in an environment where complexity is the norm. Forecast changes, labor rules, skills, availability, preferences, and fairness requirements all collide in one schedule. Managing this manually leads to compromises, late nights, and fragile outcomes.

APOLLO evaluates all constraints at the same time using advanced optimization. Nothing is simplified, ignored, or handled as an afterthought.

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Scheduling that works for the people using it.

For planners, scheduling often turns into firefighting. One change triggers ten fixes, and the day is spent repairing yesterday’s plan.

APOLLO Scheduler takes that pressure away. It automatically adapts schedules when demand changes or people become unavailable, while respecting skills, rules, and preferences. Planners stay in control, employees get fairer and more predictable schedules, and managers see coverage they can trust.

Less manual work. Fewer surprises. More confidence for everyone involved.

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Don’t listen to us.
Let our customers convince you.

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“Before APOLLO, planning owned my week”

“I plan schedules for a large team. My job is to make sure we hit service levels while staying within contracts, availability, and skills. On paper, that sounds manageable. In practice, it meant spreadsheets, manual checks, and constant rework.”

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“From manual planning to controlled outcomes”

“As a planner, my role is to balance demand, availability, skills, and labor rules. The challenge is not understanding the rules, but applying all of them at once, every time.”

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“Now I plan decisions, not shifts”

“My responsibility is to turn forecasts into workable schedules while respecting contracts, skills, and availability. The complexity is not optional, it is the job.”

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Planner Before vs After APOLLO

Before APOLLO Scheduler

Best-effort scheduling
The planner starts with a forecast and a long list of rules.

They build the schedule step by step:

  • Assign agents manually or with simple automation
  • Check coverage, then fix gaps
  • Resolve contract and labor issues
  • Adjust for skills, preferences, and fairness
  • Re-check everything after each change

When something changes:

  • Absence, volume shift, or rule update
  • Parts of the schedule must be rebuilt
  • Fixing one issue often creates another

Result

  • Time spent validating instead of planning
  • Constant manual corrections
  • Uncertainty about whether the schedule is truly optimal
  • High effort as complexity increases

After APOLLO Scheduler

Optimized scheduling with ILP
The planner defines the rules once and imports the data.

APOLLO does the rest:

  • Evaluates all constraints at the same time
  • Guarantees compliance with labor rules and contracts
  • Optimizes coverage, cost, and fairness together
  • Clearly balances preferences where trade-offs exist

When something changes:

  • New forecast, availability update, or rule change
  • APOLLO recalculates the full schedule
  • The planner reviews the result instead of rebuilding it

Result

  • Confidence in the outcome
  • Minimal manual rework
  • Predictable schedules, even in complex environments
  • More time for planning, not fixing

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