Our solution

Automated Employee Scheduling

Automated scheduling for regulated industries. CP-SAT solver alongside your existing system, on-premise deployment, results in minutes.

The challenge

Too many variables for manual scheduling.

Qualifications, activity cycles, minimum legal rest, fairness between agents: a human scheduler juggles hundreds of simultaneous constraints. At this scale, only an algorithm can guarantee a reliable, fair and compliant result.

< 5 min
for a complete monthly schedule
Cross-qualifications

Too many combinations for a spreadsheet

Dozens of staff members, cross-qualifications, thousands of combinations. No spreadsheet can explore this space.

31 days
distinct daily requirements covered each month
Variable requirements

Requirements that change constantly

Activity cycles dictate staffing requirements, which vary daily. The algorithm recalculates optimal coverage without any omission.

100%
of legal constraints verified
Legal constraints

Rules impossible to verify manually

Minimum rest, consecutive days, guaranteed weekends, contracted hours, collective agreement. Unrealistic to verify manually for every agent.

Our solution
Mathematical optimisation

A constraint resolution solver, not a heuristic.

Planopti is built on CP-SAT, Google OR-Tools' constraint optimisation solver. Open-source and used in production across the industry, CP-SAT mathematically explores all possible combinations and returns the best solution that satisfies all your constraints. No generative AI, no approximate heuristics. Deterministic combinatorial optimisation: the same dataset always produces the same result.

  • Hard constraints: minimum rest, required qualifications, public holidays and absences
  • Soft constraints: maximum coverage, fairness, rest day grouping
  • Transparent score: you see exactly what the solver prioritised
  • Explicit status: OPTIMAL, FEASIBLE or INFEASIBLE at every resolution
Manual
Planopti
Schedule generation
3–5 days
< 5 min
Constraints verified
Partial
100%
Fairness between agents
Approximate
Guaranteed
Result
Variable
Deterministic
Multi-activity

One solver, all your activities.

Healthcare, security, logistics, transport, maintenance, coordination: each activity has its own qualifications, its own shifts, its own regulatory constraints. The CP-SAT engine adapts to your operation and generates the optimal schedule regardless of your industry.

  • Modelling adapted to each operational activity
  • Qualifications, certifications and refresher training accounted for
  • Coverage requirements and regulatory rest periods respected
Your dashboard

Everything managed from a single interface.

Our dashboard centralises the complete management of your data, operational requirements and specific restrictions. It provides an Excel import feature for rapid setup and simplified integration.

  • Edit data directly from the dashboard
  • Or import an Excel file: the tool extracts what it needs automatically
  • Adjust the generated schedule directly on the grid
How it works

Your data, our engine, your schedule.

The process is fully automated and runs on-premise, on your own infrastructure.

01
Your data

Your planner enters staff, requirements and constraints into the dashboard.

02
Modelling

The engine translates your business rules into a mathematical model ready for resolution.

03
Resolution

The solver explores combinations and returns the optimal schedule in real time.

04
Result

The schedule appears on the dashboard, ready to be reviewed, adjusted and exported.

Ready to optimise your scheduling?

Tell us about your operation. We will show you how constraint programming can solve your specific challenges.