This Timefold Model exposes an API that helps your software assign employees to shifts. Our PlanningAI optimizes for employee availability, cost reduction, compliance, and employee satisfaction.




Service quality
Shift assignments
Manage which employees should (preferably) be assigned and not assigned to certain shifts.
Resource-limited planning
DOCSWhen there aren't enough people to cover all the work, schedule as much priority work as possible.
Skill, tags, risk factors
Define skills, tags, and risk factors to make sure shifts are assigned to employees with the right qualifications.
Demand-based scheduling
DOCSManage the number of assigned shifts and even spread the assigned shifts across periods of demand.
Employee satisfaction
Employee contracts
DOCSHonor employee contracts and stay complaint with labor regulations.
Employee availability
DOCSOnly assign employees to shifts when they are available, and take employee preferences into consideration when making assignments.
Fairness
Distribute work fairly across all employees.
Pairing employees
DOCSAssign specific employees to the same shift, for instance, when a trainer needs to train a trainee. Assign specific employees to different shifts from each other to avoid conflicts of interest.
Shift travel
Reduce the amount of time employees spend traveling to their shifts.
Shift sequence patterns
Define single and multi-day shift patterns.
Optimizations
Cost management
Keep the cost of staffing all shifts within budget.
Interested in learning more about how this model can help solve your optimization challenges? Talk to an expert.