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v1 • Stable

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.

Visualization By Shift
Visualization By Employee
Best Score Graph

Service quality

Shift assignments

Manage which employees should (preferably) be assigned and not assigned to certain shifts.

Resource-limited planning

DOCS

When 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

DOCS

Manage the number of assigned shifts and even spread the assigned shifts across periods of demand.

Employee satisfaction

Employee contracts

DOCS

Honor employee contracts and stay complaint with labor regulations.

Employee availability

DOCS

Only 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

DOCS

Assign 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.