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Optimize complex workforce scheduling with AI

Automatically schedule, route and task employees while optimizing for resource efficiency, compliance, fairness, skill matching and more. One API call away. 

Optimize complex scheduling with PlanningAI

Transform workforce efficiency


PlanningAI is a type of AI designed specifically to automate and optimize complex planning and scheduling tasks, and to satisfy the constraints of planning problems. Instead of just automating simple, repetitive tasks, it helps you make better decisions by sorting through countless possibilities to find the best solutions . Optimizing your scheduling saves you time, reduces costs, and improves efficiency. 

Our planning models combine multiple building blocks, including:

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AI-optimized scheduling

Automatically assign the right employees to the right shift, while optimizing for resource efficiency, compliance, fairness and more.

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AI-optimized task assignment

Automatically assign the right task to the right employee, optimizing for optimal skill matching, dynamic workload balancing, fairness and more. 

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AI-optimized vehicle routing

Solve complex vehicle routing problems & optimize for travel time, multi-resource coordination and more.

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Manage planning constraints

Manage planning constraints like compliance, availability & preferences, while optimizing for business objectives

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Dynamic, real-time changes

Make informed choices through our recommendation engine when handling urgent, real time changes that impact your schedule.

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Continuous planning optimization

Fine-tune schedules on the fly. Real-time, automatic and optimal employee scheduling. 

Tackle any constraint, optimize for mission-critical objectives

Optimization, tailored to your specific needs


Hard constraints represent rules and limitations of the real world 
Medium constraints help manage plans when resources are limited
Soft constraints help optimize plans based on the business goals.

With Timefold, all constraints are fully customizable and configurable to match your specific needs.

Real-time traffic updates

Multi-resource scheduling

Skill requirements

Employee preferences

Employee availability

Employee contracts

Compliance

Team pairing

Planning fairness

Workload balancing

Multi-day schedules

Demand-based scheduling

Cost optimization

Lunch breaks

Time windows & opening hours

Complex VRP problems

Multi-vehicle visits

Priority and completion risk

How it works

Timefold optimizes your unique business rules with an AI-powered scheduling and routing system built for complexity and scale. Our pre-built models eliminate months of development work, providing the fastest deployment track in the operations research space.

The Timefold Platform

Where the magic happens

The Timefold Platform provides easy access to Timefold’s models through the REST API, allowing you to integrate our solver technology and models with your apps. 

Models & Model SDK

Each of the Timefold models solve a specific type of planning problem. The SDK connects the models to underlying support features.

Enterprise Constraint Solver

Our cutting-edge Solver tasked to find the most optimal solution possible

Timefold Cloud platform

The infrastructure that coordinates solving planning problems and adds the UI
 

Pre-built, customizable optimization algorithms

How Timefold can help


We offer ready-made planning optimization models that are customizable to your use case, reducing time to value from 15+ months to 2 months on average compared to building custom models. Allowing you to unlock powerful automation & optimization capabilities in record time.

Pre-built Models

Discover our planning models like Feld Service Routing, Employee Shift Scheduling, Last Mile Delivery Routing, Maintenance scheduling, Machine Job Scheduling and VRP.

Test our Models

Take a spin on our platform with your own dataset, all for free. Including expert guidance.

Looking for something custom?

Our expert model builders are happy to help you with any custom requests. 

Watch our YouTube video’s

Learn more about AI in employee scheduling