How companies go from PoC to production with Timefold: Integration and data challenges

Changelog & Roadmap: What shipped in Q1 & what’s coming in Q2 | Live webinar

Alternative Shifts Explained: One Job, Multiple Time Windows

Mandatory vs Optional Shifts in ESS: Smarter Scheduling When Resources Are Limited

Employee shift scheduling Time Off | How AI Schedulers Handle It

Why Fair Shift Scheduling Means Treating Employees Differently? | Employee Priorities

Employee Shift Scheduling with Travel Time and Location Constraints

Field service routing API | Timefold replanning engine x Bryntum UI

Field service routing API | Timefold recommendation engine x Bryntum UI

Field service routing API | Timefold route optimization engine x Bryntum UI

Employee shift scheduling API | Timefold replanning engine x Bryntum UI

Employee shift scheduling API | Timefold recommendation engine x Bryntum UI

Employee shift scheduling API | Timefold optimization engine x Bryntum UI

Webinar (March 4th, 2026): Building smarter scheduling UIs with Timefold and Bryntum

Employee Shift Scheduling: Skills and Risk Factors | How AI Matches Skills, Certs, and Risk

Solve a Vehicle Routing Problem with AI

Timefold Scheduling Intelligence | AI-powered scheduling and routing optimization

5 Million People Scheduled in 2025 with Timefold

Automation vs Optimization in Scheduling | Timefold Explained

What is an API? | Timefold API Explained

Indispensable 2025

Timefold Scheduling & Routing API

Timefold in the Wild Ep. 2 | Inside PIPA: Pigeon breeding optimization

Interview with Lukáš Petrovický (Timefold Solver Lead): Past, present and future of Timefold Solver.

Vehicle Routing Problems (VRP) in production: When research meets reality

Timefold Team Days 2025

Schedule with AI | Timefold x Bryntum

AI Shift Scheduling & Rostering: How to adapt to unexpected events in real-time with Recommendations

Interview with Simon Tiffert: How OptaZen solves complex planning problems with Timefold

Optimize Field Staff Scheduling & Routing with AI

Timefold at SuperNova 2025

Driver costs for the Vehicle Routing Problem

Employee Shift Scheduling: Optimizing for Labor Law Compliance

PlanningAI, the future of operations research

Employee Shift Scheduling: Pairing Employees

Shift availability in Employee Scheduling

Optimizing Santa’s Travels with Timefold (TSP example)

The challenges of Employee Shift Scheduling

Skill requirements in Vehicle Routing

7 challenges to automate Field Service Routing with AI | Route Optimization API

Lunch and other breaks for Vehicle Routing

Inside PlanningAI: Geoffrey De Smet on revolutionizing planning optimization

Inside Timefold’s €6M funding & PlanningAI platform launch

How PlanningAI helps Ecoprogram Flotte deliver 245,000 cars per year

Planning AI: Solve what Generative AI can’t

The secret formula for fair scheduling AI

Task dependencies for Vehicle Routing

Employee shift scheduling AI using Python

Timefold Team Days 2024

Timezones and Daylight saving for Vehicle Routing

Upgrade from OptaPlanner to Timefold in less than 1 minute

Shift hours and overtime for the Vehicle Routing Problem

Time Windows for Vehicle Routing

Timefold AMA - March 19 2024

Timefold case study - Ecoprogram Flotte

Solve the Capacitated Vehicle Routing Problem (CVRP) in Kotlin with Timefold AI

Build an AI-powered scheduling app with Quarkus and Timefold

Code planning automation AI in Kotlin Notebooks

Build an AI-powered scheduling app with Spring Boot and Timefold

Code automated maintenance scheduling in Java with Timefold