Videos

Inside PlanningAI: Geoffrey De Smet on revolutionizing planning optimization

In this interview, Geoffrey De Smet, CTO and Co-founder of Timefold, shares with Robin Wauters the story behind Timefold’s creation, from his early work on planning technologies and open-source projects to the launch of the PlanningAI platform. Geoffrey dives into how Timefold is solving complex planning problems in industries like logistics, field services, and shift scheduling. He also discusses the company’s transition from OptaPlanner to Timefold, the challenges of building a tech startup, and the company’s exciting future. Tune in to learn more about Timefold’s game-changing solutions, their €6M seed round, and how PlanningAI is reducing costs, driving efficiency, and making a real-world impact. 🌐 Learn more about Timefold: https://timefold.ai/

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

In this video interview, Robin Wauters (founder of Tech.eu) sits down with Maarten Vandenbroucke, CEO and Co-founder of Timefold, to discuss the company’s recent €6 million seed funding round led by Lakestar VC, with participation from Smartfin. Maarten shares insights on his entrepreneurial journey, the unique PlanningAI technology behind Timefold’s optimization solutions, and how the company is democratizing access to complex software. They also explore Timefold’s growth, team expansion, and plans for launching their beta PlanningAI platform.

PlanningAI: Solving what GenAI can't

Most people associate AI with machine learning or Generative AI like ChatGPT. But there’s another type of AI that’s quietly revolutionizing industries: PlanningAI. In this video, we break down what PlanningAI is and why it’s crucial for solving complex, large-scale problems like scheduling and routing.

The secret formula for fair scheduling AI

Learn how to avoid employee dissatisfaction by measuring and ensuring fair shift distribution in your scheduling

Task dependencies for vehicle routing

Enhance your vehicle routing by managing task dependencies effectively. Learn to sequence tasks properly and create optimal schedules with Timefold.

Employee Shift Scheduling AI in Python

Create feasible, automated employee shift schedules. Need to optimize for cost, service quality, and employee morale all at the same time? Let Timefold’s planning AI empower you to do this in Python.

Field Service Routing - Dealing with Timezones and Daylight Saving Time

Discover how to tackle time zones and daylight saving time in field service routing with Timefold. Optimize your schedules and avoid operational hiccups.

Upgrade from OptaPlanner to Timefold in less than 1 minute

In this tutorial, we’ll show you how to effortlessly upgrade your OptaPlanner code to Timefold code in less than 1 minute. Co-founded by Geoffrey De Smet, the creator of OptaPlanner, Timefold is revolutionary planning optimization software designed to supercharge your planning processes

Shift hours and overtime for the Vehicle Routing Problem

How do you make field service technicians work the right amount of time? When is overtime a good thing? And how do you plan all that as efficiently as possible?

Quarkus Insights #162: What is Timefold AI?

Geoffrey De Smet joins us to discuss Timefold - an open source solver AI - and how it can used with Quarkus to optimize vehicle routing, maintenance scheduling, production lines and other planning problems.

Time Windows for Vehicle Routing

In this short video Geoffrey De Smet explains how Time Windows work.

Timefold AMA March 19 2024

On March 19th Timefold hosted its first AMA. Geoffrey De Smet and Lukáš Petrovický answered both questions that were submitted beforehand and live questions. On YouTube, open the description to see the questions and click on the time stamps to directly navigate to them.

Timefold Case Study - Ecoprogram Flotte

Discover how Ecoprogram Flotte, a pioneering Italian company with over 30 years of experience in automotive logistics, revolutionized its transport planning processes with Timefold.

Solve the Capacitated Vehicle Routing Problem (CVRP) in Kotlin

In this tutorial, we'll walk you through the steps of solving the Capacitated Vehicle Routing Problem (CVRP) in Kotlin Notebook, using the open source AI solver Timefold.

Build an AI-powered scheduling app with Quarkus and Timefold

In this tutorial, we'll walk you through the steps of developing an advanced AI-powered appointment scheduling application using Quarkus and Timefold AI.

Code planning automation AI in Kotlin Notebooks

In this tutorial we guide you through how to code your own planning automation AI in Kotlin Notebooks by leveraging the Timefold AI solver. Learn how Timefold can handle complex planning problems and optimize for them.

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

In this tutorial we guide you through creating an AI-driven scheduling application using Spring Boot and Timefold AI. Learn how Timefold can handle complex planning problems and optimize for them.

Code automated maintenance scheduling in Java with Timefold

In this video we explain how to code maintenance planning with Timefold, in Java. Ever experienced the joy of hitting a pothole? It’s a reminder of the importance of regular maintenance – not just for roads but for everything from elevators to aircrafts. But how do you ensure these essential services don’t fail when you need them the most? That's where maintenance scheduling come in - and it's more complex than you might think!

Timefold Team Days (fall 2023)

Join us for an exclusive look behind the scenes of the Timefold's Solver Summit. Meet the team behind our groundbreaking solver technology and our company's success. Curious about joining our mission? Explore exciting career opportunities at https://jobs.timefold.ai and be part of our journey!

Mobile Workforce Planning AI - Dispatch field service technicians

Planning a mobile workforce and making sure they are dispatched in the most optimal way. Saving fuel, drive time and more importantly increasing technician productivity. That's what Timefold Solver can do for you. Start building today.

Master Employee Shift Scheduling with AI: A Technical Guide to Timefold Software

In this video we showcase how Timefold's robust constraint-based solver can be seamlessly integrated into your existing software systems, empowering you to automate and optimize shift planning for a workforce. Whether you're a developer or a tech-savvy manager, you'll find valuable insights on enhancing your operational efficiency. Solve your employee shift planning problem with Timefold.

Unlocking the Power of Timefold: Community, Enterprise, Orbit

Get a quick insight into Timefold's Offerings with Jente De Meyer, Timefold's Marketing Expert. Explore Timefold Community, Timefold Enterprise, and Orbit.

What do our employees say about Timefold Solver?

Software engineers love the Timefold open source Solver our so much that they'll voluntarily get in front of the camera to talk about it.

Optimize the world for fun and profit By Geoffrey De Smet, Lukáš Petrovický

Optimizing resource use is key for the continued survival of the human species. From reducing consumption of fossil fuels, to packing your week at Devoxx as much as possible, optimization problems are everywhere. In this deep dive, you’ll learn how to solve them with AI in Java. Optimization is hard. Really hard. All the computing power in the world won’t save you. You’ll have to work smarter, not harder. And we’ll demonstrate that using Timefold, an Apache-licensed Open Source solver. There will be live coding, there will be benchmarks, there will be science, and we can guarantee you will learn something new.

Order fulfillment routing

Unlocking Efficiency in Order Fulfillment: The Perfect Blend of inventory allocation and Vehicle Routing. In the world of logistics, every order is a puzzle, and solving it requires precision. Join us to explore how we tackle this dual challenge head-on, optimizing stock allocation from multiple warehouses while orchestrating the most efficient routes for our vehicles.

Maximizing Factory Production Line Efficiency

Learn how Timefold helps you to reduce setup and changeover costs to maximize efficiency, using food packaging assembly lines as an example. Whether you're in the food industry or any manufacturing field, these insights apply to supercharge your production line!

Code the Vehicle Routing Problem with Time Windows (VRPTW) in Java

Today we explain how to solve the vehicle routing problem with time windows (VRPTW) with Timefold in Java. A step-by-step approach by our CTO and co-founder Geoffrey De Smet.

Code the Capacitated Vehicle Routing Problem (CVRP) in Java

Learn how to solve the capacitated vehicle routing problem (CVRP) in Java with the help Timefold, an open-source solver! Follow along as we guide you through the process, from setting up the repository to customizing the code for your specific needs. Discover how to efficiently manage vehicle capacity constraints and minimize travel distances. Whether you’re a beginner or an experienced developer, this video will help you master vehicle routing problems with ease.

VRP constraints: shift length, service time and lunch breaks

We're thrilled to share a sneak peek of our upcoming educational video, aimed at demystifying the constraints in Vehicle Routing Problems (VRP). Today, we're spotlighting three essential factors: minimizing drive time, managing maximum shift times, and ensuring efficient lunch breaks. Stay tuned for more learnings when we release our full video.

Maintenance scheduling optimization

Unlock the power of maintenance scheduling with Timefold and optimize the planning for maintenance technicians ⚙️🔧. Timefold's Planning Optimization software revolutionizes the way companies handle maintenance scheduling. Say goodbye to manual planning, tedious coordination, and the complexities of managing maintenance tasks.

Optimize employee shift scheduling

Unlock the power of employee shift rostering with Timefold with and optimise your employee planning 👩‍💼👨‍⚕️. Our Employee Rostering planning model saves countless hours manually scheduling shifts, handling employee availability, and juggling complex constraints. Discover how Timefold's solver tackles the challenges of employee rostering, creating schedules that not only meet your organization's requirements but also maximize productivity and employee satisfaction.

Optimize the Vehicle Routing Problem (VRP)

Unlock the power of efficient Vehicle Routing (VRP) with and optimise your vehicle routing problem with Timefold 🚚✨. In this video, we dive into the world of Vehicle Routing Problems (VRP) and demonstrate what problems Timefold's advanced solver can tackle related to this. Our VRP software solution frees you of wasteful planning and reduces total drive time by up to 25%, saving on fuel costs, carbon emissions and staffing.