A warm welcome to Bartel Van Herreweghe! 🎉 We’re happy to introduce Bartel as our newest Account Executive. With deep B2B enterprise selling experience built up in companies like Showpad, Intigriti and Henchman, part of LexisNexis, Bartel is joining us to help fuel the next stage of revenue growth. Bartel has spent over a decade driving revenue growth and success in highly competitive markets. His expertise in building strong client relationships and delivering tailored solutions will be a game-changer for us. As we continue our push for global expansion, Bartel’s wealth of experience and customer-first mindset will be invaluable in helping us achieve new milestones. We’re excited to have him on board!
Timefold
Software Development
Ghent, Vlaanderen 1,993 followers
Planning optimization made easy.
About us
Timefold specializes in PlanningAI, designed for complex, large-scale scheduling and routing. As an open-core company, we offer enterprise-ready, scalable solutions through our PlanningAI platform, where extensible models handle diverse operational constraints. With seamless API integration and flexible deployment, Timefold simplifies planning optimization for enterprises.
- Website
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https://timefold.ai
External link for Timefold
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Ghent, Vlaanderen
- Type
- Privately Held
- Founded
- 2022
- Specialties
- Planning optimization and Constraint programming
Locations
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Primary
Antwerpsesteenweg 532
Ghent, Vlaanderen 9040, BE
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Brno, CZ
Employees at Timefold
Updates
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Field service operations go far beyond just traveling from point A to B. Managing shifts, customer time windows, technician skills, and real-time adjustments is a logistical challenge. Timefold’s PlanningAI platform automates these complexities, providing optimal routes that increase technician productivity while minimizing downtime. What PlanningAI offers: • Multi-constraint optimization: Technician skills, time windows, and vehicle capacity are all accounted for to ensure the most efficient routing. • Real-time adaptability: Whether there’s a last-minute change or unexpected delay, Timefold dynamically adjusts to keep everything running smoothly. • Increased productivity: Reduce downtime and maximize technician output by automating manual planning tasks. Want to learn more? Check out the full documentation on Timefold’s platform here.
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Welcome to the Timefold family Lars Beckmann! Lars is a highly experienced planning optimization engineer with a strong track record of designing and building complex optimization models and writing his own solver technology. We are honored that Lars recognizes Timefold as the company that will transform this space and he is eager to support our mission to free the world from wasteful scheduling. We are convinced that his operations research experience will make Timefold into a much stronger offering. Outside of work, Lars enjoys spending time with his family, singing in a choir, playing tennis, and exploring new places hiking and cycling. #planningoptimization #PlanningAI #operationsresearch #OR
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How do you build something that solves virtually any planning problem? In this snippet from an interview, Geoffrey De Smet talks about how our technology is built to tackle even the most complex planning problems—whether it’s Field Service Routing, Shift Scheduling, Job Shop Scheduling, or more. While many businesses think their planning challenges are unique, Geoffrey explains how, after seeing hundreds of use cases, most share common constraints. With Timefold, we’ve built a system that can handle over 40 constraints, allowing businesses to optimize their planning with off-the-shelf models tweaked to their needs. 💡 Why Timefold is different: • Pre-built, but flexible: We offer ready-made models backed by over 20 years of experience, which you can tweak for your exact use case. You don’t need to start from scratch, but you still get the flexibility to adapt the model to your business. • Faster results: When you come up with a unique constraint, our team adds it, and within a week, your problem is solved—no lengthy customizations required. • Scalable solutions: Whether you have 10 constraints or 40, Timefold is designed to solve your planning problems as optimally as possible. 🔧 Ready to solve your toughest planning challenges? Stay tuned for more updates on how Timefold is transforming industries with smarter, more adaptable planning. #PlanningAI #Optimization #Timefold #NPHardProblems
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Trusting PlanningAI to generate the most productive, cost-efficient schedules is powerful, but in the real world, certain tasks need to be fixed. Whether it’s assigning a technician to a critical maintenance task, ensuring a delivery round stays on schedule, or factoring in essential travel time, sometimes you need manual control over specific parts of the plan. With Timefold, you can pin or fix those key segments, allowing our solver to handle the rest. Your fixed tasks remain locked, while PlanningAI optimizes everything around them—ensuring that you maintain efficiency without losing flexibility. 🛠️ Here’s how it works: • Pin key tasks: Lock in essential segments like maintenance, deliveries, or travel, ensuring they stay where they’re needed. • Flexible optimization: Timefold dynamically adjusts the rest of your schedule around these fixed segments, keeping everything productive and smooth. • Automation with control: Enjoy the benefits of automated planning while maintaining manual control over crucial areas. 🔍 Learn more about how Timefold balances fixed and flexible scheduling: https://timefold.ai
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🚀 Buckle up! Timefold is gearing up for more industry-specific planning solutions. Geoffrey De Smet shares his excitement about what’s coming next. Over the next few months and years, we’re expanding our library of off-the-shelf planning models. Beyond just Field Service Routing and Employee Shift Scheduling, we’re tackling Job Shop Scheduling, Last-Mile Delivery, and more. What does this mean for businesses? Off-the-shelf models tailored to your specific industry that you can tweak for your use case—so you’re not starting from scratch. 🎯 🌍 Why it matters: • More complex problems, simpler solutions: From factories that need to synchronize people, materials, and tools to businesses looking to cut CO2 emissions by optimizing routes, we’re solving real-world challenges. • Smarter operations for everyone: It’s not just about better efficiency; it’s also about better employee satisfaction and a greener future. 💡 Curious to see how these models can transform your business? Stay tuned—big things are coming!
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Arriving too early to a job isn’t always a win. 🕒 Field service efficiency isn’t just about getting technicians to a job on time—it’s also about making sure they aren’t sitting around waiting for it to start. Arriving too early might seem harmless, but it can be a real productivity killer. For example, a technician who shows up before the customer is available is left with idle time, leading to wasted hours that could have been spent elsewhere. With Timefold’s PlanningAI, we optimize your technicians’ schedules to minimize these gaps. By filling in time between jobs with other tasks or routing them to a better use of their time, our AI ensures that every minute is productive. No more wasted hours, just a more efficient and dynamic workflow. The result? Less idle time, fewer delays, and more jobs completed within a day. In a business where every minute counts, this could be the difference between meeting your goals or falling behind.
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Simplify complex, alternating shift schedules with ease. Managing shifts can get really complicated, especially when your workforce follows multi-day schedules. If your team’s shifts involve rotating sequences, patterns of consecutive on/off days, or complex chains across various teams and departments, the challenge of organizing them seamlessly can be overwhelming. Without the right tools, it’s easy for things to slip through the cracks, leading to overlapping shifts, scheduling conflicts, or overworked employees. That’s where Timefold’s Employee Shift Scheduling comes in. Our system simplifies even the most intricate shift patterns. Whether it’s making sure workers have enough rest between shifts, handling complex rotations, or ensuring time-off requests are honored, we make sure everything falls into place perfectly. The result? Better-managed shifts, happier employees, and no more last-minute surprises.
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If you have ever tried to build a planning optimization model, you know how difficult that task is. Add the time it takes to build it. And more than that, make sure it works well in the real-world. We want to reverse this experience. This is why we set out to build advanced, enterprise ready out-of-the-box models to make it EASY. Finally. Not convinced? We challenge you to test them -- free of charge. Go to our platform today and test our Field Service Routing and Employee Shift Scheduling models. Link in comments 👇
Wow!🚀 Timefold has introduced PlanningAI for complex scheduling and routing to the world! With the launch of the Timefold Platform, businesses now have access to out-of-the-box PlanningAI solutions for Field Service Routing (FSR), Employee Shift Scheduling (ESS), and more. Discover the future of smarter planning at 💻 https://app.timefold.ai 🎪📍Wintercircus Ghent
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We are thrilled to announce that Tom Cools is joining Timefold as a Developer Relations Engineer! Tom brings over a decade of experience as a consultant, Java expert, and educator. Recognized as a Java Champion and an active leader of the Belgian Java User Group, Tom has shared his expertise at conferences worldwide. His background makes him exceptional at translating technical concepts into digestible content and representing the voice of developers within our company. At Timefold, Tom will focus on empowering others by providing resources, guidance, and support. He will help the community solve intricate scheduling challenges while providing valuable feedback to improve our products. Tom's role will be key in ensuring developers have the tools and knowledge they need to thrive with our PlanningAI products.
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