- Planning optimization made easy - Timefold is the fork of @optaplanner. We are an Open Source company, co-founded by the OptaPlanner creator @GeoffreyDeSmet

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BIIIIIIG NEWS! ❤️‍🔥 We're partnering up with Bryntum, a leading provider of scheduling UI-components. Bryntum visualizes the schedules of enterprises like Microsoft, Coca-Cola, 3M, Adobe, Airbus... And boy, are we excited about this partnership. For too long, businesses have been forced to choose between powerful, mathematical optimization engines or intuitive, but unintelligent, scheduling tools. That compromise ends today: Together, we bridge the gap between complex optimization and clear, interactive schedules. 👉 Find out more: lnkd.in/gtKGQDSp #Partnership #Bryntum #Timefold #PlanningAI
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💫 Work in fast forward, live in slow motion.
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When people hear ‘AI,’ they often think of machine learning or GenAI like ChatGPT. But there’s an entirely different kind of AI that’s quietly transforming industries— PlanningAI. PlanningAI is designed for tackling complex, large-scale problems like scheduling, routing, and resource optimization—problems that traditional AI simply can’t handle. In our latest video, we break down what PlanningAI is, why it’s a game-changer, and how it’s already making a real-world impact
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Creating fair employee schedules starts with Timefold, In this video we dive deeper into why fair schedules matter and how to achieve it with ease.
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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. #pythonprogramming #Python
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New video for companies scheduling Field Service Engineers! Learn from @GeoffreyDeSmet how to tackle scheduling across time zones and those rare daylight saving time moments with Timefold. Keep your schedules running smoothly. Watch now!
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We 've upgraded our video on how to upgrade from OptaPlanner to Timefold. Switch to Timefold for: - Stability - Speed and scalability - New features - New quickstarts Switch your codebase from OptaPlanner to Timefold in less than 1 minute. piped.video/watch?v=pM0-kebK…
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How do you ensure field service technicians work the right amount of time and when is overtime beneficial? Watch our latest video and learn how to apply these strategies to a vehicle routing problem such as Field Service routing. Learn more at timefold.ai
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What is Timefold AI? How can you integrate Timefold in your application using Quarkus? Tune in today at 15:00 CEST at episode 162 of @QuarkusIO Insights piped.video/watch?v=fKCglnJD… Plug-in a powerful optimization AI, handling complex planning problems.
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Re-watch the first Timefold AMA session on YouTube! piped.video/watch?v=eakKcfkU… Thanks for joining and engaging with us! We're looking forward to exploring similar formats to engage with you and give insights into the world of planning optimization.
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Solve the Capacitated Vehicle Routing Problem(CVRP) with @kotlin Notebooks using Timefold AI. 👉 Timefold Notebooks GitHub repo: github.com/TimefoldAI/timefo… This video walks you through a practical example of optimizing vehicle routes, showcasing: - Setup and execution within Kotlin, highlighting the process from JSON input to solution analysis. - Real-world application with Timefold, focusing on handling vehicle capacities and minimizing travel distances. - Interactive examples for a hands-on experience in solving complex routing problems.
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Timefold is listed in Notion Capital's Top 100 'Cloud Challengers' 2024. Highlighting the very best early stage business software start-ups in Europe. A proud moment for our team and founders!🌟 @GeoffreyDeSmet, @mvdbroucke Discover the full list of innovators reshaping the future: notion.vc/cloud-challengers-… @NotionCapital
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In this tutorial, we'll walk you through the steps of developing an advanced AI-powered appointment scheduling application using Quarkus and Timefold AI. Visit timefold.ai for more info about how Timefold can help developers optimize planning problems. @QuarkusIO
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⚽ As we gear up for @EUFA EURO 2024, let's look at complex tournament scheduling. Diogo Ferreira penned down this insightful blog post about creating a fair, efficient soccer tournament schedule. timefold.ai/blog/2024/create…
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In our pursuit to make planning optimization easy we just released a tutorial, displaying how @JetBrains' Kotlin Notebooks can be used to leverage the @TimefoldAI Solver. Create your own planning automation AI #kotlin #AI
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How do you update a vehicle routing plan in real-time? For example when a vehicle breaks down during the day. With @TimefoldAI's real-time planning and warm starts. Remain agile and efficient by enabling your planning to respond to real-time events. In depth documentation about real-time planning: timefold.ai/docs/timefold-so…
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In this tutorial we guide you through creating an AI-driven scheduling application using Spring Boot and @TimefoldAI. Learn how Timefold can handle complex planning problems and optimize for them. piped.video/watch?v=jOTn6N-8…
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Timefold Solver reached 500 stargazers on @github. Let’s hope they by the time we hit 1000, DALL-E has improved their writing capabilities, spot the typo ;) Visit our project at github.com/timefoldai/timefo…
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Ever hit a pothole? It’s a reminder of the importance of regular road maintenance. As critical as it is, maintenance scheduling for roads, aircrafts, elevators, is hard to code without Timefold. Watch this video to learn how to code maintenance scheduling with Timefold in Java.
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You've optimized your planning schedule with the Timefold AI Solver and you want to judge the planning quality by looking at the score. But what does that score actually mean? How do I interpret this? Learn more in our documentation timefold.ai/docs/timefold-so…
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Meet the team behind our groundbreaking solver technology and our company's success. Curious about joining our mission? Explore exciting career opportunities at jobs.timefold.ai and be part of our journey!
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Planning a mobile workforce and navigating all business rules and customer requirements is hard. Doing it right not only means your customer gets serviced in a timely manner, it also means saving fuel, drive time and increased technician productivity. In the hands of software builders @TimefoldAI Solver becomes an essential part of optimizing and planning your operations. Learn more on timefold.ai
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Leverage the solving power of @TimefoldAI in software development. In this video we look into how developers can integrate an automatic employee shift planning building block. Want to start right away? github.com/TimefoldAI/timefo… Integrate Timefold in your software and rely on a powerful constraints solver that simply works for your specific use case.
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In Continuous planning, each schedule plan has multiple stages. Some of it is in the past. Part of it is published and hard to change. Some of it isn't worth planning yet. In this video we show you all these stages fit together. #optimization
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Discover the power of Continuous Planning for Employee Scheduling! ✨ In this short video, we dive into why Continuous Planning is imperative when communicating to employees AND making your current planning more optimized.
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🚀 Curious about Timefold's offerings? 🤔 🌐 Timefold Community 🏢 Timefold Enterprise 🌌 Orbit Jente De Meyer, Marketing at Timefold gives you the TL;DR Visit timefold.ai/ for more information
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Why should one upgrade from OptaPlanner to Timefold? Timefold Solver has many bugfixes and security fixes since it forked from OptaPlanner. We also added powerful new features and enhancements: github.com/timefoldai/timefo…
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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. Watch until the end..
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At this very moment @GeoffreyDeSmet and Lukáš Petrovický entertain a packed room of Java developers at the 20th edition of #Devoxx. For those that want to chip in a bit later, the show keeps going until 12:30 in room 6 if you couldn't make it, we've got your back, a complete recording will be shared soon.
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Comparing the quality of planning solutions needs to happen objectively. In this video we're explaining our approach to objectively score each solution. Find out what NP-hard planning problems Timefold can solve for you today. timefold.ai
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On Tuesday, @GeoffreyDeSmet spoke at the global Java 21 Launch live stream. He discussed the performance changes in the latest version of Java and why speed improvements of Java result in better results and directly impact our customers' bottom line. piped.video/watch?v=E8NV68ih…
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Is there even an NP-hard problem our solver can't fix? In this video we explain how Timefold optimizes factory production line productivity by reducing the setup time and changeover time. Is that bag @GeoffreyDeSmet is holding real or photoshopped? 😉 piped.video/FCJ9xdSKMY8
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Just dropped a video on solving VRPTW with Timefold! 🚚🕰️ VRPTW adds Time Windows to the classic vehicle routing problem, ensuring deliveries happen within specific time frames. Check out the video to see how we optimize routes efficiently! piped.video/watch?v=RJAYChpr…
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The #1 reason to split operational planning... Follow us on YouTube to get the latest content piped.video/@timefold
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Time goes fast when you're folding time. Timefold Solver 1.1.0 is out now. Effectively fixing bugs that were there since @optaplanner. The most significant changes in 1.1.0 are improved constraint matching performance. Upgrade today to benefit from the latest optimization tech. github.com/TimefoldAI/timefo…

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Speeding up score calculation in planning optimization has a massive impact on finding an optimal solution. With @Timefoldai, we're taking huge leaps and delivering 2X speed versus @OptaPlanner. Find out how to switch from OptaPlanner to Timefold: timefold.ai/blog/2023/optapl… Imagine the impact updating has across models like the Vehicle Routing Problem for large fleets. Better solutions, better real-time optimizations, increased scalability, lower CPU usage,...
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Full video: piped.video/watch?v=OaB4BBqm… Since we started Timefold, one of the most asked planning optimization problems of clients resolve around Maintenance Scheduling. 🔧 Specifically about how to optimize the planning of a workforce of thousands of maintenance technicians whilst taking numerous of constraints into account. Watch our video to get a breakdown of the planning problem and our approach to solving it.
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We're committed to supporting developers and companies in the area of employee shift optimization. Check out our video on how our solution equips you with the essential building blocks to optimize shift planning with efficiency and precision. piped.video/ZHeMQzC5ifM
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We are thrilled to welcome Lukáš Petrovický to Timefold! 🎉 With his extensive experience as a core developer of OptaPlanner, Lukáš brings invaluable expertise to our team. At @optaplanner , he played a key role in making the Constraint Streams framework a reality and he has a deep understanding of optimization and metaheuristics. Lukáš and our co-founder @GeoffreyDeSmet share a long history, and Lukáš even served as the Lead for the OptaPlanner project. We are excited to have him on board as he takes on the responsibility of continuous improvement of our Solver.
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📣We’ve just released a video on how Timefold optimizes Vehicle Routing Problems (VRP). Watch the full video on our YouTube channel. YouTube: piped.video/qFjTyva9B1s Visit timefold.ai to learn more about how we can optimize all planning problems. #PlanningOptimization #Timefold #OptaPlanner
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📣 Exciting news! We’ve just released a video on migrating Optaplanner code to Timefold. Can @geoffreydesmet update a code base from @optaplanner to Timefold in less than 1 minute? Watch the full video on our YouTube channel. 🎥 YouTube: piped.video/1IAOCMvp2Zg 🔗 Learn more about Timefold: timefold.ai/ #PlanningOptimization #Timefold #OptaPlanner
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