Timefold is a scheduling optimization platform for field service, workforce, logistics, and operations teams. You send your data to a REST API and get back technician routes, employee shifts, delivery plans, or task sequences that respect skills, labor laws, fairness, and dependencies. It re-plans in real time when disruptions hit. Software vendors embed it in FSM and WFM products, and developers can use the open-source Timefold Solver for Java and Kotlin.

• Field Service Routing API: Assigns technicians to jobs and plans their routes, so you cut travel time and fit more visits into each day.
• Employee Shift Scheduling API: Builds rosters that follow labor rules, skills, and fairness requirements. It can handle hundreds of thousands of shifts in a single run.
• Pickup & Delivery Routing API: Plans pickup and delivery routes for couriers, freight, NEMT, and same-day delivery operations.
• Task Scheduling API: Sequences jobs across people and machines to reduce changeovers and respect dependencies.
• Custom API: Describe your scheduling problem in a form, and Timefold builds a suggested API to solve it.
• Real-Time Rescheduling and Multi-Objective Optimization: Weighted constraints balance competing goals, and plans update when disruptions happen. Higher tiers add what-if scenarios, comparisons, and simulations.
• Explainability and Insights: Score analysis, constraint views, plan visualizations, and KPI dashboards show you why a schedule looks the way it does. Horizon adds Efficiency X-Ray.
• Open-Source Timefold Solver: An Apache 2.0 constraint solver for Java and Kotlin with Quarkus and Spring Boot support. An Enterprise edition adds multi-threaded solving, partitioned search, and scaling to 500,000 jobs, shifts, or tasks.

• Ready-Made Optimization APIs: Prebuilt APIs for field service routing, employee scheduling, pickup and delivery, and task scheduling save developers from building complex optimization models from scratch.
• Flexible Business Rule Modeling: Define scheduling rules as readable Java or Kotlin code instead of writing complex mathematical equations. This makes it easier to represent real-world requirements and maintain custom constraints.
• Free Open-Source Solver: Timefold Solver Community uses the Apache 2.0 license, allowing developers to use it in commercial applications without paying licensing fees.
• Built By The Original OptaPlanner Team: Timefold builds on OptaPlanner's technology and is maintained by its original creator and core development team. Existing OptaPlanner users have a clear migration path.
• Enterprise-Grade Security: Timefold holds SOC 2 Type 2 and ISO 27001:2022 certifications and supports GDPR requirements through a Data Processing Agreement.
• Scales To Large Scheduling Problems: The Enterprise Solver supports multi-threaded processing, partitioned search, and workloads of up to 500,000 jobs, shifts, or tasks.
• Works With Existing Software: Its REST API and JSON-based integration make it compatible with a wide range of business systems, including Salesforce, ServiceNow, Microsoft Dynamics, Oracle, and SAP.

• No Published Prices: The pricing page lists tiers but no dollar amounts, so you need to contact sales or start a trial before you can budget.
• Limited Features On Spark: Spark is API-only with one seat, one config profile, 1 thread, 4GB memory, and a production tenant only. Teams that want visual analysis, dev environments, or collaboration need Flow or Horizon.
• Advanced Features Require Higher Tiers: What-if scenarios, Efficiency X-Ray, custom constraints, real-time traffic, 24/7 support, and self-hosting are only in Horizon. Multi-threaded solving and partitioned search require the Enterprise Solver.
• Requires Software Integration: Timefold delivers optimization through APIs and a solver library, not a standalone scheduling app for frontline managers. You need engineering work to integrate it into your own systems.

• Field Service Dispatch: A facility maintenance or home care provider sends daily jobs and technician skills to the Field Service Routing API. You get optimized routes with less travel time, and you can re-plan the same day when a job runs long or a technician calls in sick.
• Healthcare and Retail Rostering: A hospital or retail chain uses the Employee Shift Scheduling API to build rosters that follow labor laws, skills, and fairness rules. Managers spend less time on spreadsheets and cut overtime.
• Courier and Freight Routing: A same-day delivery or LTL carrier plans pickup and delivery routes across vehicles and time windows. This raises stops per route and cuts kilometers driven.
• Manufacturing Job Sequencing: A discrete manufacturer uses the Task Scheduling API to order jobs across machines and staff. Fewer changeovers means higher throughput.
• Embedding Optimization in SaaS: An FSM or WFM software vendor plugs Timefold's APIs into its product. Customers get advanced scheduling without the vendor building an optimization engine in-house.
• Custom Planning Problems for Developers: A Java or Kotlin team embeds the open-source Timefold Solver in a Spring Boot or Quarkus service to model its own constraints for bin packing, equipment scheduling, or other planning problems.