Timefold’s last mile delivery routing Planning AI optimizes the final leg of the delivery process resulting in efficient delivery fleet management and minimized wasteful planning.
Augment your final mile logistics with AI-powered optimizations.
Timefold adapts to unexpected changes such as unavailable drivers and urgent new deliveries. Our model ensures efficient route planning, minimizing time on the road and enhancing delivery reliability, even when unforeseen events arise.
Adjust schedules based on specific maintenance intervals per machine or type of equipment. Making sure all SLAs are met.
Optimized Labor Costs Streamline employee scheduling with Timefold, reducing labor costs through more efficient planning and minimizing overtime. Enhance productivity and save valuable hours previously spent on manual scheduling.
The model accounts for the storage space of each vehicle, allowing efficient planning for a heterogeneous fleet and maximizing load capacity.
When a customer calls with a high priority appointment, Timefold enables you to easily re-schedule to accommodate for priority visits.
Pitfalls
Problem: Static schedules fail to adapt to changes, leading to inefficient resource use and missed deliveries.
Timefold Solution: The “Continuous Planning” feature continuously updates routes as new information comes in, optimizing resource use and meeting delivery windows.
Problem: Overloaded vehicles can cause delays, safety issues, and increased wear and tear.
Timefold Solution: The “Vehicle Capacity” constraint ensures vehicles are loaded within capacity limits, optimizing space and maintaining safety.
Problem: Failing to meet delivery time windows leads to customer dissatisfaction and potential penalties.
Timefold Solution: “Time Windows” constraints ensure deliveries are made within specified times, improving customer satisfaction and compliance.
Constraints
Efficiently split orders between multiple vehicles or stops, optimizing delivery schedules and ensuring timely service.
Efficiently incorporate lunch breaks into routes, maintaining driver well-being without compromising delivery schedule.
Optimize routes with multiple starting points or depots to streamline operations and serve diverse areas.
Make sure the delivery arrives within the agreed time window.
Optimize routes based on vehicle capacity to maximize efficiency and minimize wasted space.
Why Choose Timefold
Address the complex challenges of last-mile delivery scheduling, considering factors like delivery time windows, driver availability, vehicle type, and vehicle capacity.
Automate the planning for thousands of deliveries with fully customizable constraints. Adapt routes and schedules to meet your specific needs using the power of Planning AI.
Unforeseen conditions happen. Timefold’s Smart Reassignment Engine suggests the best-fit backup drivers and routes. Stay prepared and maintain smooth delivery operations, even with unexpected changes.
Automatically balance loads and optimize delivery sequences based on vehicle type and capacity. Improve efficiency by ensuring vehicles are fully utilized and routes are logically arranged.
Let our planning AI manage your delivery routes, schedules, and constraints while ensuring compliance with customer expectations and regulatory requirements.
Timefold’s continuous planning optimizes schedules over the long term, not just day-to-day, resulting in greater efficiency and better task management.
Send your delivery planning data as a JSON file to our fully managed platform through the REST API and receive optimized solutions effortlessly.
Testimonials
The Timefold platform is better than anything we have ever seen or used before. By optimizing the planning, we reduce the workload for our people and make our transports more environmentally friendly. In this way, the circle is complete.
Tasked with a complex scheduling problem, we didn’t just propose a solution; we built one — operational in real-time, with real data in 4 days. Thanks in large part to the solid foundation of Timefold, the client selected us on the strength of our demonstration.
Timefold worked in partnership with NEC to provide the optimisation required and extended their platform to accommodate specific requirements for the Social Housing sector. The time to market was shortened through agile partnerships working.
FAQ
Timefold is designed for easy integration with a wide range of Service Management software through API connectivity. We provide detailed documentation and support for REST APIs, allowing seamless data exchange and functionality within your existing software ecosystem.
Our platform offers extensive customization through a powerful rule engine that allows you to define specific scheduling rules, constraints, and preferences. From setting individual employee availability to complex labor compliance requirements, Timefold can be tailored to meet the precise needs of your organization, ensuring that your scheduling is both efficient and compliant.
Yes. Timefold is built on a scalable architecture that supports businesses of all sizes, from small startups to large enterprises. Our solution can handle increasing amounts of data and complex scheduling scenarios, ensuring that as your business grows, Timefold grows with you, maintaining performance and reliability.
We prioritize data privacy and security. Our system uses encryption for data in transit and at rest, regular security audits, and access controls to ensure that your employee information is protected against unauthorized access and breaches.
Our solution utilizes dynamic scheduling algorithms that can quickly adapt to changes, such as fluctuating demand, employee availability, or last-minute absences. Timefold's flexibility ensures that your scheduling remains optimal, responsive, and resilient to change, minimizing disruptions and maintaining operational efficiency.
Assign customer visits to technicians, and route the technicians to those visits, optimizing for increased productivity and reduced travel time.
Assign employees to shifts, optimizing for employee availability, cost reduction, compliance, and employee satisfaction.
