Define route

Route optimisation is the process of finding the most cost-effective route for a series of intermediate stops. Many people think this means finding the shortest distance or fastest time between point A and point B, but this is not quite correct. Route optimisation is used when you want to minimise driving time for multiple stopovers, while also taking into account a range of complexities, such as customer time windows, vehicle capacities, driver schedules and more.

RouteLogic's route optimisation algorithm is flexible enough to handle a wide range of routing constraints, such as vehicle capacity, time period delivery, driving times and more. This allows companies to quickly build routes that fit their business model. Our optimisations focus on reducing the number of vehicles on the road and/or the number of miles driven. Combine these two things together and companies can reduce their route planning time by up to 95% and cut costs such as driver wages and fuel by at least 30-40%. Our engineers are constantly improving the efficiency and flexibility of our route optimisation algorithm. RouteLogic has one of the most robust and efficient routing algorithms on the market.

RouteLogic's software can be used anywhere in Europe, but there are some limitations. Our software uses data from Google Maps and OpenStreet Maps to find addresses and create routes, respectively. If your business is located in an area with inaccurate map data, you might experience problems using our platform. The best way to check the quality of map data in your area is to try uploading your data in a free trial.

Route optimisation from RouteLogic is powerful and efficient. We can address a wide range of routing constraints, including:

• Time-of-day delivery;
• Vehicle capacity;
• Fixed or flexible start-end address of the vehicles;
• Fixed or flexible start-end time of the vehicles;
• Fixed or flexible loading/unloading time per job;
• Fixed delivery date or a date range;
• Routes across country borders;
• Divide assignments among all your vehicles or drive as few vehicles as possible;
• Determine the order of your orders yourself;
• Combine delivery and return orders for even more efficient routes;
• Add (rush) orders after the route optimisation while maintaining the order or recalculate your route.

You can optimise all the above routing constraints to:

• Reduce driving time;
• Reduce distances travelled;
• Deploy as few drivers and vehicles per route as possible;
• Combine delivery and return orders for fewer miles driven and savings on driver costs and fuel;
• Communicating delivery times to your customers that are right!

We have the most accurate predictive ETAs on the market! This not only improves your delivery efficiency but, more importantly, you can create a 5-star delivery experience for your customers. Your customers can trust you to deliver on time, time after time. How do we do this? Our route optimisation algorithm is enabled by machine learning. We use hundreds of thousands of deliveries every month to continuously improve the accuracy of our algorithm. The predicted ETA is communicated to your customers with 60 min margin. If the ETA is e.g. 12.00h, the customer will receive a message from you that you will be with them between 11.30 - 12.30h. This gives you leeway for any unexpected delays or if you do complete the route a little faster.