The cloud-based route optimisation software.

This stage allows you to either create a new plan, or continue with an existing strategy. This is a chance to look at your orders and vehicles in detail, specifically their individual characteristics. 

Upload the orders you want to plan (or reuse an existing order set) and all of their specific needs such as time windows, the drivers’ skills, order size and whether it’s for pickup or delivery. You can also edit all these orders immediately where needed and use flexible tags to customize your orders.

Upload a vehicle set or reuse an existing one and include their features such as capacity limit, maximum time spans, costs and the skills or other limitations of the vehicles. A flexible vehicle tag system gives the user all the necessary freedom.

Here you can indicate which orders can be served by which vehicles based on the order and vehicle tags. This can be used to show whether an order needs a driver with specific skills for example.

Your routes are being optimised on the fly. You can see how they are improving: every second the kilometers and the costs decrease. You can pause the optimisation, fix an aspect of a route, manually reallocate orders and continue the optimization again and the results can be exported to Excel.

Gain tactical insight into your planning by running multiple scenarios and comparing KPIs.  

Optimise routes based on traffic patterns and time-dependent drive times, to increase the reliability of your plan.  

Model the constraints of your logistics operation, such as preventing two product types from being transported in the same vehicle, with high flexibility in the planning tool. 

Plan with time windows for each customer and customise capacities per vehicle. 

Keep your drivers happy by taking their needs and preferences, such as break rules and preferred regions, into account in the optimisation while minimising the impact on the total cost. 

Import orders from your TMS/ERP system and export your routes to the driver's on-board computer.