Bring optimization into your existing IT stack
Built from the ground up for developers
The Adiona RESTful API can be integrated into almost any IT stack. More than just a route optimizer, FlexOps is an organization optimizer. Built to minimize cost and time while prioritizing customer service levels and on-time delivery, it gives you visibility and control for even the largest fleets. Access the latest documentation here.
Effortless automation, even for very large fleets
Did you know that most route optimizers still use algorithms developed in the 1970s? Route optimization for fleets with over 1000 customers per day takes on new challenges that traditional solutions struggle with.
Most solutions don't scale for large fleets, resulting in very slow performance, no accounting for real traffic or vehicle speed, and limited ability to customize for different fleet types.
Even with large customer bases of 100k+ locations per day, Adiona is customizable, robust, and returns results in seconds for any combination of static and dynamic fleet.
Whether your fleet is picking up and dropping off, operating from multiple depots, has various vehicle or service types, and last-minute ad hoc insertions, HDVRP handles it all and incorporates parking, traffic, and weather as well.
Every step of the operation, from production to delivery
Optimize how items flow through your network no matter how complex it is. Use demand, inventory, delivery priority, and fleet availability information to automate the planning processes in your depots. Increase customer service levels, reduce delays, and get constant visibility at every step.
Continuous improvement, automatically
Continuous Machine Learning (CML)
The more data that flows through Adiona, the better the algorithms become for your specific organization. The system is constantly learning and improving, and provides feedback to show you how. For example, we track the real service time for each customer, which can vary greatly between commercial, residential, regional, or high density areas. This is fed back into the optimizations for superior results.