What is Autonomous Dispatch & Routing Software?
Specifically designed to address the critical issues that routing and dispatching teams face every day, particularly last-mile delivery challenges, autonomous dispatching and routing is an automated system for seamlessly coordinating the movement of goods, people, and services. The goal of theses systems is to improve fleet efficiency and customer service, reducing miles driven, improving fleet utilization, and minimizing time spent on manually intensive route building — all while reducing late deliveries.
In autonomous dispatching and routing, orders entered into the system are automatically dispatched and routed, and difficult decisions about vehicle and driver deployment are managed using software. Using large data sets and machine learning, autonomous dispatching and routing solutions make optimized decisions in real time — from rerouting around traffic delays and re-sequencing stops to ensure that deliveries are made inside of customers’ time windows.
Autonomous dispatching and routing executes today’s tasks, while also optimizing the planning and efficiency of future routes. With machine learning that continuously analyzes fleet data, autonomous dispatching and routing systems go far beyond traditional route optimization platforms to understand every aspect of each delivery — not just the time between stops. Instead, the software analyzes all information — type of location, amount of product to be delivered, service time for every delivery, which driver made each delivery, and at what time of day — so that the system can be prescriptive, predictive, and precise about the best sequences across the fleet as it plans for the future.
Other autonomous dispatching examples: Ride-sharing companies use proprietary autonomous dispatching systems for their own fleets — riders request a car and the system automatically evaluates, selects, and assigns the most suitable vehicle based on customer preference (e.g., shared ride, normal passenger vehicle, or specialized vehicle) and vehicle proximity. However, these systems are optimized for single transactions, and are not built to manage the complexity of a fast-paced logistics operation.