The future of mass haul is intelligent
Traditional mass haul planning relies on experience and estimation, but Ditio Flow’s AI capabilities bring a new level of precision to every decision on site. By analysing historical and real-time data, Flow can algorithmically determine the optimal machine mix of loaders and dump trucks for any given operation. This means that instead of over-allocating equipment and absorbing unnecessary costs, or under-allocating and falling behind schedule, project teams deploy exactly the right resources at the right time. AF Group experienced this first-hand when they optimized their fleet from day two.
AI-based route planning takes optimisation even further. Flow continuously analyses haul routes, traffic patterns, and site conditions to recommend the most efficient paths for each vehicle. When potential bottlenecks are detected, whether from converging routes, slow segments, or equipment conflicts, the system issues warnings before delays materialise. Predictive truck arrival times and speed recommendations provide drivers with real-time guidance, helping them maintain optimal pacing and reducing the stop-and-start inefficiencies that waste fuel and time.
Perhaps the most transformative capability is auto load and dump, which enables trucks to complete loading and dumping cycles without requiring manual driver input at each stage. By combining GPS precision, geofencing, and machine-to-machine communication, Flow automates the most repetitive aspects of the haul cycle. This not only increases throughput and reduces human error, but also frees drivers to focus on safe operation. Together, these AI and automation features represent a fundamental shift toward data-driven construction, where every aspect of the operation is continuously measured, optimised, and improved.