AI-supported scheduling in construction transport for greater efficiency
This is how AI-supported scheduling works in practice
A regionally operating construction transport company with its own fleet of vehicles and a high volume of orders in its daily business faced a growing challenge: short-notice orders, variable construction site conditions, and fluctuating material availability made manual dispatching increasingly time-consuming, and the shortage of skilled workers exacerbated the situation. Given this situation, AI-powered dispatching was considered as a potential solution.
Solution – Scheduling with AI support
Together with the company, an AI-supported scheduling prototype was developed which:
- Incoming orders analyzed in real time
- Automatically suggests means of transport, routes and time windows
- Priorities weighted according to urgency, travel time and cargo volume
- actively incorporates changes (e.g., weather-related closures) into the planning.
The solution is based on a semantic processing of order data, which is integrated into the software.
objective:
- More transparency for dispatchers in case of short-term plan changes
- Better capacity utilization the truck fleet and fewer empty runs
- Faster training from new employees
The AI-supported dispatching prototype enabled the construction transport company to make its planning significantly more efficient, flexible and transparent – with noticeable added value in day-to-day business.
