Language
.svg){kind=icon}
A large logistics company based in Rotterdam, specializing in the distribution of goods within Europe.
The company had to deal with inefficient route planning, high fuel costs and a lack of real-time insight into their fleet. This led to delays, higher operational costs and reduced customer satisfaction.
Implementation of an advanced AI- and IoT-driven system that optimizes transport and logistics operations.
- Collection of historical data about routes, fuel consumption, maintenance data and delivery times.
- IoT sensors are installed on all vehicles to collect real-time data on location, speed, fuel level and vehicle condition.
- Using machine learning algorithms, analyse the collected data to identify patterns and inefficiencies.
- Develop an AI-driven route optimization system to calculate the most efficient routes, taking into account traffic conditions, weather forecasts and delivery priorities.
- The IoT system provides real-time fleet monitoring, allowing the company to respond immediately to any problems.
- Predictive maintenance algorithms predict maintenance needs based on the collected data, leading to fewer unexpected failures and lower maintenance costs.
- Implementation of the system and extensive training for the logistics company's staff to use the new system effectively.
- Cost savings: A 15% reduction in fuel costs through more efficient route planning.
- Improved Efficiency: A 20% reduction in delivery times, leading to higher customer satisfaction.
- Reduced Maintenance Costs: A 30% reduction in unexpected vehicle failures thanks to predictive maintenance.
Through the cooperation, the logistics company in Rotterdam can significantly improve its operational efficiency, reduce costs and increase customer satisfaction. This project shows the power of AI and IoT in the transport and logistics sector.
