Automation
The use of automation in logistics is significantly improving efficiently and reducing costs in many areas. These include:
- Automated storage and retrieval systems in warehouses
- Guided warehouse vehicles
- Palleting robots
- Radio data terminals which provide picking instructions to warehouse operators from central order management systems
Autonomous Vehicles
The combination of Global Positioning Systems (GPS) and the rapid development of Inertial Navigation Systems (INS), has accelerated the prospect of driverless vehicles. This could revolutionise the transport industry by reducing further the need for human intervention to improve costs and efficiencies.
Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. For logistics, the application of machine learning within the IT systems and automation used will ensure they continuously improved without the need for human intervention.