Logistics
Machine learning algorithms can learn how to optimally allocate resources, like fleets of vehicles, to address dynamically changing demand (e.g. passenger requests) while maximising resource utilisation. Thus it’s no surprise that logistics is another domain with AI adoption in progress.
In general, AI can help logistics in:
- demand forecasting,
- assisting last-mile delivery (from chatbots to autonomous drones),
- real-time decision making,
- creating contingency plans,
- tracking movement.
Rolls-Royce27 is working with Intel to develop self-driving ships. Rolls-Royce released the Intelligence Awareness system in 2018, a system that can classify all the nearby objects under the water. It can also monitor the engine condition and recommend the best routes.
DHL28 has developed a machine learning-based tool to predict transit time delays of air freight to enable proactive mitigation. By analyzing 58 different parameters of internal data, the...