The white paper explores how AI is reshaping logistics by tackling the sector’s complexity, data intensity, and sustainability needs. Logistics faces fluctuating demand, multiple stakeholders, and optimization challenges—making it ideal for AI adoption. The paper highlights applications across ports, intralogistics, and transport management, grouped by AI functions: sensing (data capture), thinking (decision-making), and acting (automation). Examples include autonomous robots, traffic forecasting, digital twins, and collaborative freight planning. It also addresses challenges such as high implementation costs, data privacy, and security, while stressing the importance of starting with small, practical use cases. The EU AI Act provides a regulatory framework to ensure safe, transparent, and

Join for free to read