Artificial intelligence (AI) is becoming increasingly important in the logistics sector. Companies are using AI to automate processes such as route planning and capacity forecasting. But the technology doesn't just bring benefits. Here we look at the pros and cons of AI in freight planning.

Pro — Increasing efficiency through automation

AI systems can analyze large amounts of data, which leads to faster decision-making processes and a reduced error rate.

• Decisions faster: Real-time traffic and weather analyses optimize routes.
• Cost reduction: Optimized transport capacities minimize empty runs and reduce fuel costs.

Contra — High implementation costs and data dependency

The introduction of AI requires significant investments and high data quality.

• expenses: Small businesses could struggle to adopt the expensive technology.
• Data dependency: AI systems are only as good as the data that is available to them.

Pro — Improved forecasting and flexibility

AI helps predict future developments and react to unforeseen events.

• Capacity forecasts: AI analyses market developments and seasonal fluctuations in order to precisely plan transport requirements.
• customization: In crisis situations, AI quickly finds alternative solutions.

Contra — dependence on technology and security risks

With AI, dependence on technologies that can fail or become the target of cyber attacks is increasing.

• Technology failures: Erroneous AI data could affect the supply chain.
• Safety concerns: Processing sensitive data poses potential risks to data security.