Artificial intelligence-driven logistics spearhead a fundamental transformation in the global movement of goods. AI and logistics is the perfect union for businesses seeking a competitive edge – and a necessary combination for companies hoping to compete in the future.

Use Cases

Autonomous trucking and delivery

Autonomous trucking reduces costs by allowing for increased asset utilization as 24/7 runtimes are possible. Moreover, the whole business model of transport & logistics (T&L) might be disrupted by new market entrants such as truck manufacturers offering T&L and large online retailers vertically integrating their T&L.

Enhanced security

Data mining and predictive analytics can be used for solving multiple problems connected to risk management, including error detection and quantification, unit reviews or internal audits, detecting fraud (see above), identifying suppliers with highest probability of failure, quantifying payment risks, and credit scoring.

Delivery optimization

Predictive analytic capabilities allow machines to automatically place orders based on a customer’s order pattern, minimizing delivery time—which means next-day delivery will become too slow for some customers.

Traffic control

Providing real-time information about hold-ups and traffic jams to drivers, together with suggestions for alternative routes, helps traffic to avoid those areas. Vehicle-to-vehicle communications offer increased potential to avoid congestion. Smart traffic management can also involve direct vehicle-to-vehicle communications. Vehicles including cars and buses can be fitted with RFID tags that can communicate with each other. Information about traffic jams can therefore be passed on ‘from the horse’s mouth’, almost literally, helping drivers avoid problem areas.

Smart parking

One problem in cities is congestion created by drivers driving around searching for a parking space. It can be solved by smart parking systems which will alert drivers about empty spaces, and direct them straight there.


  • Greater flexibility, customization and choice in how goods and people move around and the ability to get from A to B faster and more reliably
  • Faster delivery
  • Automated picking in warehouses
  • Reduced congestion, emissions, and air pollution
  • Time saving: smart scheduling, fewer traffic jams and real-time route adjustment to speed up transport