Transport and Logistics - The AI Association

Transport & Logistics
Driving value with intelligent efficiency

Over the next decade, as advances in technology come into play, transportation networks will become smarter, safer, and more efficient for pedestrians, commuters, and drivers.
Self-driving vehicles
Autonomous taxis have already started operations in Tokyo. Also, US logistics are embracing autonomous trucks to decline operating costs.

Traffic Management
AI can not only reduce unwanted traffic congestion but also improve road safety and reduce wait times.

Delay predictions
Leveraging data lake technique and computer vision, transportation companies can offer exceptional service to passengers in cutting down passengers' wait times and enhancing their journey experience.

Drone taxis
Pilot-less helicopters present a unique and sophisticated solution to combat the carbon emissions, eliminate traffic congestion, and reduce the need for expensive infrastructure planning and building.
How AI is improving the shipping industry

1
Automated Processes
The shipping industry is growing in confidence at AI technology's capacity to run processes at container terminals and expects it to play a big role in operations in the near future
2
Fuel Consumption
AI applications to reduce fuel consumption are growing, by predicting the most economical route while accounting for weather, currents, and shipping traffic.
3
Image Recognition
AI is being deployed for ship recognition systems. By combining deep learning technology with SME input, GPU's can assess a vessels surrounding area and improving safety
4
Navigation systems
Navigation has immediate and obvious application, bringing together a variety of data sources alongside IoT connectivity. AI can be used in multiple scenarios.
Predictive Capabilities
Having a tool for accurate demand forecasting and capacity planning allows companies to be more proactive. By knowing what to expect, they can decrease the number of total vehicles needed for transport and direct them to the locations where the demand is expected, which leads to significantly lower operational costs.
Robotics
While they may sound like a futuristic concept, they are already embedded inside the supply chain. Robots are locating, tracking, and moving inventory inside warehouses, they are conveying and sorting oversized packages at ground distribution hubs.
Big data
Big data is allowing logistics companies to forecast highly accurate outlooks and optimize future performance better than every before. The insights of Big Data, especially when generated by AI, can improve many facets of the supply chain like route optimization and supply chain trajectory.
Computer vision
Computer vision-based AI is allowing us to see the supply chain in new ways. Visual inspection technologies powered by AI can identify damage, classifying the damage type, and determining the appropriate corrective action.
Autonomous Vehicles
Road haulage is set for big chances with highway autopilot, lane-assist and assisted braking features predicted to lead the way to true autonomy. Better driving systems already allow for multiple trucks to drive in formation to lower fuel consumption.