INDUSTRY SPECIFIC SOLUTIONS
Transportation
In a global economy, logistics are an ever-increasing optimization challenge. With AI, transportation companies can identify bottlenecks and new opportunities. Let’s help you succeed with your AI use cases of today and tomorrow.
Use cases
Forecasting
Foresee various scenarios with up to 50% more accuracy than before AI
Warehouse strategy
Place goods based on data insights, reducing shuffle moves
Prioritized inboxes
Sort inboxes for order handlers, placing the most important orders/request on top
GPS tracking
Use GPS data from trucks, ships to get insights on ETA
Slotting of goods
Identify which goods are typically ordered together
Inventory prediction
Predict the sale of goods to make recommendations for store inventory management
Use cases
Forecasting
Foreseeing various scenarios with up to 50% more accuracy than before AI
Warehouse strategy
Placing goods based on data insights, reducing shuffle moves
Prioritized inboxes
Sorting inboxes for order handlers, placing the most important orders/request on top
GPS tracking
Using GPS data from trucks, ships to get insights on ETA
Slotting of goods
Identifying which goods are typically ordered together
Inventory prediction
Predicting the sale of goods to make recommendations for store inventory management
MODEL LIBRARY
Ready-to-use solutions for transportation & logistics
With our model library, there is no need to develop everything from scratch yourself. Benefit from ready-to-use solutions, offering everything you need to kick-start and accelerate your AI projects.
Object detection
Optimization
Detects packages, trucks, or materials based on a video stream. The detection can be used for alarms, positioning, or location mapping
Automatic file execution
Data Science
Automatically attaches the right documents to orders, shipments, or returns
Cross-docking
Optimization
Optimizes logistics procedures to limit handling or storage time
Container stacking
Optimization
Optimizes the stacking of containers to minimize shuffling and reduce CO2 at ports
Object detection
Optimization
Detects packages, trucks, or materials based on a video stream. The detection can be used for alarms, positioning, or location mapping
Automatic file execution
Data Science
Automatically attaches the right documents to orders, shipments, or returns
Cross-docking
Optimization
Optimizes logistics procedures to limit handling or storage time
Container stacking
Optimization
Optimizes the stacking of containers to minimize shuffling and reduce CO2 at ports
CLIENT CASE
Container dwell-time optimization
The average cost of shuffling a single container is approximately US $30. Al-IDP can reduce the number of moves by more than 30% and better utilize the often limited space available in container terminals, reducing costs and CO2 footprint significantly.
Reduction in
shuffles
In cost
reduction
Model
performance
co2 emissions
reduction
··········
We are only looking at the tip of the iceberg, when talking AI in the transportation sector – the companies that embrace the technology will be tomorrow’s leaders.
Client stories
Delivering measurable business value
Discover how we help clients optimize costs, increase revenue, and address risks.
Connect with our experts
Our business experts are ready to answer your questions, provide advice, and offer insights. Please leave your contact details, and we will connect to set up a virtual one-on-one.
Bjørn Olesen
SALES DIRECTOR, 2021.AI
Bjørn has 15+ years of experience in IT implementations, for a large segment of clients. At 2021.AI, Bjørn focuses on transport and logistics industries, enabling our clients to optimize and improve their operations.