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

ASSET STORE

Ready-to-use solutions for transportation & logistics

With our Asset Store, 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

Model accelerator

Detects packages, trucks, or materials based on a video stream. The detection can be used for alarms, positioning, or location mapping

Automatic file execution

Standalone pipeline

Automatically attaches the right documents to orders, shipments, or returns

Cross-docking

Model accelerator

Optimizes logistics procedures to limit handling or storage time

Container stacking

Standalone pipeline

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.

Bjørn Olesen, Sales Director at 2021.AI

Client stories

Delivering measurable business value

Discover how we help clients optimize costs, increase revenue, and address risks.

Connect with our experts

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Bjørn Olesen

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.