By applying AI and Machine Learning we improve the efficiency for marine container terminals and the shipping industry.

Plug-in to the Future of

Maritime Logistics​

Our Solutions​

AI-Import Dwell Time Prediction (AI-IDP)

Predict how long time an import container will stay in your terminal by applying Artificial Intelligence from the industry experts at Blockshipping.

The Challenge​

Unknown pickup-time ​of containers

Random stacking of containers​

​High amount of shuffle moves

The Solution

Collecting and analyzing available data

Applying state-of-the-art 

Artificial Intelligence

Predicting the dwell time of import containers
>50 % accuracy​

AI-IDP​

The Benefits​

>30%

Saved Shuffle Moves

>20%

Faster Truck Turnaround Time

2.5M kg of CO2

Saved anually for a medium-sized port of 1.3M TEU

3-5M USD $

Saved anually for a medium-sized port of 1.3M TEU

>30%

Saved Shuffle Moves

>20%

Faster Truck Turnaround Time

2.5M kg of CO2

Saved anually for a medium-sized port of 1.3M TEU

3-5M USD $

Saved anually for a medium-sized port of 1.3M TEU

How it works​

Terminal Operation System (TOS)

globe2-01 AI​-IDP

• ​AI-powered

• TOS-agnostic​

• Non-intrusive​

AI​-IDP

​• AI-powered

• TOS-agnostic​

• Non-intrusive​

Terminal Operation System (TOS)

Main Features

  • Continuous Optimization
  • Non-intrusive TOS Integration
  • Cloud-based service
  • Enables reduction of big investments
  • Increases your competitive advantage
  • Easy Proof-of-Business Value

​​"The AI-IDP solution from Blockshipping has redefined our expectations regarding how AI can be used to reduce unproductive container moves to optimize import delivery further. Additionally, we are seeing the potential for our customers to increase container handling equipment utilization, which will help them increase throughput and reduce their carbon footprint."

Hugh Gallagher, VP Customer Success, Tideworks Technology​

There is great potential to deploy new and disruptive technology, such as AI, to further the green agenda. Increasing efficiency and productivity while also lowering CO2 emissions is not mutually exclusive. What we can do for the shipping industry, in collaboration with Blockshipping, is a great example of this,

Mikael Munck, CEO & Founder, 2021.AI

“Reducing shuffle moves by +30% also provides the opportunity to raise stacking height leading to improved utilization of equipment andyard space. Terminals and their customers also benefit from faster truck turn-time and overall improvement in efficiency”

Ian ​Sehgal, CEO & Founder, INVICTA

Other Products

AI-Terminal Truck Exchange

Match between import and export moves both at your terminal and the hinterland.


The Challenge

  • High amount of empty container transports (40%)
  • Port and traffic-related congestion
  • High amount of wasted resources, maintenance and energy

The Solution

  • Provide and utilize real-time information

  • Match between import and export moves both at the terminal and the hinterland

The Benefits

  • Provides new revenue streams for terminals
  • ​Enables reduction of empty container transports

  • Optimizes street-turn/triangulation operations

AI-Transshipment Optimizer

​Apply Artificial Intelligence to ensure a continuous flow of containers between the yard and the quay while reducing housekeeping moves and truck travel distances.

The Challenge

  • Poor utilization of CHE

  • Uncertain vessel berthing time and location

  • Static yard allocation for transshipment containers

The Solution

  • Analyzing existing and available date

  • Use Artificial Intelligence to assign each container automatically its optimal position

  • Predicting schedule and stowage layout for outbound vessels

The Benefits

  • Improves CHE utilization

  • Enables reduction of unnecessary shuffle moves

  • Higher utilization of available yard space

  • Enables reduction of truck travel distances

Container Optimizer Flow (AI-OTF)

Improve your container inventory management by predicting when a container will be returned empty from an importer.

The Challenge

  • Poor forecasting ability for the flow of containers

  • High buffer stocks of empty containers and inflated container inventories

The Solution

  • Analyze existing and available data
  • Use Artificial Intelligence to predict when a container will be returned empty from an importer

The Benefits

  • Improved forecasting ability for the flow of containers
  • Reduction of the empty container buffer stocks by 20%
  • Enables reduction of container inventory globally

Product Portfolio

​Interested in improving
your processes?

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