Transform your container terminal into a Smart Port with Ai, Machine Learning & Digital Twins.
Get quick ROI, decongestion and decarbonation
Transform your terminal into a Smart Port

Reduce your RTG/RMG unproductive movements with the best containers stacking import strategy

Our Vehicle Booking System automatically setups your daily appointments quotas and orchestrates the trucks ballet coming to your container terminal.

Terminal benefits Get a demo now!
Your terminal today
Your Smart Port tomorrow

Trusted by industry-leading innovators

Join the 1000+ terminals committed to fighting climate change

Plug-and-play stacking strategy

The best Ai-powered stacking strategy 🥇

Unlock efficiency with DMS stacking strategy – maximize equipment use, minimize costs, and ensure sustainable, streamlined container handling operations.

Example of achieved results

🏗️ Stacking import strategy : Benefits

Yard navigation
explore yard, block, and bay
Legend colors
Legends for visual clarity
Time-scroll allocation
Movement history
Location recommendation

Satellite view interface for yards and blocks

DMSLOG provides an optional visualization tool in a TOS-like interface for monitoring purposes, where you can:

  • navigate in the yard > block > bay > container details,
  • change the colors of the legends (by POD, category, equipment class, line operator … )
  • and scroll through time (= navigate in the history of the movements to understand DMSLOG allocation).

See all features
Benefits for your terminal

Detailed bay view

Transporters using DMS Vehicle Booking System benefit from recommendations and automatic decision support before making appointments.

More features about stacking strategy
Get in / out of the terminal faster
Get in / out of the terminal faster
Efficient booking process
based on detailed bay views
Smart appointment recommendations
DMSLOG suggests optimal appointment
How does your stacking strategy works?

Ai is not magic 🪄... it's high-level mathematics 🧮 applied with common sense logic

1. Our API extracts your data.
2. Our algorithms compile your data into predictions.
3. Those forecasts are shown to the users.

Residence time forecasting

Prior to Dwell Time Prediction, the terminal faced challenges in managing container storage efficiently. The lack of predictive insights led to uncertainties in container dwell times, hindering overall operational efficiency in maritime logistics.

Enhanced productivity
Streamline terminal processes through accurate dwell time prediction for efficiency gains
Reduce human errors
Boost overall productivity with precise dwell time forecasts in container handling operations

The dwell time is the period that a container spends within a container terminal in one or more terminal stacks. It is a crucial factor influencing the efficiency and overall performance of maritime logistics operations.

Smartly collected data – Container Cycle, Gate Transaction, Manifest, and Customs Clearance – tracks and manages container movements, offering valuable insights for operational efficiency, security, and compliance

Machine learning and deep learning techniques are employed to develop our predictive models based on historical data and relevant features. The dwell time modeling process can benefit from incorporating some or all of the following data as predictive features.

The accurate prediction of dwell time helps in terminal operations optimization and enhance the overall productivity of container handling processes.

Book a free 30min demo

Predictive external truck traffic analysis

The absence of predictive insights resulted in inefficiencies, congestion, and potential bottlenecks in workload distribution within and around terminal yard blocks, hindering overall operational efficiency.

Optimize traffic management
Optimize terminal traffic with AI forecasting, minimizing delays and enhancing overall efficiency
Enhanced workload planning
Dynamically plan yard blocks, improving workload distribution and reducing congestion

This prediction is achieved by analyzing various information such as external truck visit historical data, vehicle booking system historical data, traffic information inside the terminal, weather conditions, and road infrastructure. 

The goal of this AI is the forecasting of external truck movements and traffic patterns coming to a container terminal. 

Predictive models are developed to estimate truck flow and anticipate potential bottlenecks or delays in areas surrounding the terminal yard blocks. The modeling process can also incorporate geolocation information within the yard, during the construction of predictive features.

These predictions enable better and dynamic yard block planning, improving overall workload distribution efficiency over blocks and reducing congestion around the terminal yard blocks.

Book a free 30min demo

Zone assignment

The manual allocation process lacked optimization, leading to suboptimal space and resource utilization, increased transportation distances, and potential congestion around terminal yard blocks.

Optimized space utilization
Maximize space efficiency with AI-driven block allocation, minimizing transportation distances
Enhanced workload distribution
Allocate blocks for improved efficiency, reducing congestion and enhancing workload distribution

AI-powered block allocation systems consider various factors such as information about the vessel, berth information, yard layout, container inventory levels, container characteristics and external truck flow forecasting. 

Block allocation powered by AI refers to the use of artificial intelligence algorithms and techniques to optimize the allocation of containers to a block in port operations.

Using this data, the AI determines the optimal block allocation that minimizes the distance required to transport containers and maximizes the utilization of available space and resources.

The yard block allocation is dynamic, improving overall workload distribution efficiency over blocks and reducing congestion around the terminal yard blocks.

Book a free 30min demo

Slot assignment

The lack of a systematic approach led to suboptimal stacking, inefficient coordination between ASCs, and potential disruptions in container handling activities. The absence of real-time and efficient allocation systems further hindered overall operational effectiveness.

Smart container positioning
AI-driven position allocation for precise container placement, optimizing terminal efficiency
Efficient ASC coordination
Enhance ASC coordination with real-time position allocation, ensuring smooth container handling activities

The AI system conducts an evaluation of different elements when a block is chosen, including TOS-related Filters/Segregation and predicted dwell time, in order to suggest the best position for each container.

The proposed stacking positions also take into account efficient coordination between ASCs engaged in container handling activities within the given block.

The model for block allocation and the position allocation are computationally efficient and real-time (data delivered within a minute) compatible

Book a free 30min demo
Decarbonation of the port industry

DMSLOG is a leading actor of the port decarbonation

⚖️ Get compliant with your local and international CO2 regulations.

Intergovernmental Panel on Climate Change, United Nations Climate Change, Organisation for Economic
Co-operation and Development, UN Environment Programme, The European Council, USA Department of Energy…

Calculate your terminal carbon emissions DMSLOG.Ai is labelled Innovative Solution for Sustainable Ports
Usage and scalability

📈 Our stacking strategy volume

We provide the most powerful Stacking Strategy on the market.








Containers booked
Software (or Ai only) as a Service

Stacking strategy pricing 🏷️

The terminal subscribes to the Stacking Strategy – and pays monthly based on its volume of containers.

Computerized Maintenance Management System (CMMS) – for predictive maintenance and machine health / energy management – to avoid surprises and productivity decreases during shifts and to lower consumption,

Call me back now !

$0,1 to 2/TEU *

To automate your VBS

Automatic allocation of quotas
Automatic TTT prediction
Synchronization VBS <-> GOS/TOS

* Prices not contractual: depending on your volume, contract duration, options, specific requirements.


Free access

To make appointments at the terminal

Combined operations recommendat°
TTT prediction and reduction
Empty container availability predict°


Steps involved in the API information exchange

📅 Stacking strategy deployment

The API connection between the terminal IT and DMS-AI ensures the efficiency of data synchronization between the two stakeholders. This synergy guarantees the reactivity and accuracy of the predictions.

Month 0Relevant information is gathered prior to vessel arrival
Month 1Dwell time for each container is then predicted
Month 2external flow of trucks is forecasted
Month 2Followed by determining block allocation
Month 3position allocations for each container and slot assignment
Month 4The iterative process of computing stacking positions
Month 5block determination continues
Talk to a project manager

Our IT, Consulting and Project Management services 🤝

For any project deployment, we support you in the following steps.

5 star expertise on the latest tech

Design, Simulation, Analysis
Design, Simulation, Analysis

DMS ensures that the configuration of your Ai solution meets your expectations, respects your policies and internal rules, and corresponds to your objectives.

Helpdesk and user support
Helpdesk and user support

We are at your disposal for technical assistance 7 days a week, to help you in all your steps.

Project management, implementation and training
Project management, implementation and training

Whether you have an IT team or not, available or not, we provide engineers and project managers to ensure the proper deployment of your Ai solution.

Our local IT partners.
Our local IT partners.

From the web hosting of your Ai solution, to the training of your users, DMSLOG.Ai works with local partners and integrators, in all regions of the world.

Stacking Strategy Internationalization

Languages ​​available 🌎

Our Stacking Strategy is available in…


You still have a question about our Stacking Strategy?

This deployment process is done in 3 main steps.

Phase 1 – Dual Operation:
Initially, you’ll continue operating your current Vehicle Booking System (VBS) while we deploy our new system. This phase ensures there is no disruption in your terminal’s operations. Our team will work closely with yours to set up the new VBS in parallel, focusing on integrating it seamlessly with your existing infrastructure.

Phase 2 – Hybrid Testing:
In this phase, both the old and new VBS will be operational concurrently. This ‘hybrid system’ allows us to conduct real-world testing of the new VBS with a select group of carriers. It’s a crucial step to ensure the new system functions as intended and to identify and resolve any potential issues. This phase also provides an opportunity for your staff and carriers to familiarize themselves with the new system without fully depending on it.

Phase 3 – Full Transition and Closure:
Once the new VBS is thoroughly tested and validated, we’ll transition all transporter activities to it. During this phase, the old VBS will be phased out. We ensure a smooth transition where all transporters are now using the new system effectively. Following the successful implementation, the old VBS will be closed. However, we will securely store all historical data from the old system to ensure that no critical information is lost and can be accessed if needed.

This phase marks the completion of the transition to the new, more efficient VBS, aligning with your terminal’s operational needs and future growth of your Smart Port.

Yes, a CMS is integrated into our Vehicle Booking System.

This detailed breakdown provides an in-depth look at how the CMS module integrated into the VBS enhances communication and operational efficiency between the terminal and the carriers community.

For Terminal Managers – Automatic Updates:

  • The following automatic features simplifies terminal operations and ensures timely information dissemination.

For Carriers – Community Space Features:

  • Vessel Information Access: Enabling carriers to view detailed vessel information, including Estimated Time of Arrival (ETA) and Estimated Time of Departure (ETD).
  • Container Tracking: Offering carriers the ability to track containers at each step, similar to an Amazon order tracking system, including status updates within the vessel and terminal (or on the way to the terminal, when the truck TMS is connected to the VBS via API).
  • Financial Information and Transactions: Providing information on Last Free Day, storage guarantees, payments due, and fees, sourced directly from the Terminal Operating System (TOS). Carriers can conveniently pay these charges using various payment methods like Credit Card, Visa, Mastercard, GooglePay, and ApplePay.
  • Truck Turnaround Time Estimations: Availability of a chart displaying estimated Truck Turnaround Times for the current and upcoming days, aiding carriers in planning and logistics.

Public and Private Access

  • Access Control: Allowing for tailored information sharing based on the terminal’s and carriers’ needs.

Yes, our VBS can work without the Ai ​​layers – even if the best logistics optimizations come from the Ai features.

Contact us for more details, it will be a pleasure to deploy our Vehicle Booking System on your terminal.

However, a Vehicle Booking System with Ai Integration has several benefits:

  • Advanced Logistics Optimization: Utilizing AI algorithms, the system offers superior logistics management, optimizing container handling and vehicle scheduling.
  • Predictive Analytics: AI capabilities enable predictive modeling for better forecasting and decision-making.
  • Enhanced Efficiency: The AI layer streamlines operations, reducing wait times and improving turnaround.
  • Data-Driven Insights: AI tools provide valuable insights for continuous improvement and strategic planning.

without any longer project deployment (they both need 4 to 6 month).

At DMSLOG.Ai, we understand the diverse needs of modern smart ports. Whether you choose our AI-enhanced Vehicle Booking System or opt for the non-AI version, we ensure top-quality service and performance. The AI-integrated system is ideal for terminals seeking cutting-edge logistics optimization and data-driven decision-making, aligning with the trending demands for AI in Smart Ports.

However, for those preferring a simpler, quicker-to-deploy solution, our non-AI VBS still offers robust functionality and efficiency.

Contact us for a tailored deployment plan that best fits your terminal’s unique requirements.

Contact us!

We are happy to answer all your questions, whether about our solutions, services, or any Smart Port question.
Contact our team