Advantages for maritime actors
Our unique understanding of maritime digitalization and tailored solutions provide our customers with faster port calls, better decision-making and highly improved situational awareness.
Transitioning to a sustainable maritime industry is at the center of our vision.
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Product:
Artificial Intelligence Solutions
Artificial Intelligence Solutions
Awake's AI and Analytics team is dedicated to solving the most complex maritime logistics challenges by creating tailored analytics, machine learning and optimisation solutions. We've developed an MLOps solution allowing automation and orchestration of complex analytics and machine learning workflows. This can be used for general data analytics tasks benefiting from automated cloud-based parallel processing, such as computing traffic and emission analytics from large historical datasets.
Also, the cloud-based MLOps infrastructure allows robust, fully automated machine learning model training and updates, allowing to scale our ML solutions globally with minimal manual effort from the development team, while enabling also seamless integration to the microservices exploiting the models in the Awake.AI platform.​​
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Online Traffic Events Monitoring
The Awake.AI traffic event monitoring service provides fully automated, continuous, and customizable monitoring of vessel traffic events globally. This includes tracking of vessel arrival and departure times to areas of interest such as ports, berths, anchorage areas, canals, emission control areas, or any other custom areas of interest. Tracked areas can be associated with key metadata as needed, for example providing information on official SMDG terminal codes for tracked berth events. Key use cases for the service include e.g. providing near real-time notifications on vessel arrival to key areas globally, automated logging of actual event times and area occupancies, and monitoring usage of sensitive areas with emission restrictions.
The traffic events monitoring service can be enabled for vessel fleets as needed on a per-customer basis. Automated data analytics is applied to learn and maintain area specifications globally down to individual berth level.
Vessel Voyage Predictions
Our voyage services provide continuous global predictions on vessel voyages. This includes e.g. predicting vessel destinations, routes, and arrival times to any waypoints of interest along the ongoing voyage, updated at 15 minute intervals. We can also provide additional voyage analytics such as predicted fuel consumption and CO2 emissions for the remaining voyage, automated global identification of liner schedules between ports, and multihop predictions for sequences of port visits for short sea vessels by integrating data from port community and maritime single window systems.
Typical use cases of our voyage prediction services include providing increased visibility to upcoming port calls for port operations planning, congestion prediction, providing accurate and unbiased estimates on vessel arrival times to critical voyage waypoints, and continuous monitoring of the schedule status of vessels in customer fleets (early / on time / late). More information about how we approach vessel voyage predictions found here.
Example: visualization of voyage predictions for vessels under way to the Panama Canal, as provided by the Awake.AI voyage services.
Large-Scale Traffic Analytics
Awake.AI MLOps workflows enable automation of complex data analyses, providing key statistics and performance indicators for port and vessel operations. Updated on a daily basis, reports are provided e.g. on berth usage and capacity, vessel anchorage times, estimated CO2 emissions by port call and location, and port call planning accuracy. Reports can be provided in multiple data formats as needed, with access ranging from application programming interfaces (APIs) to fully customized interactive web dashboards.
Awake.AI automated analytics services and dashboards provide up to date statistics and KPIs for ports and vessel fleets. These include e.g. berth and anchorage area utilization, vessel waiting time statistics, emissions by location, and port call planning accuracy. This figure shows an example of a web dashboard showing an overview of all vessel visits by berth, including port traffic restrictions, in an interactive timeline view (top), and an interactive map providing details of individual vessel emission events in the port area (bottom).
Just-In-Time Planning Support Analytics
Just-in-Time (JIT) scheduling is seen by the IMO as a significant part of port call optimization and making the industry more sustainable. We provide a range of analytics services to support JIT schedule optimization. To support ports and terminals in evaluating the potential benefits of adopting a JIT scheduling process in their operations, we provide customized analyses breaking down the vessel traffic at the port of interest over the past 12 months to identify scenarios where vessels had potentially avoidable waiting time. For actors already implementing JIT optimization, we provide services which continuously monitor arriving vessel schedules and port call plans for the target port or terminal, and provide notifications and schedule adjustment proposals in cases where JIT optimization potential is identified.
Overview of JIT potential over all berth visits for three example ports distinguished by color. Solid lines indicate the potential when port traffic restrictions are assumed to be available in schedule planning, while dashed lines indicate the potential when this is not assumed, i.e. waiting time due to port traffic restrictions is removed from estimated JIT potential.
Our JIT optimization services track vessel voyage progress and planned port call schedules to identify possibilities for schedule optimization. These provide also continuous estimates of potential savings in fuel consumption and CO2 emissions by adjusting vessel arrival times.
Artificial Intelligence Solutions
Business ID 2945733-8
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