Benefit of Using Enriched Tracking Data
| Highlighted Features | Benefits |
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Predictive Capability |
With the help of the prediction model, the estimated arrival time, when comparing to original data source from shipping company, is increased by average of 20-30%*, which can assist customers come up better planning for logistic and resources in the last mile. |
Detected ATA/ATD |
Alert you with on time notifications about vessel arrival and departure and help you improve arrangement for in-out bound activities. |
Harmonized Shipment Route |
Getting the most possible truth related to shipment routing and associated vessel.By comparing the original and enriched version of tracking data, you can follow up with your carrier to investigate discrepancies or stay alert for the unexpected update that need your attention. |
*From May 2022 data study
Our Predictive Model
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Leverage years of historical AIS data, analyze more than a million of vessel journeys information covered a thousand of ports all over the world. |
Develop algorithm combing carrier published vessel schedules, ports terminals information to detect ATA events automatically for each of the journey |
Combine multiple machine learning models, using near-real-time vessel IoT technology to predict vessel routes and arrival time of up to a few weeks in the future. |
Geofencing
We perform geofencing for different terminal operators globally by machine learning on historical AIS signals as well as marine experts who have decades of experiences to mark our prediction model to be accurate and precise. |
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Steps to Enrich Tracking Data
The Challenge of Ocean Visibility Is More About Data Quality
The data provided by service providers come with common problem such as incorrect timestamp, completely missing data and latency of key milestone and events. Incorrect information will lead to incorrect decision and arise logistic cost, making customer difficult to operate in efficient way.
Meet the Digital Twins Family
IQAX has developed a Digital Twin Platform that combines vessel IoT data with schedule, container and shipment data to deliver live vessel status by creating digital replica of a physical object integrating AI, IoT and spatial network graphs.
Complete modelling of real-world entities with AI harmonized shipping data |
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Vessel Twins |
Live Vessel Movement of 16,000+ Vessels, around 30+ Million Updates (Monthly) |
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Schedule Twins |
Vessel & Point-Point (3000+ Services) Schedules from 27 Ocean Carriers |
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Container Twins |
Tracking 300k Containers (Daily) |
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Typhoon Twins |
7+ Million Weather Data Updates (Monthly) |
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Terminal Twins |
Monitoring 800+ Ports, 1,400+ Terminals |
By leveraging associations, Digital Twin Platform setup a connected marine world from multiple sources to perform continuous data consolidation and correction, resulting more complete and accurate shipment and schedule updates and providing a high quality of near real-time information for consumption.
Data Ingredient for Visibility
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Booking Confirmation |
Bill of Lading |
Container Tracking |
Vessel Schedule |
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Traditional Channel |
EDI 301 |
EDI 310 |
EDI 315 |
EDI 323 |
Shipment Route |
Provision |
Provision |
Actual/Provision |
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Vessel Time |
ETA/ETD |
ETA/ETD |
ATA/ATD |
ETA/ETD or ATA/ATD |
Vessel Name |
Provision |
Provision |
Actual/Provision |
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Vessel Voyage |
Provision |
Provision |
Actual/Provision |
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Container Milestone |
Actual |
Visibility Data from Carriers/NVO
Common Problems |
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Consequence |
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Such as
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Our Solution to Address Data Quality
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