‘Using patterns detected by artificial intelligence (AI) to make transportation more efficient and fulfill expectations better, will soon become the norm in the logistics sector.‘ (GeospatialWorld, 2019)
In a highly competitive transport and logistics sector the key to success is efficiency. With AI enabled location intelligence, fleet managers can leverage historic and real-time information from their assets. Achieving operational excellence through navigating congested areas, predicting arrival times, managing fuel costs and road tolls and monitoring driver behaviour are the best known use cases.
Our data scientists and developers have gained a deep understanding of the prerequisites and operational demands that rule the bottom line in this sector.
This international transportation and logistics company offers door-to-door service via land, sea and air. ARLAS provides the location intelligence for its fleet management, processing 10+ Million records generated a day.
Earth Observation (EO) has spawned a growing value adding industry that addresses environmental, social and economic issues through innovative remote sensing capabilities and services. ARLAS Enterprise is the EO data processing and exploitation tool that provides meaningful insights for decision makers, based on mission-critical critical requirements.
ARLAS provides new opportunities for business, industry and government to add value to their operations. Whether it is for higher efficiency and cost savings (own use) or the provision of innovative products and services to third parties (white label).
Our team has developed the special catalogue services needed to tackle the large amounts of remote sensor data.
Airbus defense & space
The Sobloo platform aims to provide easy, access to Copernicus data and information to scientists, general public, entre-preneurs and start-ups. ARLAS provides the geospatial engine to deliver various geoservices.
Implementation of a metadata catalogue dedicated to management and analysis of satellite imagery.
DEMOS & USE CASES
Our demo’s below are examples of potential stories. Not necessarily yours, yet, but we expect there are many similarities.
Please, visit one of the demos below and assess how the features shown can address your business needs and goals.
Explore more than 45 million AIS boat positions emitted around Denmark between April 4th, 2018 and April 8th, 2018.
POLLUTION risk assessment
Check if your city is polluted thanks to the data accessed from the OpenAQ Platform. Switch between visualisation of various pollutants (µg/m³).
Discover the field movements of French league players provided by l’Ecole Polytechnique and the PSG Club for the Sports Analytics Challenge.
In case a natural disaster occurs, insurance companies have geospatial capability to understand in real-time their claims’ exposure by visually plotting their customer data and the affected area on a map. This enables them to accurately estimate the amount of resources required to service claims in an affected area.
Historic spatial-temporal analysis gives insurance companies insights in trends and patterns within their portfolio. This enables them to calculate their exposure to environmental risks and develop viable business scenarios.