Use data to optimize your operations

Improve efficiency:

7% lower fuel consumption per year

Reduce carbon emissions:

12% energy cost reduction

4.Maximize asset life:

10% higher overall utilization

Ensure Trust:

100% security compliance

Advanced fleet and asset management

Digital fleet and asset management platforms make it possible to manage the flow of goods through complex and tightly managed supply chains. We help logistics organizations optimize their fleets with smarter operations powered by IoT and analytics. Increase your customer satisfaction while improving capacity, reliability and efficiency.

Our solutions deliver:

Data-driven decision making through connected devices, IoT and data analytics
Optimizing fuel consumption, reducing CO2 emission, and improving operational efficiency through AI
Increased levels of passenger satisfaction

Smart Connected Freight Vessels

Tracking data from the engine and fuel rooms optimizes vessel performance, saves money in the long term and reduces CO2 emissions. Gain full visibility of vessel performance and insights into your fleet operations with:

Real-time visibility, enabling predictive maintenance
Significant savings in fuel consumption and improved energy efficiency
Reduced fuel, operational, and maintenance costs
Proactive management of operational cost.

Estimate your total yearly savings now! >

Hub Operations Management

End-to-end visibility of shipment handling and proactive notifications:

Data-driven, proactive decision making
Minimized irregularities in the shipment lifecycle
Improved efficiency in hub operation and carrier services
Proactive measures for any potential service failures
A platform to grow digital capabilities

Contact us to learn more about Hub operations management >

Client Story

Global shipping company reduced fuel consumption by 7%

The solution provides an onboard component, which collects data and information from control systems and hosts applications to generate tangible business benefits like decarbonization. These applications are developed by using machine learning algorithms and artificial intelligence, running on a high-end edge computing device.

Learn about our collaboration on this project with Siemens (includes a demo) >

Find out more

Logistics blogs from the Atos expert community

Logistics: Challenges and opportunities in the post-covid-19 world
by Bobby Sharma

Read the blog >

Get ready for self-driving systems and smart roads

The maturing of edge intelligence is likely to be one of the more disruptive technology areas over the next 3-4 years. Autonomous capabilities will increasingly exploit cooperative intelligence between connected devices and their surrounding ecosystems

Read more in Journey 2024 >