Select Page


Data drives the race.

Disruptive Technologies in Logistics

Top game-changing technologies can be leveraged as a weapon for differentiation. How much impact will they have on the business performance of logistics companies?


Cloud computing:

The application of cloud solutions (public/private/hybrid cloud) for flexible, on-demand data access in logistics.


Internet of Things:

Sensors and actuators embedded in physical objects that are linked through wired and wireless networks. These networks churn out huge volumes of data for analysis.


Artificial intelligence & machine learning:

Applications of deep learning algorithms based on artificial neural or Bayesian networks to improve data-driven decisions constantly and automatically.


Data & predictive analytics:

The combination and interpretation of a big data set to create complex models and systems that are used for demand forecasting or predictive maintenance.

Estimated technology impact on business performance. Sources: GARTNER transportation insights, 2018; McKinsey, Travel, Transport & Logistics analysis, 2018

IoT in Logistics

Capacity sensing

Detect and communicate open spaces in a warehouse, port, or parking lot

Planning & Reporting

Detect and analyze events such as traffic accidents within a delivery network, allowing for more accurate delivery dates

Real-time Traceability

Track vehicles or shipments as well as individual items

Route Optimization

Map the shortest or most fuel-efficient route for delivery vehicles

Energy Management

Monitor and enable decision making about the use of fuel, lighting, and heating/cooling within vehicle fleets and facilities

Fault Detection & Resolution

Monitor fleets of vehicles, aircraft, or ships for faults and maintenance needs, improving uptime for the fleet


Kifisias Ave, 32
ATRINA Centre Tower, 14th Floor
Marousi 151 25
Athens, Greece
Phone: +30 (211) 198 9287
Fax: +30 (211) 198 9286

Copyright © 2018-2021 ACCADEMIS Greece