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.

IoT in Logistics

assorted-color filed intermodal containers

Capacity sensing

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

Medino cardboard boxes

Planning & Reporting

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

person holding black samsung android smartphone

Real-time Traceability

Track vehicles or shipments as well as individual items

person holding white ipad with black case

Route Optimization

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

red truck on road during daytime

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