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Logistics

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

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