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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

This requires complete transparency across all steps and events along the entire supply chain. This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods.

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Data Everywhere: AI in Logistics

Logistics Business Magazine

Most shippers, carriers and logistics service providers understand the importance of data collection and data-driven decision-making. Data collected over time provides intelligence, enabling companies to enhance long-term decision-making. Artificial intelligence is a potent tool that helps companies get the most from their data.

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6 Types of Automation [Benefits, Pros/Cons, Examples]

Conger

Examples of automation range from a household thermostat to a large industrial control system, self-driven vehicles, and warehousing robots. Examples are industrial robots and multipurpose CNC machines. Process Automation Process automation means using technology to automate manual processes through data and systems integration.

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Freight Market Intelligence: Data is crucial, but context is king

Freightos

In this article, Eytan Buchman, Freightos’ CMO, discusses the importance of data and context in global freight and logistics. The future of global freight data lies in real-time information, contextual insights, and aggregated data that can help companies make better decisions and adapt to a rapidly changing industry.

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Supply Chain Planning Maturity – How Do You Compare to Peers?

An event upstream in a different country or region can cause considerable disruption downstream. The COVID-19 pandemic is an extreme example of how this unfolds in practice. Time allocated to data collection: Data quality is a considerable pain point. Today's supply chains are networked, global ecosystems.

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Why near-real-time electronic freight tender trucking data is more reliable than waiting on submitted data

FreightWaves SONAR

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

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5 Analytic Shipping Data Insights for Shippers From SONAR

FreightWaves SONAR

Supply chain intelligence and actionable insights must apply the most accessible, near real-time data available. Analytic data resources for brokers are great, but it’s equally important to realize that FreightWaves SONAR is much more than a broker-exclusive resource. Market dynamics of freight management can turn on a dime.

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