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

Logistics Viewpoints

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. These data include information such as types of goods, location, weight, size, origin, and destination.

Data 150
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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. They have fixed machines that enable their production of large quantities of soft same-unit drinks to meet high demands. Examples are industrial robots and multipurpose CNC machines.

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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.

Data 106
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Managed Logistics Meets Five Challenges for Complex Supply Chain Operations

Blue Grace Logistics

Managed Logistics Meets Five Challenges for Complex Supply Chain Operations Show Submenu Resources. In searching for a provider, here are five tactical challenges that any MLP must meet. Key stakeholders should be prepared to fully share relevant data and detailed customer-expectation information. The Logistics Blog®.

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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.

Data 62
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Körber Elevate 2024: Chart Your Course

Logistics Viewpoints

Mr. Elliott made two statements early in his presentation that stuck with me. Elliott pointed to four main predictions for 2024, and then outlined the three pillars of how Körber will be able to meet the goals that align with these predictions. Data Visibility. Data is at the center of all decisions across the supply chain.

Course 136
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Managed Services Clarifies Data In The Chemical Supply Chain

Trinity Logistics

Chemical manufacturers collect and use a lot of data in their supply chain. They deal with data on their products, customers, transportation, storage, operations and more. Acquiring that data is not hard but managing and utilizing that information to be able to analyze your business is the challenge. Managed Services.