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Success story – Increasing end-to-end transparency in the supply chain

Log-hub

In this blog post you can discover how Log-hub’s strategic collaboration with Huber+Suhner transforms supply chain management, overcoming challenges, enhancing end-to-end transparency, and delivering substantial business value through innovative data-driven solutions. The project is now well advanced. .”

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Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis

Log-hub

In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years. Florian Brunner Data Engineer  Still curious? Explore Need support?

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Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis

Log-hub

In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years. Florian Brunner Data Engineer  Still curious?

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Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis

Log-hub

In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years. Florian Brunner Data Engineer  Still curious?

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Cart Before the Horse: Digital Freight Matching, A.I. and Machine Learning for Freight

Parade

In the case of brokerages, it would be impossible for their carrier sales reps to quickly, efficiently and reliably digest and understand all data about 10,000s of carriers. Without solid data collection, these emerging technologies would be impossible. Not very helpful. Not very effective at all.

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How AI Helps Build the Supply Chain that Thinks for Itself

Logistics Bureau

This AI tool is based on data and rules. With more data and greater processing power now available, computers that learn by themselves have become more feasible. Using ML, a computer automatically finds patterns in data. It can use them to draw conclusions from new data. Stale or bad data. Lack of skillsets.

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11 Common Maintenance Issues (And a Solution for Each!)

Conger

They can help determine your average spend on equipment maintenance and many other things, such as: Using data to understand fleet size & costs and recognize your most efficient fleet size. After knowing this difference, you need to make sure you have carefully-recorded data, including the year of manufacture and hours of use.