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From Theory to Practice: Bridging the Gap with Log-hub AG’s Academic Program

Log-hub

Collaboration opportunities: Engage in meaningful research collaborations with industry experts and Log-hub’s team. These resources give you the ability to conduct meaningful, data-driven research that can contribute to academic and industry innovations. More resources are waiting for you in our Knowledge base.

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Log-hub and KNIME Forge Strategic Partnership to Revolutionize Supply Chain Optimization

Log-hub

This collaboration brings together Log-hub’s innovative and AI-based supply chain algorithms highly focusing on network design and route optimization with KNIME’s intuitive platform for end-to-end data science. About KNIME KNIME helps everybody make sense of data.

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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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Supply Chain Disruption: How Stronger Collaboration Will Have a Big Impact on the Future of Logistics Management

GlobalTranz

In this blog, Camcode discusses how collaboration provides supply chain disruption to impact the future of logistics management. One of the key factors in digital supply chain disruption is enhanced collaboration. Asset Tracking Provides Cross-Departmental Knowledge.

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Log-hub, K2 Mobility, and WHU Join Forces to Accelerate Heavy-Duty Electric Vehicle Adoption in Logistics

Log-hub

e-Embarque will focus on expanding real-life data and sound scientific analysis to foster fact-based discussion and decision-making when adopting e-mobility for logistics fleets. More resources are waiting for you in our Knowledge base. STILL CURIOUS? Explore WANT TO TALK TO US? Book a call NEED SUPPORT?

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Optimize Inventory, Minimize Costs with Log-hub’s New Inventory Optimization App

Log-hub

3 min read Up to 15% cost savings and boosted service levels with data-driven inventory management tailored to users’ unique demand patterns. Supply chain managers gain the ability to make strategic decisions backed by data-driven analysis, improving overall efficiency and responsiveness.

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Real-life Examples of Supply Chain Optimization

Log-hub

By leveraging technology, data analytics, and innovative strategies, companies can streamline their supply chains and achieve significant improvements. Artificial intelligence (AI) and machine learning algorithms analyze vast amounts of data to predict demand, optimize routes, and manage inventory levels.