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

Log-hub

By working with industry-standard tools, you’ll be better prepared to meet the expectations of employers in this rapidly evolving field. 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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Optimize Inventory, Minimize Costs with Log-hub’s New Inventory Optimization App

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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.

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Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis

Log-hub

Efficient inventory management, layout organization, and operational strategies are key to meeting customer demands while minimizing costs and maximizing profits. Data Extraction and Cleansing: Commence by meticulously extracting and cleansing relevant sales and inventory data to ensure the accuracy and reliability of your analysis.

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Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis

Log-hub

Efficient inventory management, layout organization, and operational strategies are key to meeting customer demands while minimizing costs and maximizing profits. Data Extraction and Cleansing: Commence by meticulously extracting and cleansing relevant sales and inventory data to ensure the accuracy and reliability of your analysis.

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Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis

Log-hub

Efficient inventory management, layout organization, and operational strategies are key to meeting customer demands while minimizing costs and maximizing profits. Data Transformation and Integration : Transform and combine your datasets, to allow for a holistic view of your inventory and sales performance. Explore Want to try our demo?