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Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows

Logistics Viewpoints

Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,

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Understanding Matrices in Supply Chain

Log-hub

They help businesses organize and analyze data, leading to better decision-making and improved efficiency. In supply chain management, it can represent complex data sets, such as transportation costs, inventory levels, and supplier relationships. Matrices store historical sales data, allowing analysts to identify trends and patterns.

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Advanced Matrix Applications in Supply Chains

Log-hub

By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. The Future of Matrix-Based Optimization The Future of Matrix-Based Optimization AI and machine learning (ML) take matrix-based analysis to new heights.

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Log-hub Introduces New Demand Forecasting App and Enhances Existing Supply Chain Apps

Log-hub

By leveraging advanced time series modeling and AI-driven algorithms, the app provides dynamic and highly accurate demand forecasts tailored to the complexities of real-world markets. Users can customize seasonal patterns and fine-tune trend sensitivity, ensuring the models align with their specific market dynamics. STILL CURIOUS?

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Log-hub’s New and Enhanced Tools for Smarter Cost Management, Enhanced Routing, and More

Log-hub

3 min read Log-hub announces a major update to its Supply Chain Apps, delivering powerful enhancements that streamline cost management, route optimization, and data-driven decision-making. Businesses managing complex shipping patterns can now structure freight costs using four matrix types, including weight-zone and weight-distance models.

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Why are WMS Sales so Persistent? Here is How I Learned of WMS’ Ongoing Importance

Logistics Viewpoints

For me, getting down to the “nitty gritty” was modeling high-level objective functions with constraints using linear programming. It was nice to think that one could model a couple high level constraints on a computer and then “magically” determine how to maximize a company’s profits. What about the data quality?

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Circular Supply Chains: Reducing Waste & Maximizing Resources

Log-hub

The Key Elements of a Circular Supply Chain A successful circular economy model integrates multiple strategies to reduce waste and maximize resources. This model helps reduce e-waste while increasing product longevity. According to McKinsey, new business models like leasing and sharing could generate up to $4.5