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

Log-hub

By integrating external variables such as holidays, weekends, and promotions, the App enhances historical demand data to accurately reflect real-world influences. Population Data for Area Mapping The Supply Chain Map and Area Mapper now include population data for mapped areas. STILL CURIOUS? Explore WANT TO TALK TO US?

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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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Circular Supply Chains: Reducing Waste & Maximizing Resources

Log-hub

Log-Hub offers Supply Chain Apps that work within Excel but can also seamlessly integrate with your existing systems and data workflows, providing reliable insights. More resources are waiting for you in our Knowledge base. Try our tools today or get in touch with our team. STILL CURIOUS? Explore WANT TO TALK TO US?

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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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Log-hub Strengthens Leading Market Position in the Global Logistics Sector

Log-hub

Fleet optimization features help determine the ideal fleet size and composition, enhancing service reliability and customer satisfaction. By transforming complex data into actionable insights, Log-hub empowers providers to deliver impactful pitches that build client confidence and set them apart in competitive tenders. STILL CURIOUS?