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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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Circular Supply Chains: Reducing Waste & Maximizing Resources

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Waste has been the default setting of supply chains for decades. A circular economy , where materials are reused, repurposed, or recycled to create a more sustainable supply chain that minimizes waste and maximizes value. This model helps reduce e-waste while increasing product longevity. The solution?

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Understanding Reverse Logistics: Turning Challenges into Opportunities

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Proper recycling and disposal reduce waste and contribute to a positive brand image. Invest in Technology Use advanced tracking systems, AI, and data analytics to monitor returns and predict trends. This improves efficiency and reduces waste. More resources are waiting for you in our Knowledge base. STILL CURIOUS?

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Advanced Matrix Applications in Supply Chains

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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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Top Supply Chain Optimization Strategies for 2025

Log-hub

Maybe its switching to local suppliers, using electric vehicles for deliveries, or reducing waste in packaging. Many businesses waste resources on low-profit customers or processes. Use data analytics tools to track costs across your supply chain. More resources are waiting for you in our Knowledge base.

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The Tech Behind Great Techs: 4 Reasons Why Your Pest Control Techs Need a Good Mobile App

WorkWave

As technology continues to permeate virtually every facet of your customers’ everyday lives, many of them are expecting solutions to their problems more quickly than ever; your technicians don’t have time to waste checking for pest activity manually, especially at larger sites like stores or warehouses.

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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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