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Predictability in a Time of Uncertainty: Machine Learning in Logistics

Logistics Viewpoints

ML looks into historical data (for example, transit time statistics of carriers) and data from impactful external factors (such as port congestion, weather or holidays) and uses this information to develop more accurate transit time estimates. The model learns continuously and can adapt to changing conditions in the network.

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Ethical Considerations in Supply Chain Compliance

Logistics Viewpoints

For example, integrating renewable energy into supply chains can reduce environmental footprints while enhancing brand equity, demonstrating a commitment to sustainable operations. For example, using AI-powered tools to optimize logistics can reduce energy consumption and enhance sustainability.

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Optimizing the food industry: a conversation with UniSoma’s Luis Pinto

AIMMS

The first product of this partnership is TacticalOps, a Planning & Optimization solution for Food Manufacturers. I spoke with Luis Pinto, Partner at UniSoma, to understand the need for new planning and optimization solutions in the global food supply chain. I’ve seen the attitude towards optimization evolving yes.

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Nine Key Steps to Enabling Resilient Supply Chains

Logistics Viewpoints

Now more than ever, organizations must prepare their supply chain for the present and the unknown challenges and opportunities in the future. Doing so helps organizations detect market shifts and makes supply chain decisions more forward-looking than an analysis of the past, present, and at best, a tactical view of the future.

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What Georgia-Pacific Is Doing With Causal AI Is Remarkable

Logistics Viewpoints

However, complex process manufacturing presents a much more difficult ATP problem than is typical in discrete industries. Causal AI utilizes sophisticated causal models to make decisions on multiple levels. Seeing the layers of knowledge modeled in a knowledge graph is more powerful. Before working with GP, Parabole.ai

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The Past, Present, and Future of Technology in the Warehouse

Logistics Bureau

For example: Paperwork and data entry: WMS has reduced the need for people to spend time completing paper forms or entering data from documents into spreadsheets and other data-management applications. That’s just what we’re seeing here, a prime example of how even more people are being displaced from the warehouse environment by technology.

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Supply Chain Design Crosses the Chasm

Logistics Viewpoints

Pop up warehouses, micro fulfillment centers, and warehousing-on-demand are all examples of how the nodes are becoming increasingly dynamic. For the longest time modeling and designing such nodes, modes, and flows has been the realm of Supply Chain Design. Sustainability initiatives can benefit through optimizing the carbon footprint.