Remove Inventory Remove Optimization Modeling Remove Shipping Remove Transportation
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Revolutionizing Supply Chain Planning: The Power of Generative AI

Logility

Generative AI is a Large Language Model (LLM), a type of AI that can create new content. By employing deep learning techniques, generative AI models can recognize patterns and correlations that may elude traditional forecasting methods. This leads to optimized inventory levels, reduced stockouts, and enhanced customer satisfaction.

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Supply Chain Resilience. Really?

Supply Chain Shaman

Expand the “FLOW” program for logistics information sharing to forecast transportation flow. I am currently doing research on inventory management. In the research, I ask inventory planners to define resilience. No technology in the market measures inventory health. Today, this is not the case.

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Turn a Good Demand Forecast into the Optimum Inventory Plan

ToolsGroup

How Do You Turn a Good Demand Forecast into the Optimum Inventory Plan? They care if you have the inventory they want when they want it. But carrying too much inventory can reduce profits and might not be practical for some items such as fresh goods. How do you turn a good forecast into a great inventory plan?

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5 Steps to Optimizing a Shipper’s Transportation Network

Intelligent Audit

On the transportation end of supply chains, shippers adapt to the transportation needs at any given time to ensure this part of the supply chain continues as well as possible. This is why transportation network optimization is important. What Is Transportation Network Optimization?

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Predictability in a Time of Uncertainty: Machine Learning in Logistics

Logistics Viewpoints

Machine learning (ML) techniques can be applied to provide more accurate transit information and estimated arrival times (ETAs) by analyzing the historical shipment data in your transportation management systems. The model learns continuously and can adapt to changing conditions in the network.

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Continuous Warehouse Optimization and The DC Technology Gap

Logistics Viewpoints

Many companies are achieving this transformation by adopting modular, elastic DC technologies – including AI and robotics – that provide continuous warehouse optimization without replacing their current monolithic and static warehouse systems. Those systems and processes were designed to serve the current business model for 10 years or more.

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What Georgia-Pacific Is Doing With Causal AI Is Remarkable

Logistics Viewpoints

But for that to occur, all of the dominos must fall into place: the product must be available to promise, there needs to be enough shipping capacity, and there needs to be an understanding of how inventory will be moved between mills and distribution centers. Seeing the layers of knowledge modeled in a knowledge graph is more powerful.

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