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The Promise and Peril of Generative AI for Supply Chains

Logistics Viewpoints

For knowledge management, imagine generative AI primed to intelligently search all of a company’s internal documentation to solve all kinds of problems from “how did we do this before” to “how do I do this now.” Perhaps the most useful way to think of generative AI is as the future of how we interface with computers.

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New Student Projects Suggest Greater Focus on Analytics

Supply Chain View from the Field

Center for Environmental Farming Systems (1) – Dairy Farming Project – Helping to create a transition plan to Austin Family Dairy Farm, a 75-Jersey cow conventional dairy farm located in Yancey County, North Carolina. You guessed it – ANALYTICS! What do all of these projects have in common?

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The Power of the Network: ERP vs. Spend Management

Logistics Viewpoints

GEP and the North Carolina State University (NCSU) Supply Chain Resource Cooperative surveyed supply chain, procurement and IT professionals across a range of industries to gain insight into their priorities and strategies regarding supply chain resilience and optimization. Alex Zhong, Director Product Marketing at GEP.

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Handfield’s Supply Chain Analytics Predictions for 2014

Supply Chain View from the Field

I visited the BVL Kongress in Berlin, and also attended the International Institute for Analytics ”Chief Analytics Officer” meeting last summer. We just finished hosting over 150 executives at our Supply Chain Resource Cooperative, with a theme on Supply Chain Analytics.

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Getting Started with AI in Supply Chain

Logistics Viewpoints

Instead of searching for and reading multiple help documents, the planner can simply ask for help in natural language and receive an answer that is a single, synthesized explanation of those sources in Portuguese (even if the documentation is in English).

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Can Improving Forecast Accuracy Address Our Demand Planning Woes?

Logistics Viewpoints

They document many reasons why this is the case, from observable human biases we readily discount to incentive misalignment to “algorithm aversion.”. And document the actual impact of judgment using a forecast valued-added process in order to make clear when it adds value and when it does not.

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Off to another exciting year of student-industry engagement at NC State on cutting-edge supply chain projects

NC State SCRC

Here is a sample of the type of projects our MBA and Engineering students are working on this semester, proving again that NC State is all about “THINK AND DO” (in our case, executing on practical applications in the real world using robust supply chain analytical approaches). Yum Brands Beef Analytics.