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No Time Like the Present

Supply Chain Shaman

I love the stories but question the fit of the metaphor(s) for a supply chain conference. In the world of supply chain management following 33 months of disruption, this is not the case. The larger the organization, the more tension with conflicting functional metrics making decisions more difficult. The reason?

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Supply Chain Network Design & Optimization: Steps, Guide, and Efforts

SCMDOJO

Supply chain design and optimization projects present significant challenges, ranging from complex network structures, and multiple databases to diverse business objectives. However, achieving these objectives requires a strategic approach and a deep understanding of dynamics within the supply chain ecosystem.

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Outside-in Process Q&A

Supply Chain Shaman

On Friday, I presented an overview of outside-in planning to a consulting group. I love the questions when I present. Can you describe the outside-in model? Based on the work with Georgia Tech, we are getting clear on which metrics matter by industry. The reason? Outside-in Planning Taxonomy 2. Who does it best?

Modeling 215
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4 Steps to Skyrocket Your Demand Forecasting Accuracy

Logility

In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. The very foundation of operational efficiency, customer satisfaction, and overall profitability hinges upon the ability to predict demand with precision. What is Demand Forecasting Accuracy?

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Analysts Support a Single Model for Sales and Operations Planning

ToolsGroup

A new report from Nucleus Research, Value Drivers of Single Model S&OP , concludes that the historical disconnect between planning and execution in S&OP is best bridged by a single unified data model that allows companies to continuously synchronize their strategic, tactical and execution plans.

Modeling 179
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Dispelling Untruths: 10 Generative AI Myths

Logility

AI has presented challenges and opportunities for business leaders seeking to leverage its potential across their organizations to improve efficiency and increase profitability. It can learn faster than humans and is trained to process and analyze huge amounts of information based on training data, algorithms, and statistical models.

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Trying to Push Content Above the Noise

Supply Chain Shaman

As I wrote, I reflected on the Generative AI hype cycle in the supply chain market and the contribution to noise. I questioned in this time of uncertainty if supply chain leaders will value data-driven content. Conventional wisdom centers on the use of enterprise data to make the supply chain more efficient.

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