Remove Demand Planning Remove Sourcing Remove Supply Chain
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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. Over the last two years, I actively engaged technologists and business leaders to redefine demand planning.

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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

(The planning team was defending the status quo without questioning current practices and how to improve them.) The question was, “How can I redefine demand planning processes to use channel data?” Starting to understand the issue with multi-tier demand planning? Granularity also differs. Be careful.

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. ” Let’s face it all supply chains have error.

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Demand Planning Data Sources: ERP, CRM & PLM

QAD

Having a good Supply Chain Management (SCM) process is crucial for offering excellent customer service. Research from Gartner found that 83% of businesses believe that the supply chain is key to enhancing customer experience. So far, we’ve seen how data is an integral part of the demand planning cycle.

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If Only the Supply Chain was Reconfigured

Supply Chain Shaman

Goodman titled “ The Supply Chain, Reconfigured.” ” His narrative centers on the evolution of the global supply chain evolving with a focus on labor arbitration ignoring geographic distance and shipping issues. The populist narrative of sourcing globalization is only part of the story.

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Demand Planning Apps Top Supply Chain Planning Machine Learning

ToolsGroup

Source: Gartner 2018. Gartner recently polled both users and vendors on which supply chain planning (SCP) applications are employing machine learning and in three different analysis, demand planning and demand forecasting came out top of the list. Quality management came in third.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. When it came out, ChatGPT seemed like magic.