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My Take: Let’s Admit Seven Demand Management Mistakes of the Last Decade

Supply Chain Shaman

After two decades of process and technology refinement, excellence in demand management still eludes supply chain teams. What we find is that we have actually moved backwards over the course of the last ten years on growth, operating margin and inventory turns.

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Fueling Success: Career in Supply Chain Guide

SCMDOJO

We enable them by providing high-quality supply chain on-demand courses, guides, best practices, tools, and mentoring from industry experts. We have Courses like S&OP deployment, Supply Chain Digitalization , , and Negotiation in Procurement. Access the full course here! It is the era of digitalization.

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What If You Could Take The Guesswork Out Of Forecast Planning? Guest Post from Osgood Vogler

Kinaxis

The author, Osgood Vogler, Director, Analytics, Celestica Supply Chain Managed Services, describes an insight-based demand management process: So, how do you take the guesswork out of forecast planning? Demand planning has a big impact on business performance. How predictable is the demand? Let’s find out.

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How Do We Stop Buying Planning Software the Wrong Way?

Supply Chain Shaman

My organization does not believe in demand planning. The lack of belief in demand management is a barrier for us. I know that it sounds funny, but a good demand plan helps organizations to align and discuss the market potential. Of course, this assumes that you accept that all plans, even the best ones, have error.

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18 Ways to Get SALES Involved in Demand Planning

Silvon Software

The demand planning process must be easily understood and should convey who does what, and by when. At a minimum, sales should start with a statistical base forecast and historical data provided by the demand manager and make incremental changes each month. Expect Sales to make incremental changes only.

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Demand Forecasting in an Inflationary, Supply-Constrained, Semi-Post-Pandemic Environment

Logistics Viewpoints

Of course, an analysis of this type uses dissimilar events with different mechanisms of influence on activity, but it can still provide some useful insights that can direct further analysis. Their analysis showed which industries tend to have large swings in capital expenditures subsequent to economic shock.

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What Will a Supply Chain Planning Job Look Like in the Future?

ToolsGroup

Even setting aside all the hype right now around Artificial Intelligence (AI), the fact remains that the use of machine learning, at least for demand analytics and demand management, is growing and accelerating. Of course not. Do you need to be a data scientist to use them? You may not even know the technology is there.