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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!

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How To Jump

Supply Chain Shaman

With the evolution of eCommerce, shifts in regional preferences, complexities of product portfolios, decline in forecastability, and increase in demand and supply variability, supply chain planning is more challenging. Turn Volume Make to stock Very Forecastable. Long Tail Configure to Order or Make to Order Not forecastable.

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Supply Chain Resilience. Really?

Supply Chain Shaman

Expand the “FLOW” program for logistics information sharing to forecast transportation flow. If businesses cannot accurately forecast revenue, the organization is not resilient. My answer is why are we spending so much money in technology and human capital to degrade the forecast with an exponential impact on inventory.

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What is Supply Chain Decision Support? Are We Rearranging Deck Chairs on the Titanic?

Supply Chain Shaman

The essence of the question is resilience and the ability to forecast in a variable market reliably. This gets us to the question of what is the role of the forecast?` For most, forecasting is a conundrum full of potholes, politics, and bias. I attempted and failed to: Use Point of Sale Data in Supply Chain Forecasting.

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Untangling The Tangled Web We Weave

Supply Chain Shaman

Was it that Kraft was not clear in its definition of supply chain excellence (which was true) or not clear on how to best use the system (which was also true)? What defines supply chain excellence? Instead, the focus was on error assuming that items at a location level (SKU) were forecastable. How should they make a decision?

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The Forecasting Conundrum

Logility

I have heard a number of supply chain professionals proclaim that their companies should stop forecasting product demand due to poor forecast accuracy. If we could only get closer to true end-customer demand the company could ship exactly what is needed, where and when. It’s the old Push – Pull argument.

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Demand Forecasting with Artificial Intelligence: The Future of Effective Business Planning

ThroughPut

In this article, we look at the capabilities of the most common forecasting methods, and which situations they are best for given their current limitations. Breaking down demand forecasting. Before getting into the forecasting models, it would be useful to define the three main components of demand forecasting.