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Can Improving Forecast Accuracy Address Our Demand Planning Woes?

Logistics Viewpoints

If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? Artificial intelligence and machine learning ( AI/ML ) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves.

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What Are the Most Important 2020 Freight Metrics to Know?

GlobalTranz

In early 2020, the market forecast for freight looked bright. China trade war appeared at an end, and few disruptions were believed to cause issues in 2020. The post What Are the Most Important 2020 Freight Metrics to Know? The post What Are the Most Important 2020 Freight Metrics to Know?

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Forecast Accuracy at the SKU Level is Achievable

Logility

Over my 25+ year supply chain career I have worked for several distribution-intensive companies and every single one of them had a focus on improving forecast accuracy. Achieving a high SKU level forecast accuracy is a top goal for supply chain planning teams regardless of industry, size, location, etc.

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Toilet Paper Shortages, Empty Shelves, and Panic Buying: Just How Bad Did the Grocery Supply Chain Perform in 2020?

Logistics Viewpoints

To say that the pandemic made 2020 a very challenging year would be a gross understatement. A study by E2open – the 2021 Forecasting and Inventory Benchmark Study: Supply Chain Performance During the Covid-19 Pandemic – provides the answers. Benchmarking the forecasting process is difficult.

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Insight from Applied Statisticians for Forecasting: Is It Worth the Effort and the Mirage of Random Variation

Arkieva

In this blog, we will illustrate through an example of these potential pitfalls (unanchored, random variation, and narrow metrics) and potential negative impact on a firm. Insight from Applied Statisticians for Forecasting: Is It Worth the Effort and the Mirage of Random Variation was first posted on October 14, 2020 at 8:09 am.

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A New Decade: Give Science A Chance

Supply Chain Shaman

When I started my business in 2012, I frequently wrote about the future using the moniker of Supply Chain 2020. At that time, Supply Chain 2020 seemed so far away. I then want to illustrate the point by sharing some client experiences in 2020. (I The SAS forecasting system implemented in 2019 was not tested for model accuracy.

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2020 Requires Big Wings and Feet

Supply Chain Shaman

The fall ritual precedes the dropping of the ball on Times Square to ring in 2020. The budget is not sufficient and is often a detrimental input for supply chain forecasting. Why Is the Financial Forecast Not a Good Proxy for a Supply Chain Forecast? The supply chain forecast is a rolling forecast.