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Definitions Matter

Supply Chain Shaman

In my writing, I try to get clear on definitions. Traditionally, the definition of end-to-end supply chain planning meant: Forecasting based on order or shipment patterns. Forecast consumption into supply planning based on rules (rules-based-consumption). Let’s take an example. This is a post from LinkedIn today.

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Essential Guide for Demand Forecasting in 2024

ThroughPut

Demand forecasting is a critical component of supply chain management, especially in the complex and unpredictable market landscape of 2024. Accurate forecasts are essential for maintaining inventory balance, ensuring customer satisfaction, and achieving financial stability. What is Demand Forecasting?

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How to Improve Your Statistical Forecast Using Machine Learning

Arkieva

Our latest webinar examines the varying definitions of machine learning and artificial intelligence while discussing how they can be leveraged to improve your statistical forecast. How to Improve Your Statistical Forecast Using Machine Learning was first posted on June 15, 2023 at 8:11 am.

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What’s Your Forecast Accuracy Target for 2019?

ToolsGroup

Editor’s Note: Two years ago we posted a blog about how to set an annual forecast accuracy target and it was one of our most popular topics. It seems as if everyone is looking to improve their forecasting performance. How much can you realistically expect to improve your forecast accuracy each year?

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What Does Good Look Like S&OP?

Supply Chain Shaman

Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. There is a clear definition of the role of the supply chain in the delivery of value. Definition and alignment on why should make a decision and what a good decision looks like. Improved Forecast Value Added (FVA).

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Artificial Intelligence – sifting through the hype and the promise for forecasting

Kinaxis

by Polly Mitchell Guthrie Today I sat through a full day of talks at the International Institute of Forecasters Foresight Practitioner Conference , which was focused on the topic of “Artificial Intelligence —The Hype and the Promise for Forecasting and Planning.” What is the forecast for AI/ML? Some promising results.

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Just Jump

Supply Chain Shaman

In my first classes, I taught the group how to speak the language of demand—forecastability, Forecast Value Added (FVA), backcasting, demand and market latency, and market drivers. The students learn that there is no definition of end-to-end planning because the current taxonomies for modeling are fragmented. The So What?