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

Logistics Viewpoints

It is hard to believe it has been two years since I was faced with forecasting WMS and warehouse automation market growth rates in the midst of the COVID-19 pandemic. These events make accurate forecasting very difficult. I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do.

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Achieving Significant Transportation Savings through Improved Demand Forecasting

Logistics Viewpoints

When companies implement a demand management or replenishment system, the goal is usually to improve customer satisfaction while holding less inventory. The implementation also involves leveraging weather data to improve forecasting. The forecasting projects were focused on secondary distribution. This is also rare.

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ToolsGroup Acquires Mi9 Retail’s Demand Management Business

ToolsGroup

Mi9 Retail’s Demand Management business was formerly known as JustEnough Software. BOSTON (Nov 8, 2021) – ToolsGroup , a global leader in supply chain planning and optimization software, today announced its acquisition of Mi9 Retail’s Demand Management business.

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Forecasting and demand management for new events using machine-learning algorithm

Kinaxis

When it comes to forecasting and demand management , a lot. For events like the Super Bowl, retail demand planners create forecasts using data from a variety of sources to adjust product demand profiles in anticipation of which product, or group of products might be in demand the most.

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Time Series Forecasting Basics

Arkieva

In this blog we briefly cover some key insights for successful time series forecasting: (a) Profiling the Shape of the Curve is the first stage, and the first step is assessing if the time series is stationary. (b) b) The forecast method identified must capture the shape and be able to project the shape across time. (c)

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Just Jump

Supply Chain Shaman

In my first classes, I taught the group how to speak the language of demandforecastability, Forecast Value Added (FVA), backcasting, demand and market latency, and market drivers. 40-50% of items are not forecastable at an item/location level. Instead, we need to Jump. The So What?