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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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Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. Why is new product forecasting important?

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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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Demand Planning Software – Top 3 Demand Forecasting Mistakes to Avoid

Logility

Top 3 Demand Forecasting Mistakes —How To Avoid Them with Demand planning software Demand forecasting is a critical facet of successful business operations, acting as the helm guiding companies through the rocks hiding beneath the water of market demands. What is Demand Forecasting?

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Achieving Significant Transportation Savings through Improved Demand Forecasting

Logistics Viewpoints

The implementation also involves leveraging weather data to improve forecasting. Gijs Majoor, vice president of supply chain and sustainable fuels, and Jacob Gladysz, the director of logistics explained the Pinnacle Propane business and their journey to improve their forecasting. Forecasting is harder there. This is also rare.

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Options for inventory planning and forecasting

SYSPRO Smarter ERP

In an increasingly unpredictable world environment, practices for planning and forecasting inventory levels that worked in the past need to be reviewed. More recently, artificial intelligence (AI) has been promoted as the way to address the complexities of inventory planning and forecasting. Using AI in inventory management.

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Demand Forecasting in the new normal

SYSPRO Smarter ERP

Manufactures are continuously faced with the challenge of forecasting how much (raw material) to purchase and how much (finished goods) to produce. The misalignment can result in multitude of negative consequences such as high warehousing costs, cash flow difficulties, loss of sales, which can lead to permanent loss of loyal customers.