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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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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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Forget the Crystal Ball. Instead, Link Forecasting Directly to Production Planning.

BlueYonder

That capability is accurate, dynamic, real-time forecasting. Thanks to artificial intelligence (AI), machine learning (ML), data science, analytics, and advanced algorithms, today’s forecasting solutions are smarter and more precise than ever.

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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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Autonomous Business Planning Is Not Only Possible, It Has Already Been Achieved

Logistics Viewpoints

Further, the journey to autonomous planning does not rely on a highly accurate forecast. “I I have not cared for 20 years”, Mr. Bakkalbasi states with force, what level of forecast accuracy is achieved. Forecasting is not an actionable item.” You don’t act on a forecast; you act on what you purchase.

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How Smart Contracts Are Impacting Supply Chains

Logistics Viewpoints

Inventory & Warehouse Management Warehouses and fulfillment centers are prone to stock discrepancies, mismanagement, and delays due to human error. How Smart Contracts Improve Warehousing Automated Stock Replenishment: Smart contracts automatically trigger new orders when inventory levels fall below a certain threshold.

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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.