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Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

In fact, it’s estimated that up to 80 percent of new product launches in the consumer packaged goods (CPG) industry fail. 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. Overall reasonably accurate forecasts.

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Big Data: A Valuable Forecast Tool to Future-Proof Supply Chains

Logility

Now that businesses have better access to predictive forecasting technologies that leverage data from the past and present, such a one-sided approach to forecasting, analytics, reporting, and planning is no longer justifiable. This then translates into fewer lost sales and lowering product unavailability by up to 65%.

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What Technology are Teams Using to Support Their Demand Forecasting Process?

AIMMS

Part II in our series on assessing your Demand Forecasting process . In Part I of this series , we looked at supply chain professionals’ perception of forecast accuracy and how they see their forecast evolving in the future. The use of technology for demand forecasting is widespread .

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Let’s take a closer look at each one. Accuracy and transparency.

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How Does Demand Sensing Differ from Forecasting for Demand Planning?

Logility

For today’s supply chain planner, the art and especially the science of forecasting demand have evolved. Traditionally, forecasting models were based on time series techniques that create a forecast based on prior sales history. The limitations of time-series forecasting. Here’s one boardroom scenario.

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What Technology are Teams Using to Support Their Demand Forecasting Process?

AIMMS

Part II in our series on assessing your Demand Forecasting process . In Part I of this series , we looked at supply chain professionals’ perception of forecast accuracy and how they see their forecast evolving in the future. The use of technology for demand forecasting is widespread . – Tweet this. Only 25.7%

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PPC Flexible Packaging: Creating the Blueprint for a Successful S&OP Journey

Logility

However, when Angie Taylor, CSCP, Vice President of Sales Operations at PPC Flexible Packaging LLC (PPC), shared the stage, she reached the heart of every supply chain challenge. higher fill rate and a 38% increase in forecast accuracy. The S&OP process is only about 10% technology. And the results speak for themselves.

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