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3 Demand Forecasting Myths Debunked

Logility

That’s why adapting forecasting methods is essential to navigate the diverse and constantly changing demand patterns effectively. In this article, we’ll explore why a dynamic forecasting approach is beneficial and necessary for today’s demand planners to maintain accuracy and efficiency.

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ChatGPT and the Revolution of AI-First Forecasting

Logility

While traditional forecasting methods have served us well, they often fall short when addressing the evolving challenges of today’s dynamic business landscape. In this article, we’ll explore the fusion of AI-first forecasting with traditional models and its immense value to the supply chain.

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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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Causal Forecasting Brings Precision to your Forecasting

Logility

Causal f orecasting shines a light on , and isolates, actual demand signals from market “chatter,” thus improving forecast quality. What Exactly Is Causal Forecasting? . First, what it’s not is a replacement for demand forecasting. The Benefits Offered by Logility’s Causal Forecasting Solution.

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Don’t Wait to Innovate: 3 Key Benefits of Causal Forecasting

Logility

That’s precisely what demand forecasting feels like for many businesses today. Enter causal forecasting. Unfortunately, many companies hesitate to use causal forecasting, thinking it’s too complicated or resource-hungry. What is Causal Forecasting? That’s where causal forecasting comes into play.

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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%.